Algorithms and Data Structures
Introduction.- Sorting and Searching.- Hashing.- Trees.- Graphs.- Weighted Graphs.- App. A, Probabilities.- App. B, Mathematical Terminology and Useful Formulas.- References.- Symbols.- Index.
Journal of the Oklahoma State Medical Association; 31, (1938)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Journal of the Oklahoma State Medical Association; 3, (1910-1911)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Journal of the Oklahoma State Medical Association; 2, (1909-1910)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Journal of the Oklahoma State Medical Association; 35, (1942)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Modularizing Legacy Projects Using TDD
Improve current or new projects with top notch testability and maintainability. Writing tests improves the design of your apps, as it pushes you to have a more modularized design. This in turn improves the maintainability and sustainability of your apps. This book is for iOS developers who already know the basics of iOS and Swift development but want to learn all the testing pro features in iOS.You'll start by reviewing the TDD Cycle and how to implement these concepts on a legacy project or a new one. You'll then walk through TDD step-by-step on a blank project, including setting up test targets, assertions, and expectations. You'll follow that with all levels of testing such as unit tests, integration tests, and end-to-end tests, and also tackle fairly complex, yet badly written legacy code. The book will take you through the journey of modularizing a legacy app using TDD. Throughout this journey, you will be introduced to multiple testingconcepts and techniques, like writing tests for network and core data layers. You will write tests to ensure the thread safety of your app. And you'll add a new feature while you are in the middle of refactoring, which is an important skill so you can keep adding features while you are fixing your technical debt. By the end of this book, you will have all the tools needed to become a testing master. What You'll LearnUse mocking and dependency injection to make components more testable Write tests for asynchronous code like network code Add new features to existing legacy apps using TDDWho This Book Is ForExperienced iOS developers who care about software quality and meeting customer expectations.
Business Analysis, Requirements, and Project Management
This textbook links business and IT requirements with project management. Designed for computing students, it presents a step-by-step approach, examples, explanations, exercises, and answers. The text gives students what they need to get through requirements and management courses and prepares them for professional practice.
Journal of the Oklahoma State Medical Association; 47, (1954)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Embracing Microservices Design
Develop microservice-based enterprise applications with expert guidance to avoid failures and technological debt with the help of real-world examplesKey Features: Implement the right microservices adoption strategy to transition from monoliths to microservicesExplore real-world use cases that explain anti-patterns and alternative practices in microservices developmentDiscover proven recommendations for avoiding architectural mistakes when designing microservicesBook Description: Microservices have been widely adopted for designing distributed enterprise apps that are flexible, robust, and fine-grained into services that are independent of each other. There has been a paradigm shift where organizations are now either building new apps on microservices or transforming existing monolithic apps into microservices-based architecture.This book explores the importance of anti-patterns and the need to address flaws in them with alternative practices and patterns. You'll identify common mistakes caused by a lack of understanding when implementing microservices and cover topics such as organizational readiness to adopt microservices, domain-driven design, and resiliency and scalability of microservices. The book further demonstrates the anti-patterns involved in re-platforming brownfield apps and designing distributed data architecture. You'll also focus on how to avoid communication and deployment pitfalls and understand cross-cutting concerns such as logging, monitoring, and security. Finally, you'll explore testing pitfalls and establish a framework to address isolation, autonomy, and standardization.By the end of this book, you'll have understood critical mistakes to avoid while building microservices and the right practices to adopt early in the product life cycle to ensure the success of a microservices initiative.What You Will Learn: Discover the responsibilities of different individuals involved in a microservices initiativeAvoid the common mistakes in architecting microservices for scalability and resiliencyUnderstand the importance of domain-driven design when developing microservicesIdentify the common pitfalls involved in migrating monolithic applications to microservicesExplore communication strategies, along with their potential drawbacks and alternativesDiscover the importance of adopting governance, security, and monitoringUnderstand the role of CI/CD and testingWho this book is for: This practical microservices book is for software architects, solution architects, and developers involved in designing microservices architecture and its development, who want to gain insights into avoiding pitfalls and drawbacks in distributed applications, and save time and money that might otherwise get wasted if microservices designs fail. Working knowledge of microservices is assumed to get the most out of this book.
