Data Structures and Algorithms In Graphics and Geometry
Data Structures and Algorithms in Graphics and Geometry provides a comprehensive exploration of the intersection between computer graphics, computational geometry, and algorithm design. This book delves into the fundamental data structures and algorithms essential for solving complex problems in graphics and geometry-related applications. From representing geometric objects and spatial data to performing geometric computations and rendering techniques, readers are equipped with the knowledge and tools needed to tackle challenges in areas such as computer-aided design, computer graphics, robotics, and geographic information systems (GIS). Through theoretical foundations, practical implementations, and algorithmic analysis, the book offers insights into optimizing performance and efficiency in graphics and geometry algorithms. Whether you're a computer scientist, software engineer, or researcher in the field of computer graphics and computational geometry, this book serves as an invaluable resource for understanding and applying data structures and algorithms in diverse graphical and geometric contexts.
?tale Cohomology
An authoritative introduction to the essential features of 矇tale cohomology A. Grothendieck's work on algebraic geometry is one of the most important mathematical achievements of the twentieth century. In the early 1960s, he and M. Artin introduced 矇tale cohomology to extend the methods of sheaf-theoretic cohomology from complex varieties to more general schemes. This work found many applications, not only in algebraic geometry but also in several different branches of number theory and in the representation theory of finite and p-adic groups. In this classic book, James Milne provides an invaluable introduction to 矇tale cohomology, covering the essential features of the theory. Milne begins with a review of the basic properties of flat and 矇tale morphisms and the algebraic fundamental group. He then turns to the basic theory of 矇tale sheaves and elementary 矇tale cohomology, followed by an application of the cohomology to the study of the Brauer group. After a detailed analysis of the cohomology of curves and surfaces, Milne proves the fundamental theorems in 矇tale cohomology--those of base change, purity, Poincar矇 duality, and the Lefschetz trace formula--and applies these theorems to show the rationality of some very general L-series.
Singular Ordinary Differential Operators and Pseudodifferential Equations
No detailed description available for "Singular Ordinary Differential Operators and Pseudodifferential Equations".
Convergence Structures 1984
No detailed description available for "Convergence Structures 1984".
Convergence Structures and Applications to Analysis
No detailed description available for "Convergence Structures and Applications to Analysis".
Mathematics for Engineers
This book offers a comprehensive treatment of the core mathematical topics required for a modern engineering degree. The book begins with an introduction to the basics of mathematical reasoning and builds up the level of complexity as it progresses.
Depth-bounded Reasoning. Classical Propositional Logic
The "cost of reasoning", i.e., the cognitive or computational effort required by non-ideal, resource-bounded (human or artificial) agents in order to perform non-trivial inferences, is a crucial issue in philosophy, AI, economics and cognitive (neuro)science. Accounting for this fundamental variable in modelling real-world reasoning and decision-making is one of the most important and difficult challenges in the theory of rationality. With this volume, we are launching a series that, under the general title of "Logic and Bounded Rationality", aims to create a community of researchers from several areas that wish to cooperate towards a systematic logical view of bounded rationality.However, a key stumbling block for any effort in this direction, is that a basic component of many reasoning and decision making tasks, namely deductive reasoning in propositional logic, is computationally hard. Hence, in this first volume of the series we offer a novel view of classical propositional logic. We present an "informational semantics" for the classical operators whose proof-theoretical presentation is a system of classical natural deduction that, unlike Gentzen's and Prawitz's systems, yields a simple way of measuring the "depth" of an inference. This approach leads to defining, in a natural way, a sequence of tractable depth-bounded deduction systems. As recent applications in formal argumentation and non-monotonic reasoning suggest, our approach provides a plausible model for representing rational agents with increasing, albeit limited, computational resources.