Salesforce B2C Solution Architect’s Handbook
The ultimate handbook for new and seasoned Salesforce B2C Solution Architects who want to design seamless B2C solutions across the Salesforce Customer 360 ecosystem - including B2C Commerce, Service Cloud, and Marketing CloudKey Features: - Give your customers a frictionless experience by creating a unified view of all their interactions- Get your architectural design right the first time and avoid costly reworks- Prepare for the B2C Solution Architect exam and Salesforce certification with practical scenarios following Salesforce best practicesBook Description: There's a huge demand on the market for Salesforce professionals who can create a single view of the customer across the Salesforce Customer 360 platform and leverage data into actionable insights. With Salesforce B2C Solution Architect's Handbook, you'll gain a deeper understanding of the integration options and products that help you deliver value for organizations. While this book will help you prepare for the B2C Solution Architect exam, its true value lies in setting you up for success afterwards.The first few chapters will help you develop a solid understanding of the capabilities of each component in the Customer 360 ecosystem, their data models, and governance.As you progress, you'll explore the role of a B2C solution architect in planning critical requirements and implementation sequences to avoid costly reworks and unnecessary delays. You'll learn about the available options for integrating products with the Salesforce ecosystem and demonstrate best practices for data modeling across Salesforce products and beyond.Once you've mastered the core knowledge, you'll also learn about tools, techniques, and certification scenarios in preparation for the B2C Solution Architect exam.By the end of this book, you'll have the skills to design scalable, secure, and future-proof solutions supporting critical business demands.What You Will Learn: - Explore key Customer 360 products and their integration options- Choose the optimum integration architecture to unify data and experiences- Architect a single view of the customer to support service, marketing, and commerce- Plan for critical requirements, design decisions, and implementation sequences to avoid sub-optimal solutions- Integrate Customer 360 solutions into a single-source-of-truth solution such as a master data model- Support business needs that require functionality from more than one component by orchestrating data and user flowsWho this book is for: This book is for professionals in high-level job roles that heavily rely on Salesforce proficiency. It's primarily written for B2C commerce architects, application architects, integration architects, as well as system architects, enterprise architects, Salesforce architects, and CTO teams looking to benefit from a deeper understanding of this platform. Before you get started, you'll need a solid understanding of data integration, APIs, and connected systems, along with knowledge of the fundamentals of business-to-consumer (B2C) customer experiences.Table of Contents- Demystifying Salesforce, Customer 360, and Digital 360- Supporting Your Customers with Service Cloud- Direct-to-Consumer Selling with Commerce Cloud B2C- Engaging Customers with Marketing Cloud- Salesforce Ecosystem- Role of a Solution Architect- Integration Architecture Options- Creating a 360簞- Supporting Key Business Scenarios- Enterprise Integration Strategies- Exam Preparation Tools and Techniques- Prerequisite Certifications- Commerce and Integration- Certification Scenarios
Sublinear Computation Paradigm
This open access book gives an overview of cutting-edge work on a new paradigm called the "sublinear computation paradigm," which was proposed in the large multiyear academic research project "Foundations of Innovative Algorithms for Big Data." That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as "fast," but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required.The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book.The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms.
Agile Processes in Software Engineering and Extreme Programming - Workshops
This open access book constitutes papers from the 5 research workshops, the poster presentations, as well as two panel discussions which were presented at XP 2021, the 22nd International Conference on Agile Software Development, which was held online during June 14-18, 2021. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners.The 18 papers included in this volume were carefully reviewed and selected from overall 37 submissions. They stem from the following workshops: 3rd International Workshop on Agile Transformation9th International Workshop on Large-Scale Agile Development1st International Workshop on Agile Sustainability4th International Workshop on Software-Intensive Business2nd International Workshop on Agility with Microservices Programming
Circuits and Systems: Design and Applications (Volume II)
Circuits are the fundamentals of all electronic devices. For all those who're interested in circuits and systems, this book will provide comprehensive knowledge to the reader. Contemporary innovative concepts and case studies revolving around circuits and systems have been presented in this book. Insights on recent studies and research methodologies can also be found in this book.
Circuits and Systems: Design and Applications (Volume I)
Circuits are the fundamentals of all electronic devices. For all those who're interested in circuits and systems, this book will provide comprehensive knowledge to the reader. Contemporary innovative concepts and case studies revolving around circuits and systems have been presented in this book. Insights on recent studies and research methodologies can also be found in this book.
Circuits and Systems: Design and Applications (Volume III)
Circuits are the fundamentals of all electronic devices. For all those who're interested in circuits and systems, this book will provide comprehensive knowledge to the reader. Contemporary innovative concepts and case studies revolving around circuits and systems have been presented in this book. Insights on recent studies and research methodologies can also be found in this book.
Modern Software Engineering
The collection of instructions which tell a computer how to work is known as software. The branch of computer science which deals with the application of engineering to develop software in a systematic method is referred to as software engineering. It involves the designing and implementation of complex computer programs. It is also concerned with the maintenance of such computer programs. Software engineering is an umbrella field that has various sub-disciplines. The most common of them include software design, software development and software testing. This book attempts to understand the multiple branches that fall under the discipline of software engineering and how such concepts have practical applications. Most of the topics introduced in this book cover new techniques and the applications of this field. It will provide comprehensive knowledge to the readers.
Understanding Software Architecture
The creation of the fundamental structures of a software system is referred to as software architecture. The architecture of a software system functions as a blueprint for the system and the developing project. It details the tasks necessary to be executed during the designing. There are four core activities in software architecture design that are performed iteratively at different stages of the initial software development life cycle. These activities include architectural analysis, architectural synthesis, architectural evaluation and architectural evolution. Some common components of software architecture are software architecture description, architecture description languages, architecture viewpoints, architecture frameworks and software architecture erosion. This book contains some path-breaking studies in the field of software architecture. It traces the progress of this field and highlights some of its key concepts and applications. The extensive content of this textbook provides the readers with a thorough understanding of the subject.
Embedded Systems: High Performance Systems, Applied Principles and Practice
In today's time, embedded systems i.e. computer systems that are embedded in different types of devices play a crucial role in particular control functions and have led to the progress of different aspects of industry. Hence, we can hardly discuss our life, or even society, nowadays without referring to embedded systems. A number of high quality fundamental and applied researches are crucial to broaden the range of growth of these embedded systems. This book deals with research topics of various researchers and engineers across the world, which discuss embedded systems along with parallel computing, communication architecture, application-specific systems, and embedded systems projects. Various technologies have been illustrated in this book which will prove to be beneficiary for scientists around the globe.
Handbook of Software Engineering: Volume I
This book on software engineering explores all the important aspects of software development and software applications in the present day scenario. The compiled chapters discuss concepts of different software development processes, software maintenance, software development tools, software applications with a variety of examples from different areas of engineering and software programming concepts. Also, included in this book are concepts of software updates, using real life examples of softwares already in use.
Circuits and Systems: Design and Applications (Volume IV)
Circuits are the fundamentals of all electronic devices. For all those who're interested in circuits and systems, this book will provide comprehensive knowledge to the reader. Contemporary innovative concepts and case studies revolving around circuits and systems have been presented in this book. Insights on recent studies and research methodologies can also be found in this book.
Handbook of Software Engineering: Volume II
This book on software engineering explores all the important aspects of software development and software applications in the present day scenario. The compiled chapters discuss concepts of different software development processes, software maintenance, software development tools, software applications with a variety of examples from different areas of engineering and software programming concepts. Also, included in this book are concepts of software updates, using real life examples of softwares already in use.
Software Engineering: Design, Theory and Practice
Software Engineering refers to that branch of engineering which deals with developing, implementing, designing and maintaining of software. It has many sub-divisions like embedded software, software design, software configuration management, software durability, etc. This book will trace the progress made in this field and highlight some of the key concepts and applications related to it. It will provide detailed explanation of the various applications in this area. Different approaches, evaluations and methodologies have also been included. This book aims to present researches that have transformed this discipline and aided its progress. Those with an interest in software engineering will find this book helpful. It will serve as a valuable source of reference for students and researchers alike.
Software Engineering: Concepts, Analysis and Applications
Software engineering is the study of the conceptualization, design, development and maintenance of software. It covers sub-disciplines like software testing, configuration management, quality, etc. This book on software engineering deals with the analysis, specification and development of software. It presents some of the vital pieces of work being conducted across the world, on various topics related to software engineering. This book covers the theoretical and practical approaches of software engineering. Students, researchers, experts and all associated with this field will benefit alike from this book. For all readers who are interested in software engineering, the case studies included in this book will serve as excellent guide to develop a comprehensive understanding.