Introduction to the Theory and Structures of Modules
The concepts of module or quotient module have similar perspectives of motivations with the definition of a factor or a quotient ring. The additive abelian structure is induced by the additive structure on it. The projective modules are duals of the injective modules. Every free module is projective. This is another way of saying that the projective modules are generalizations of the free modules. Further, any projective module is a direct summand of a free module. Thus, the injective modules generally possess the property that every R - module is a submodule of an injective module. The major role of the infinite cyclic group is taken over by the additive group of R. This happens in a group with R as the operator ring. Suppose that R is considered as a right R - module, selection can be made as generator, the unit element of R or any divisor of the unit element. The direct sum of an arbitrary set of such groups will usually be called a free R - module.
Wyoming Test of Proficiency and Progress (WY-TOPP) Test Prep
Improve 2024-25 WY-TOPP Test ScoresPractice workbooks to confidently prepare and excel in the 2025 Wyoming Grade 4 Math Assessments!This 4th Grade WY-TOPP Math Workbook is designed by expert teachers to boost your child's test scores by 10-15 points. Featuring hundreds of practice questions fully aligned with Wyoming Grade 4 Math learning standards, realistic online practice tests, and personalized learning paths, this workbook is tailored to your child's test prep needs!Unmatched Features: Instant Auto-Grading for Faster LearningLumos Learning is the only test prep resource that offers Instant auto-grading with virtual bubble sheets where your child receives immediate feedback, helping them identify areas for improvement and boosting their learning efficiency. Our comprehensive practice tests and workbooks are closely aligned with Wyoming state standards providing targeted preparation to help your child achieve higher scores on the 2025 Wyoming test.What's on the 2024-25 WY-TOPP Grade 4 Math Workbook?Introducing Lumos AI Tutor: While completing practice tasks, your child receives personalized, guided support with step-by-step explanations, helpful hints, and tailored feedback-just like having a teacher at home! Try it today with your workbook.Comprehensive WY-TOPP Prep with 4th Grade Math Practice QuestionsExpert-Designed WY-TOPP Practice: Hundreds of carefully crafted questions aligned with the WY-TOPP test, available in both print and digital formats, covering every essential Math concept.Comprehensive Coverage: The workbook addresses 30+ math skills, including Operations and Algebraic Thinking, Number & Operations in Base Ten, Number & Operations - Fractions, Measurement & Data and Geometry.Realistic Practice Tests: Prepare your child with two full-length practice tests that mirror the exact format and difficulty level of the WY-TOPP exam, helping them feel confident and ready for test day.
Arduino-Programmed Catapult for Oblique Launch Study
This work aims to build an Arduino-controlled catapult that can launch objects at different angles and distances, as well as providing a practical environment for studying oblique launching. A didactic sequence consisting of 18 hours of lessons is presented, with an innovative proposal for teaching mathematics and physics in high school: the use of programming and robotics concepts to study oblique launching. The step-by-step construction of a specific catapult model without programming or automation is presented. Basic concepts of electronics and programming are covered through interactive simulations of three platforms: PheT Interactive Simulations, TinkeraCad and the Arduino integrated development environment. It also describes a roadmap for programming and automation. The proposal aims to introduce the concept of oblique launching in a practical and fun way. During the course of the lessons, launches are made, data is collected such as launch angle and distance reached by the projectile, and the results obtained are analyzed.
Advances in Cubic Picture Fuzzy Soft Matrices
Advances in Picture Fuzzy Soft Matrices: Theories and Applications provides an in-depth exploration of the mathematical framework and practical applications of picture fuzzy soft matrices. The book discusses the different types of picture fuzzy matrices, focusing on their properties, operations, and relevance in multi-criteria decision-making (MCDM) problems. It elaborates on various types of picture fuzzy soft matrices, including bi-matrices, cubic matrices, and their internal and external forms, while offering theoretical insights into their determinants, adjoints, and correlation coefficients. The work also highlights the importance of picture fuzzy matrices in solving complex decision-making problems by offering novel techniques for handling uncertainty and vagueness in data. The book is structured to present both foundational theories and real-world applications, making it a valuable resource for researchers, scholars, and practitioners in fuzzy logic, decision analysis, and computational intelligence.