Statistical Language and Speech Processing
This book constitutes the proceedings of the 9th International Conference on Statistical Language and Speech Processing, SLSP 2021, held in Cardiff, UK, in November 2021.The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers present topics of either theoretical or applied interest discussing the employment of statistical models (including machine learning) within language and speech processing.
Intelligent Robotics and Applications
The 4-volume set LNAI 13013 - 13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021.The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.
Sublinear Computation Paradigm
This open access book gives an overview of cutting-edge work on a new paradigm called the "sublinear computation paradigm," which was proposed in the large multiyear academic research project "Foundations of Innovative Algorithms for Big Data." That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop novel methods and approaches for big data analysis. To meet this need, innovative changes in algorithm theory for big data are being pursued. For example, polynomial-time algorithms have thus far been regarded as "fast," but if a quadratic-time algorithm is applied to a petabyte-scale or larger big data set, problems are encountered in terms of computational resources or running time. To deal with this critical computational and algorithmic bottleneck, linear, sublinear, and constant time algorithms are required.The sublinear computation paradigm is proposed here in order to support innovation in the big data era. A foundation of innovative algorithms has been created by developing computational procedures, data structures, and modelling techniques for big data. The project is organized into three teams that focus on sublinear algorithms, sublinear data structures, and sublinear modelling. The work has provided high-level academic research results of strong computational and algorithmic interest, which are presented in this book.The book consists of five parts: Part I, which consists of a single chapter on the concept of the sublinear computation paradigm; Parts II, III, and IV review results on sublinear algorithms, sublinear data structures, and sublinear modelling, respectively; Part V presents application results. The information presented here will inspire the researchers who work in the field of modern algorithms.
Leveraging Applications of Formal Methods, Verification and Validation
This book constitutes contributions of the ISoLA 2021 associated events. Altogether, ISoLA 2021 comprises contributions from the proceedings originally foreseen for ISoLA 2020 collected in 4 volumes, LNCS 12476: Verification Principles, LNCS 12477: Engineering Principles, LNCS 12478: Applications, and LNCS 12479: Tools and Trends. The contributions included in this volume were organized in the following topical sections: 6th International School on Tool-Based Rigorous Engineering of Software Systems; Industrial Track; Programming: What is Next; Software Verification Tools; Rigorous Engineering of Collective Adaptive Systems.
Job Scheduling Strategies for Parallel Processing
This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2021, held as a virtual event in May 2021 (due to the Covid-19 pandemic).The 10 revised full papers presented were carefully reviewed and selected from 17 submissions. In addition to this, one keynote paper was included in the workshop. The volume contains two sections: Open Scheduling Problems and Proposals and Technical Papers. The papers cover such topics as parallel computing, distributed systems, workload modeling, performance optimization, and others.
A Guide to Illiac Programming
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
The Algorithm Design Manual
"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ... graph problems are -- they should be part of every working programmer's toolkit. The book also covers basic data structures and sorting algorithms, which is a nice bonus. ... every 1 - pager has a simple picture, making it easy to remember. This is a great way to learn how to identify hundreds of problem types." (Steve Yegge, Get that Job at Google)"Steven Skiena's Algorithm Design Manual retains its title as the best and most comprehensive practical algorithm guide to help identify and solve problems. ... Every programmer should read this book, and anyone working in the field should keep it close to hand. ... This is the best investment ... a programmer or aspiring programmer can make." (Harold Thimbleby, Times Higher Education)"It is wonderful to open to a random spot and discover aninteresting algorithm. This is the only textbook I felt compelled to bring with me out of my student days.... The color really adds a lot of energy to the new edition of the book!" (Cory Bart, University of Delaware)"The is the most approachable book on algorithms I have." (Megan Squire, Elon University)---This newly expanded and updated third edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker's Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography. NEW to the third edition: -- New and expanded coverage of randomized algorithms, hashing, divide and conquer, approximation algorithms, and quantum computing -- Provides full online support for lecturers, including an improved website component with lecture slides and videos -- Full color illustrations and code instantly clarify difficult concepts -- Includes several new "war stories" relating experiences from real-world applications -- Over 100 new problems, including programming-challenge problems from LeetCode and Hackerrank. -- Provides up-to-date links leading to the best implementations available in C, C++, and Java Additional Learning Tools: -- Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them -- Exercises include "job interview problems" from major software companies -- Highlighted "take home lessons" emphasize essential concepts -- The "no theorem-proof" style provides a uniquely accessible and intuitive approach to a challenging subject -- Many algorithms are presented with actual code (written in C) -- Provides comprehensive references to both survey articles and the primary literature Written by a well-known algorithms researcher who received the IEEE Computer Science and Engineering Teaching Award, this substantially enhanced third edition of The Algorithm Design Manual is an essential learning tool for students and professionals needed a solid grounding in algorithms. Professor Skiena is also the author of the popular Springer texts, The Data Science Design Manual and Programming Challenges: The Programming