Mathematical Meditations
The Meditations in this book are the product of thousands of years of mathematical discourse. As you read through the book and work through the various exercises, you will discover new mechanisms that allow you to contemplate and understand some complex mathematical principles.
Effect of suction/injection on unsteady mhd natural convection flow
This research paper explores the effect of suction/injection on unsteady MHD natural convection flow of heat mass transfer in porous channel in the presence of Soret term. The governing partial differential equations are converted to non- dimensional forms and solved numerically by using unconditionally stable and convergent implicit finite difference method. A parametric study illustrating the influence of various physical parameters is performed. It is reported that the velocity profile increases as Soret term, Grashof number, Solutal Grashof number and Porous parameters values increase, while Magnetic field parameter decreases the velocity profile. The temperature profile rises by the influence in increasing values of Variable Thermal Conductivity and decreases by increasing values of Prandtl number and Radiation parameters. While concentration profile increase by the increasing values of Soret term and Chemical reaction. The dependence of the skin friction coefficient, rate of heat transfer and mass transfer on these parameters has been discussed.
Generalized Fixed Point Theorems with Their Applications
In this presented book contains six chapters that areIntroduction, Review of Literature, Random Fixed point theorems and application in Sb metric spaces, Perov Type Results in Gauge Spaces and its Applications to Systems of Integral Equations, Hyers Ulam Stability And Solutions For A Class Of Nonlinear Integral Equations By Fixed Point Technique, Fixed point theorems for the sum of three classes of mixed monotone operators and applications, Tripled Common fixed point results in ordered S-metric spaces. We prove some random fixed point theorems and apply our obtained results to show existence of a unique solution to an initial value problem as an application. We also prove a tripled coincidence and common fixed point theorems for commuting mappings with mixed g-monotone property in partially ordered S-metric spaces. Our obtained results are applied for solving nonlinear fractional differential equations with integral boundary conditions, and also, we give some specific examples.
Analyse the Impact of Magnetic Field and Temperature on Fluid Flow
This book explores the intricate interplay between magnetic fields, temperature variations, and fluid dynamics, providing a comprehensive analysis of their combined effects on fluid flow behavior. It delves into the theoretical foundations and practical applications, emphasizing the significance of magneto hydrodynamics (MHD) in engineering, physics, and environmental sciences. Through detailed mathematical models, experimental studies, and simulations, the book highlights the influence of magnetic fields on flow patterns, heat transfer, and stability, along with the role of temperature gradients. The work offers valuable insights for researchers and professionals seeking to optimize fluid systems in areas like energy generation, aerospace, and medical technologies.
Score Easy Innovative Mathematics Class-X
Score Easy Innovative Mathematics is your trusted companion for mastering Class X mathematics with ease and confidence. Tailored to meet the needs of today's leamers, this textbook blends fraditional teaching methods with modern, innovative approaches to simplify complex concepts and enhance problem-solving skills.
Multiplication in different logical view
Multiplication process is discussed differently here in the book. This logical view is different from previous and this method describes the multiplication process perfectly. The various types of multiplication is discussed here which is different than our previous knowledge and my logical view on multiplication gives the proper view of product rule of two numbers as well as two different things. Field system is discussed here which is different than our own field system of higher mathematics. Multiplication process perfectly described here with other operation and anyone who knows multiplication can read and think about my logical method. It is a new point of view for multiplication rule and it will help us to understand the view of multiplication process. Reader may read my research paper published in "International Journal of Scientific & Engineering Research" where I also wrote the method and in my book I have discussed the method perfectly to establish a new process of multiplication which is logically perfect than before.