Advances in Model and Data Engineering in the Digitalization Era
This book constitutes the thoroughly refereed papers of the workshops held at the 10th International Conference on New Trends in Model and Data Engineering, MEDI 2021, held in Tallinn, Estonia, in June 2021: Workshop on moDeling, vErification and Testing of dEpendable CriTical systems, DETECT 2021; Symposium on Intelligent and Autonomous Systems, SIAS 2021; Worjshop on Control Software: Methods, Models, and Languages, CSMML 2021; Blockchain for Inter-Organizational Collaboration, BIOC 2021; The International Health Data Workshop, HEDA 2021.The 20 full and the 4 short workshop papers presented were carefully reviewed and selected from 61 submissions. The papers are organized according to the workshops: Workshop on moDeling, vErification and Testing of dEpendable CriTical systems, DETECT 2021; Symposium on Intelligent and Autonomous Systems, SIAS 2021; Worjshop on Control Software: Methods, Models, and Languages, CSMML 2021; Blockchain for Inter-Organizational Collaboration, BIOC 2021; The International Health Data Workshop, HEDA 2021.
Computational Logistics
This book constitutes the refereed proceedings of the 12th International Conference on Computational Logistics, ICCL 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually.The 42 full papers were carefully reviewed and selected from 111 submissions. They detail the interface of complex logistics systems and advanced computational methods from the fields of operations research, business analytics, and artificial intelligence. The papers are organized in topical sections named maritime and port logistics; supply chain and production management; urban transport and collaborative logistics; routing, dispatching, and scheduling; air logistics and multi-modal transport.
Applied Computer Sciences in Engineering
This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medell穩n, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.
Search-Based Software Engineering
This book constitutes the proceedings of the 13th International Symposium on Search-Based Software Engineering, SSBSE 2021, which was held in Bari, Italy, during October 11-12, 2021. The 9 full and 2 short papers included in this volume were carefully reviewed and selected from 19 submissions. The papers deal with novel ideas and applications of search-based software engineering, focusing on engineering challenges and the application of automated approaches and optimization techniques from AI and machine learning research.
Design of Relational Database Benchmarks.
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface.We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Unconventional Computation and Natural Computation
This book constitutes the proceedings of the 19th International Conference on Unconventional Computation and Natural Computation, UCNC 2021, held in Espoo, Finland, in October 2021. The 12 full papers presented were carefully reviewed and selected from 19 submissions. The UCNC conference series covers fundamental research into computation that goes beyond the standard Turing model, including both computational models and methods inspired by nature, and the computational characteristics natural processes.
Time & Logic
Originally published in 1995 Time and Logic examines understanding and application of temporal logic, presented in computational terms. The emphasis in the book is on presenting a broad range of approaches to computational applications. The techniques used will also be applicable in many cases to formalisms beyond temporal logic alone, and it is hoped that adaptation to many different logics of program will be facilitated. Throughout, the authors have kept implementation-orientated solutions in mind. The book begins with an introduction to the basic ideas of temporal logic. Successive chapters examine particular aspects of the temporal theoretical computing domain, relating their applications to familiar areas of research, such as stochastic process theory, automata theory, established proof systems, model checking, relational logic and classical predicate logic. This is an essential addition to the library of all theoretical computer scientists. It is an authoritative work which will meet the needs both of those familiar with the field and newcomers to it.
Recent Advances in Integral Equations
Integral equations are functional equations in which an unknown function appears under an integral sign. This can involve aspects of function theory and their integral transforms when the unknown function appears with a functional non-degenerated kernel under the integral sign. The close relation between differential and integral equations does that in some functional analysis, and function theory problems may be formulated either way. This book establishes the fundamentals of integral equations and considers some deep research aspects on integral equations of first and second kind, operator theory applied to integral equations, methods to solve some nonlinear integral equations, and singular integral equations, among other things. This is the first volume on this theme, hoping that other volumes of this important functional analysis theme and operator theory to formal functional equations will be realized in the future.
Deep-Dive Terraform on Azure
Get started with the foundations of Infrastructure as Code and learn how Terraform can automate the deployment and management of resources on Azure. This book covers all of the software engineering practices related to Terraform and Infrastructure as Code with Azure as a cloud provider.The book starts with an introduction to Infrastructure as Code and covers basic concepts, principles, and tools, followed by an overview of Azure and Terraform that shows you how Terraform can be used to provision and manage Azure resources. You will get started writing multiple Terraform scripts and explore its various concepts. Author Ritesh Modi takes a deep dive into Terraform and teaches you about deployment and multiple resource creation using loops. Writing a reusable script using modules is discussed as well as management and administration of secrets, sensitive data, and passwords within Terraform code. You will learn to store and version Terraform scripts and know how Terraform is used in Azure DevOps pipelines. And you will write unit and integration tests for Terraform and learn its best practices. The book also highlights and walks through the Terraform Azure Provider and shows you a simple way to create a new Terraform provider.After reading this book, you will be able to write quality Terraform scripts that are secure by design, modular, and reusable in Azure. What Will You LearnUnderstand implementation within infrastructure and application deploymentsProvision resources in Azure using TerraformUse unit and integration testingExplore concepts such as local vs remote, importing state, workspaces, and backends Who This Book Is ForSoftware engineers, DevOps professionals, and technology architects
Foundational Java
Java is now well-established as one of the world's major programming languages, used in everything from desktop applications to web-hosted applications, enterprise systems and mobile devices. Java applications cover cloud-based services, the Internet of Things, self-driving cars, animation, game development, big data analysis and many more domains.The second edition of Foundational Java: Key Elements and Practical Programming presents a detailed guide to the core features of Java - and some more recent innovations - enabling the reader to build their skills and confidence though tried-and-trusted stages, supported by exercises that reinforce the key learning points. All the most useful and commonly applied Java syntax and libraries are introduced, along with many example programs that can provide the basis for more substantial applications. Use of the Eclipse Integrated Development Environment (IDE) and the JUnit testing framework is integral to the book, ensuring maximum productivity and code quality when learning Java, although to ensure that skills are not confined to one environment the fundamentals of the Java compiler and run time are also explained. Additionally, coverage of the Ant tool will equip the reader with the skills to automatically build, test and deploy applications independent of an IDE.Topics and features: - Presents the most up-to-date information on Java, including Java 14- Examines the key theme of unit testing, introducing the JUnit 5 testing framework to emphasize the importance of unit testing in modern software development- Describes the Eclipse IDE, the most popular open source Java IDE and explains how Java can be run from the command line- Includes coverage of the Ant build tool- Contains numerous code examples and exercises throughout- Provides downloadable source code, self-test questions, PowerPoint slides and other supplementary material at the website http: //www.foundjava.comThis hands-on, classroom-tested textbook/reference is ideal for undergraduate students on introductory and intermediate courses on programming with Java. Professional software developers will also find this an excellent self-study guide/refresher on the topic.Dr. David Parsons is National Postgraduate Director at The Mind Lab, Auckland, New Zealand. He has been teaching programming in both academia and industry since the 1980s and writing about it since the 1990s.