Big Sudoku - the big Sudoku book
Big Sudoku Levels 1-5 is a collection of Sudoku puzzles specifically designed to challenge and entertain both novice and advanced players. This book contains Sudoku puzzles at a range of difficulty levels, ranging from Level 1, which is suitable for beginners, to Level 5, which offers challenging puzzles for experienced thinkers. The levels increase in complexity, with the early levels helping players to become familiar with the basics of the game before moving on to more challenging patterns and strategies. The goal of each Sudoku puzzle is to place the numbers 1 to 9 in a 9x9 grid so that each number appears only once in each row, column, and each of the nine 3x3 sub-squares. These challenges promote logical thinking, patience, and problem-solving skills, providing hours of entertainment for all ages and abilities. The book is ideal for anyone looking to improve their logical thinking or just enjoy solving puzzles.
Geometric Modeling
This book provides the fundamental knowledge and tools necessary to understand the principles and techniques in the field of geometric modeling and is an essential textbook for undergraduate and graduate students. It includes a detailed exploration of key modeling techniques, from wireframe modeling to complex fractal modeling, highlighting their various applications in different fields and industries. In this book, the basic representation of geometric 3D objects with wireframes as the backbone of more complex models is explored. The details of surface modeling with techniques such as NURBS and subdivision surfaces are discussed. Concepts of constructive solid geometry (CSG) and boundary representation (B-rep) are explained and methods of representing 3D objects with volume are presented. The beauty of fractals and their ability to simulate natural phenomena, produce complex patterns and create stunning visual designs are explained. And finally, the basic and attractive concepts of rendering and visualization have been discussed.
Challenging mathematics
This comprehensive text delves into the intricate world of higher mathematics, offering a rigorous exploration of advanced concepts crucial for today's aspiring mathematicians and scientists. From abstract algebra to complex analysis, the book covers a wide spectrum of topics, providing readers with a solid foundation for further academic pursuits and real-world problem-solving. Written for upper-level undergraduate and graduate students, this volume stands out for its clear explanations of challenging theories and its emphasis on practical applications. The authors expertly balance theoretical depth with insightful examples, making abstract ideas accessible without sacrificing mathematical rigor.By mastering the contents of this book, readers will not only enhance their mathematical prowess but also develop critical thinking skills essential for tackling complex problems in various scientific and technological fields.Whether you're aiming for a career in pure mathematics, physics, engineering, or data science, this text is an indispensable resource for pushing the boundaries of your mathematical understanding.
Mathematics for the Engineers I
Mathematics is the language of engineering and a compulsory subject in worldwide engineering education. So as engineering students, it is mandatory to study Mathematics and learn Mathematical calculations meticulously. In engineering, there are several branches such as computer engineering, electrical and electronic engineering, mechanical engineering, communication engineering and civil engineering and each branch has a different study set focused on the significance of Mathematics. Mathematics provides the analytical and problem-solving tools necessary for engineers to design, analyze and optimize systems, ensuring that they meet safety, efficiency and performance requirements. Without mathematics, engineers would struggle to design effective control systems, leading to inefficiencies and instability in processes. This book provides the easiest and comfortable techniques to the students to learn mathematical calculations effortlessly and independently at home. Moreover, the necessary formulas have been included here with the very beginning of this book so that students can get a complete idea of calculations without the help of other study materials.
Mathematics for the Engineers II
Mathematics is the language of engineering and a compulsory subject in worldwide engineering education. So as engineering students, it is mandatory to study Mathematics and learn Mathematical calculations meticulously. In engineering, there are several branches such as computer engineering, electrical and electronic engineering, mechanical engineering, communication engineering and civil engineering and each branch has a different study set focused on the significance of Mathematics. Mathematics provides the analytical and problem-solving tools necessary for engineers to design, analyze and optimize systems, ensuring that they meet safety, efficiency and performance requirements. Without mathematics, engineers would struggle to design effective control systems, leading to inefficiencies and instability in processes. This book provides the easiest and comfortable techniques to the students to learn mathematical calculations effortlessly and independently at home. Moreover, the necessary formulas have been included here with the very beginning of this book so that students can get a complete idea of calculations without the help of other study materials.
Is Math Real?
One of the world's most creative mathematicians offers a "brilliant" and "mesmerizing" (Popular Science) new way to look at math--focusing on questions, not answers Winner of the Los Angeles Times Book Prize and a New Scientist Best Book of the Year Where do we learn math: From rules in a textbook? From logic and deduction? Not really, according to mathematician Eugenia Cheng: we learn it from human curiosity--most importantly, from asking questions. This may come as a surprise to those who think that math is about finding the one right answer, or those who were told that the "dumb" question they asked just proved they were bad at math. But Cheng shows why people who ask questions like "Why does 1 + 1 = 2?" are at the very heart of the search for mathematical truth.   Is Math Real? is a much-needed repudiation of the rigid ways we're taught to do math, and a celebration of the true, curious spirit of the discipline. Written with intelligence and passion, Is Math Real? brings us math as we've never seen it before, revealing how profound insights can emerge from seemingly unlikely sources.   
The Cognitive Dimension of Social Argumentation Proceedings of the 4th European Conference on Argumentation Volume III
This is Volume III of the proceedings of the 4th European Conference on Argumentation, "The cognitive dimension of social argumentation", held at the University of Roma Tre in September 2022. The European Conference on Argumentation (ECA) is an international initiative aiming to consolidate and advance various strands of research on argumentation and reasoning by gathering scholars from a range of disciplines such as philosophy, communication, linguistics, computer science, cognitive science, discourse analysis, and more. The 2022 Rome edition focused on the sociocognitive factors that affect argumentation, both in terms of dynamics and outcomes. Taken together, the contributions collected in these three volumes of the ECA 2022 proceedings provide a faithful approximation of the breadth and depth of ongoing discussions in argumentation scholarship. They also attest how the markedly interdisciplinary character of this field has been evolving in recent years: whereas philosophy and linguistics were always partners in the study of argument, nowadays they are supported also by computer science and experimental psychology, as well as communication and media studies in a broader sense - all of which are well represented in this volume.
The Cognitive Dimension of Social Argumentation Proceedings of the 4th European Conference on Argumentation Volume II
This is Volume II of the proceedings of the 4th European Conference on Argumentation, "The cognitive dimension of social argumentation", held at the University of Roma Tre in September 2022. The European Conference on Argumentation (ECA) is an international initiative aiming to consolidate and advance various strands of research on argumentation and reasoning by gathering scholars from a range of disciplines such as philosophy, communication, linguistics, computer science, cognitive science, discourse analysis, and more. The 2022 Rome edition focused on the sociocognitive factors that affect argumentation, both in terms of dynamics and outcomes. Taken together, the contributions collected in these three volumes of the ECA 2022 proceedings provide a faithful approximation of the breadth and depth of ongoing discussions in argumentation scholarship. They also attest how the markedly interdisciplinary character of this field has been evolving in recent years: whereas philosophy and linguistics were always partners in the study of argument, nowadays they are supported also by computer science and experimental psychology, as well as communication and media studies in a broader sense - all of which are well represented in this volume.
Mathematics of Business
Businesses are always indispensable entity in any society. Money may be given to loaf without being useful to anyone. The major and the fundamental principles of any form of banking is that every idle money usually yields in most cases no increase. Thus, any individual who possesses certain amount of money than is needed for day to day activities as well as the necessities for living may not just put them away in safe places. Financial Mathematics plays a vital role in Economics and Commerce. Certain Economic terminologies with usual notations are necessary and imperative tools for any form of demonstrations of the applications of the financial Mathematics.