An Introduction to Design Science
This book is an introductory text on design science, intended to support both graduate students and researchers in structuring, undertaking and presenting design science work. It builds on established design science methods as well as recent work on presenting design science studies and ethical principles for design science, and also offers novel instruments for visualizing the results, both in the form of process diagrams and through a canvas format. While the book does not presume any prior knowledge of design science, it provides readers with a thorough understanding of the subject and enables them to delve into much deeper detail, thanks to extensive sections on further reading. Design science in information systems and technology aims to create novel artifacts in the form of models, methods, and systems that support people in developing, using and maintaining IT solutions. This work focuses on design science as applied to information systems and technology, but it alsoincludes examples from, and perspectives of, other fields of human practice. Chapter 1 provides an overview of design science and outlines its ties with empirical research. Chapter 2 discusses the various types and forms of knowledge that can be used and produced by design science research, while Chapter 3 presents a brief overview of common empirical research strategies and methods. Chapter 4 introduces a methodological framework for supporting researchers in doing design science research as well as in presenting their results. This framework includes five core activities, which are described in detail in Chapters 5 to 9. Chapter 10 discusses how to communicate design science results, while Chapter 11 compares the proposed methodological framework with methods for systems development and shows how they can be combined. Chapter 12 discusses how design science relates to research paradigms, in particular to positivism and interpretivism, and Chapter 13 discusses ethical issues and principles for design science research. The new Chapter 14 showcases a study on digital health consultations and illustrates the whole process in one comprehensive example. Also added to this 2nd edition are a number of sections on practical guidelines for carrying out basic design science tasks, a discussion on design thinking and its relationship to design science, and the description of artefact classifications. Eventually, both the references in each chapter and the companion web site were updated to reflect recent findings.
Software
Software history has a deep impact on current software designers, computer scientists, and technologists. System constraints imposed in the past and the designs that responded to them are often unknown or poorly understood by students and practitioners, yet modern software systems often include "old" software and "historical" programming techniques. This work looks at software history through specific software areas to develop student-consumable practices, design principles, lessons learned, and trends useful in current and future software design. It also exposes key areas that are widely used in modern software, yet infrequently taught in computing programs. Written as a textbook, this book uses specific cases from the past and present to explore the impact of software trends and techniques.Building on concepts from the history of science and technology, software history examines such areas as fundamentals, operating systems, programming languages, programming environments, networking, and databases. These topics are covered from their earliest beginnings to their modern variants. There are focused case studies on UNIX, APL, SAGE, GNU Emacs, Autoflow, internet protocols, System R, and others. Extensive problems and suggested projects enable readers to deeply delve into the history of software in areas that interest them most.
Essentials of Software Testing
Software testing can be regarded as an art, a craft, and a science. The practical, step-by-step approach presented in this book provides a bridge between these different viewpoints. A single worked example runs throughout, with consistent use of test automation. Each testing technique is introduced in the context of this example, helping students see its strengths and weaknesses. The technique is then explained in more detail, providing a deeper understanding of underlying principles. Finally the limitations of each technique are demonstrated by inserting faults, giving learners concrete examples of when each technique succeeds or fails in finding faults. Coverage includes black-box testing, white-box testing, random testing, unit testing, object-oriented testing, and application testing. The authors also emphasise the process of applying the techniques, covering the steps of analysis, test design, test implementation, and interpretation of results. The book's web site has programming exercises and Java source code for all examples.
Networking and Kubernetes
Kubernetes has become an essential part of the daily work for most system, network, and cluster administrators today. But to work effectively together on a production-scale Kubernetes system, they must be able to speak the same language. This book provides a clear guide to the layers of complexity and abstraction that come with running a Kubernetes network. Authors James Strong and Vallery Lancey bring you up to speed on the intricacies that Kubernetes has to offer for large container deployments. If you're to be effective in troubleshooting and maintaining a production cluster, you need to be well versed in the abstraction provided at each layer. This practical book shows you how. Learn the Kubernetes networking model Choose the best interface for your clusters from the CNCF Container Network Interface project Explore the networking and Linux primitives that power Kubernetes Quickly troubleshoot networking issues and prevent downtime Examine cloud networking and Kubernetes using the three major providers: Amazon Web Services, Google Cloud, and Microsoft Azure Learn the pros and cons of various network tools--and how to select the best ones for your stack
Agile Testing
This book is written by testers for testers. In ten chapters, the authors provide answers to key questions in agile projects. They deal with cultural change processes for agile testing, with questions regarding the approach and organization of software testing, with the use of methods, techniques and tools, especially test automation, and with the redefined role of the tester in agile projects. The first chapter describes the cultural change brought about by agile development. In the second chapter, which addresses agile process models such as Scrum and Kanban, the authors focus on the role of quality assurance in agile development projects. The third chapter deals with the agile test organization and the positioning of testing in an agile team. Chapter 4 discusses the question of whether an agile tester should be a generalist or a specialist. In Chapter 5, the authors turn to the methods and techniques of agile testing, emphasizing the differences from traditional, phase-oriented testing. In Chapter 6, they describe which documents testers still need to create in an agile project. Next, Chapter 7 explains the efficient use of test automation, which is particularly important in agile development, as it is the main instrument for project acceleration and is necessary to support state-of-the-art DevOps approaches and Continuous Integration. Chapter 8 then adds examples from test tool practice extending test automation to include test management functionality. Chapter 9 is dedicated to training and its importance, emphasizing the role of employee training in getting started with agile development. Finally, Chapter 10 summarizes the results of the agile journey in general with a special focus on testing. To make the aspects described even more tangible, the specific topics of this book are accompanied by the description of experiences from concrete software development projects of various organizations. The examples demonstrate that different approaches can lead to solutions that meet the specific challenges of agile projects.