The Cognitive Dimension of Social Argumentation Proceedings of the 4th European Conference on Argumentation Volume I
This is Volume I of the proceedings of the 4th European Conference on Argumentation, "The cognitive dimension of social argumentation", held at the University of Roma Tre in September 2022. The European Conference on Argumentation (ECA) is an international initiative aiming to consolidate and advance various strands of research on argumentation and reasoning by gathering scholars from a range of disciplines such as philosophy, communication, linguistics, computer science, cognitive science, discourse analysis, and more. The 2022 Rome edition focused on the sociocognitive factors that affect argumentation, both in terms of dynamics and outcomes. Taken together, the contributions collected in these three volumes of the ECA 2022 proceedings provide a faithful approximation of the breadth and depth of ongoing discussions in argumentation scholarship. They also attest how the markedly interdisciplinary character of this fi eld has been evolving in recent years: whereas philosophy and linguistics were always partners in the study of argument, nowadays they are supported also by computer science and experimental psychology, as well as communication and media studies in a broader sense - all of which are well represented in this volume.
Advanced Fractal Graph Theory and Applications
This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications. It presents a strategic combination and the synergistic use of these disciplines to address real-world problems and challenges.
Fundamentals of Multivariable Calculus
This textbook is carefully designed as an early undergraduate introduction to the calculus of several real variables. The balanced coverage is devoted to limits, continuity, partial derivatives, extrema, the nabla operator, multiple integrals, line integrals, surface integrals, and the fundamental theorems of vector calculus.Engaging and accessible with detailed diagrams and copious worked examples, the presentation is well suited to students pursuing applied fields such as engineering. Multiple integration is motivated intuitively through the calculation of mass. The chapter-end problems provide both drill and challenge.Overall, the book should equip students with the knowledge and confidence needed for subsequent courses.An appendix on hints renders the book suitable for self-study. Prerequisites are limited to single-variable calculus, linear algebra, and analytic geometry.
Contributions to the Theory of Partitions and Their Applications
The theory of partitions, which studies the ways in which integers can be expressed as sums of other integers, has profound implications in various fields of mathematics. Significant contributions by mathematicians such as Euler and Hardy have paved the way for a deeper understanding of partition functions and their properties. Recent advancements have explored partitions in combinatorial contexts, offering insights into generating functions and generalized partition functions, including k-color overpartitions, Andrews' singular overpartitions, designated summands, l-regular cubic partition pairs, (l; m)-regular bipartition triples, and partition quadruples with t-cores.
Deep Learning Technology and Image Sensing
In this Special Issue, we explore the transformative power of deep learning-based computing technologies in improving the accuracy and reliability of image recognition systems. From advancing autonomous driving to enhancing object detection, deep learning continues to push the boundaries of what is achievable. Additionally, cutting-edge computer vision technologies enable precise medical imaging segmentation and improve image quality in challenging conditions, such as low-light environments and astronomical observations. Leading experts in the field present their latest research and innovations, offering a comprehensive view of the applications and future potential of deep learning in image and video sensing technologies. Together, we envision a future where artificial intelligence not only enhances our everyday devices but also redefines how we interact with technology and the world around us.
The Making, The Rise, And the Future of The Speaking Man - Fifth Edition
The making, rise, and future of the speaking man encapsulates not just the biological and cognitive evolution of Homo sapiens but also the dynamic relationship between culture, technology, and society. From the early developments of vocal communication to the creation of language-based civilizations and the potential of futuristic technologies, human speech is at the core of how we define ourselves as a species. Looking ahead, the speaking man will continue to evolve, shaped by forces both biological and technological, creating new possibilities for how we communicate and connect with each other-and with the world around us.
An Orthogonal Projection Algorithm for Solving Quadratic Program
This book deals with the construction of an orthogonal projection algorithm for solutions of quadratic programming problems. The algorithm starts by finding the unconstrained optimum using the classical theory of differentiation and then tests the solution for feasibility in the constrained problem. If the unconstrained optimum is infeasible in the constrained problem, then the algorithm makes a move to search for the optimum solution which in most situations is achievable in only one step. The work-ability of the algorithm is shown by applying it in solving several quadratic programming problems. The solutions obtained by using the Projection Algorithm are compared with those obtained by using OPTIMIZER software. The projection algorithm is found to give the same or better optimal solutions than the OPTIMIZER.
Geometry learning mediated by Cabri-G矇om癡tre software
This study is the result of research that culminated in our master's dissertation, which looked at the various phases of learning in the light of Guy Brousseau's theory of didactic situations. It was developed from a qualitative perspective, prioritizing the context of the relationships and interactions that took place in a learning environment, supported by dynamic geometry software, with the involvement of 37 students from a school in Curitiba. There were six sessions of observation of mathematics classes that dealt with the teaching of quadrilaterals. The analysis showed that the students who already had a command of the computer and did so with skill, had difficulties when dealing with the software. This suggests a "student-machine" paradox, that is, even though they have the skills to deal with the computer, the student is challenged with the minimum skills required to deal with the software. Faced with this situation, new didactic contracts emerge to replace the previous ones. The study shows that the didactic contracts established between student, teacher and knowledge, when broken, open up as an opportunity to take new paths towards full learning.
Machine Learning for Cybersecurity
"Machine Learning for Cybersecurity: Threat Detection and Mitigation" delves into the transformative role of machine learning in addressing contemporary cybersecurity challenges. This reprint provides an in-depth exploration of how advanced techniques such as deep learning, natural language processing, and explainable AI are revolutionizing intrusion detection, anomaly detection, and threat intelligence. With a focus on practical applications, it covers critical topics such as malware analysis, IoT and cloud security, blockchain security, adversarial attacks, and secure data sharing. Through this reprint, readers will gain insights into cutting-edge approaches for vulnerability assessments, authentication, and privacy preservation while exploring frameworks for implementing security-aware AI systems.This comprehensive resource is essential for researchers, practitioners, and policymakers striving to strengthen digital ecosystems. It offers both theoretical insights and actionable solutions, paving the way for innovative cybersecurity strategies to combat an ever-evolving threat landscape.
Mathematical Data Science with Applications in Business, Industry, and Medicine
Mathematical data science is a field that combines mathematical techniques with data science methods to extract insights and knowledge from data. It involves working with data at all stages of the data lifecycle, from collection and storage to cleansing and processing, the analysis and visualization of data, and the communication of the results and findings. Data scientists use a variety of tools and techniques to analyze data, including mathematical concepts and models, artificial intelligence techniques, machine learning algorithms, statistical analysis, and data visualization. Furthermore, data science can be used to make predictions, identify patterns, and draw conclusions from data, and it is applied in a variety of areas, including business, industry, and medicine. It is a rapidly evolving field, and data scientists are expected to stay up to date with new tools, techniques, and technologies. This Reprint is a collection of articles on a wide range of topics in the field of mathematical data science, with applications in business, industry, and medicine. The proposed methods and concepts are discussed in detail and illustrated with several real-life data examples.
Graph Theory
This standard textbook on modern graph theory combines the authority of a classic with the engaging freshness of style that is the hallmark of active mathematics. It covers the core material of the subject, with concise yet complete proofs, while offering glimpses of more advanced methods in each field via one or two deeper results. This is a major new edition. Among many other improvements, it offers additional tools for applying the regularity lemma, brings the tangle theory of graph minors up to the cutting edge of current research, and addresses new topics such as chi-boundedness in perfect graph theory. The book can be used as a reliable text for an introductory graduate course and is also suitable for self-study. From the reviews: "Deep, clear, wonderful. This is a serious book about the heart of graph theory. It has depth and integrity." Persi Diaconis & Ron Graham, SIAM Review "The book has received a very enthusiastic reception, which it amply deserves. A masterly elucidation of modern graph theory." Bulletin of the Institute of Combinatorics and its Applications "Succeeds dramatically ... a hell of a good book." MAA Reviews " ... like listening to someone explain mathematics." Bulletin of the AMS