Dependable Computing - EDCC 2021 Workshops
This book constitutes refereed proceedings of the Workshops of the 17th European Dependable Computing Conference, EDCC: ​Second Worskhop on Dynamic Risk Management for Autonomous Systems, DREAMS 2021, Third Workshop on Dependable Solutions for Intelligent Electricity Distribution Grids, DSOGRI 2021, 13th Workshop on Software Engineering for Resilient Systems, SERENE 2021, held in September 2021. Due to the COVID-19 pandemic the workshops were held virtually. The 14 workshop papers presented were thoroughly reviewed and selected from 22 submissions. The workshop papers complement the main conference topics by addressing dependability or security issues in specic application domains or by focussing in specialized topics, such as system resilience.
Object Oriented Data Analysis
Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research through new terminology for discussing the often many possible approaches to the analysis of complex data. Such data are naturally arising in a wide variety of areas. This book aims to provide ways of thinking that enable the making of sensible choices.The main points are illustrated with many real data examples, based on the authors' personal experiences, which have motivated the invention of a wide array of analytic methods.While the mathematics go far beyond the usual in statistics (including differential geometry and even topology), the book is aimed at accessibility by graduate students. There is deliberate focus on ideas over mathematical formulas.
Rust Servers, Services, and Apps
Deliver fast, reliable, and maintainable applications by building backend servers, services, and frontends all in nothing but Rust. In Rust Servers, Services, and Apps, you'll learn: Developing database-backed web services in Rust Building and securing RESTful APIs Writing server-side web applications in Rust Measuring and benchmarking web service performance Packaging and deploying web services Full-stack Rust applications The blazingly fast, safe, and efficient Rust language has been voted "most loved" for multiple consecutive years on the StackOverflow survey. Rust Server, Services, and Apps shows you why! Inside, you'll build web servers, RESTful services, server-rendered apps, and client frontends just using Rust. You'll learn to write code with small and predictable resource footprints, and build high-performing applications with unmatched safety and reliability. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build speedy, stable, and safe web servers in Rust! With a unique approach to memory management and concurrency, Rust excels at getting the low-level details right so your applications run fast and flawlessly. And Rust's incredible compiler helps you avoid expensive mistakes when you're deploying web services and other core components in production. About the book Rust Servers, Services, and Apps shows you how to create modern distributed web apps using the Rust language. You'll start with the basics: building a simple HTTP server and a RESTful web service. Then, you'll make them production ready by adding security, database interactivity, and error handling. Finally, you'll tackle a digital storefront service, create a single page app, and dig into asynchronous programming. All examples are fully illustrated and include annotated code you can easily adapt to your own projects. What's inside Craft resilient and secure RESTful APIs Package and deploy web services Refactor fearlessly thanks to Rust's guaranteed safety Slash costs with Rust's runtime and compile-time optimizations Asynchronous programming with Rust About the reader For web developers who know the basics of Rust. About the author Prabhu Eshwarla is the CTO of a startup building a layer-1 blockchain using Rust. Previously, he held engineering and leadership roles at Hewlett Packard. Table of Contents PART 1 - WEB SERVERS AND SERVICES 1 Why Rust for web applications? 2 Writing a basic web server from scratch 3 Building a RESTful web service 4 Performing database operations 5 Handling errors 6 Evolving the APIs and fearless refactoring PART 2 - ERVER-SIDE WEB APPLICATIONS 7 Introducing server-side web apps in Rust 8 Working with templates for tutor registration 9 Working with forms for course maintenance PART 3 - ADVANCED TOPIC: ASYNC RUST 10 Understanding async Rust 11 Building a P2P node with async Rust 12 Deploying web services with Docker
