Mathematics Success Mantra
"I aspire to be a good human teacher who possesses wisdom to teach my students, and show them that I genuinely care, and am concerned with their learning, a good human teacher who cannot be replaced by technology. As the old saying goes... "Give a man a fish, and you feed him for a day." I myself identify the despite of efforts, some students struggle to secure good results. I believe that the key to success lies in applying hard work correctly. The plethora of books which available today can often confuse students, . They putting them in a tough spot. Are these books truly beneficial? It's doubtful.After much consideration, I've decided to publish a book that caters to all types of students. I have intentionally focused on presenting fundamental ideas and equations. Mastering these basic concepts and principles will help students achieve top grades. However, in this competitive environment, securing good grades is crucial.Here are my recommendations for problem-solving: *Read the problem thoroughly;*Understand what is being asked of you;*Gather relevant concepts and formulae;*Apply them to the problem;*Draw diagrams when necessary.I believe that the fundamental ideas, rules, and equations are essential for solving most problems. This is why I introduced the book 'Mathematics Success Mantra.' I hope 'The Success Mantra' will be well-received and beneficial to all students.I dedicate this book to Sri J.R.L.V. Sharma, my math teacher, who has been a significant influence on my life. He transformed me from an average student into a successful math teacher, and Ravi Kumar kothapalli, the author of maths books.I have worked diligently to ensure this book is error-free. However, some printing errors may still be present. I would greatly appreciate it if you could inform me of any errors you find. We welcome constructive feedback and suggestions for improvement, which will be included in the next edition.-Ravi Kumar kothapalli
Differential Geometry of Curves and Surfaces
The book explains the reasons for various definitions. The interactive applets offer motivation for definitions, allowing students to explore examples, and give a visual explanation of complicated theorems. More elementary exercises are added and some challenging problems are moved later in exercise sets to assure more graduated progress.
An Introduction to Scientific Computing with MATLAB(R) and Python Tutorials
This textbook covers essential numerical techniques including basic methods for linear systems, root finding, interpolation, numerical integration and differentiation, least squares and Monte Carlo methods. This book balances the development, implementation, application and analysis of computational ideas and methods.
Applied Statistical Modelling for Ecologists
**2025 PROSE Award Finalist in Environmental Science** Applied Statistical Modelling for Ecologists provides a gentle introduction to the essential models of applied statistics: linear models, generalized linear models, mixed and hierarchical models. All models are fit with both a likelihood and a Bayesian approach, using several powerful software packages widely used in research publications: JAGS, NIMBLE, Stan, and TMB. In addition, the foundational method of maximum likelihood is explained in a manner that ecologists can really understand. This book is the successor of the widely used Introduction to WinBUGS for Ecologists (K矇ry, Academic Press, 2010). Like its parent, it is extremely effective for both classroom use and self-study, allowing students and researchers alike to quickly learn, understand, and carry out a very wide range of statistical modelling tasks. The examples in Applied Statistical Modelling for Ecologists come from ecology and the environmental sciences, but the underlying statistical models are very widely used by scientists across many disciplines. This book will be useful for anybody who needs to learn and quickly become proficient in statistical modelling, with either a likelihood or a Bayesian focus, and in the model-fitting engines covered, including the three latest packages NIMBLE, Stan, and TMB.
Mining Complex Networks
This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study.
Partial Differential Equations
Designed for a one-semester course, this text provides a bridge between the standard PDE course for undergraduate students in science and engineering and the PDE course for graduate students in mathematics who are pursuing a research career in analysis.
Introduction to Advanced Engineering Mathematics and Simulation
Introduction to Advanced Engineering Mathematics and Simulation in MATLAB Applications Approach has been prepared for instructors, learners and researchers interested in Advanced Engineering Mathematics and Simulation. The resource has emphasis on practical problems formulation and solving in Engineering. Interest is specifically guiding on developing solutions using the mathematical formulas and codes in MATLAB.
Algebraic Topology
This book is ideal as an introduction to algebraic topology and applied algebraic topology featuring a streamlined approach including coverage of basic categorical notions, simplicial, cellular, and singular homology, persistent homology, cohomology groups, cup products, Poincare Duality, homotopy theory, and spectral sequences. The focus is on examples and computations, and there are many end of chapter exercises and extensive student projects.
Probability Theory and Statistics with Real World Applications
The idea of the book is to present a text that is useful for both students of quantitative sciences and practitioners who work with univariate or multivariate probabilistic models. Since the text should also be suitable for self-study, excessive formalism is avoided though mathematical rigor is retained. A deeper insight into the topics is provided by detailed examples and illustrations. The book covers the standard content of a course in probability and statistics. However, the second edition includes two new chapters about distribution theory and exploratory data analysis. The first-mentioned chapter certainly goes beyond the standard material. It is presented to reflect the growing practical importance of developing new distributions. The second new chapter studies intensively one- and bidimensional concepts like assymetry, kurtosis, correlation and determination coefficients. In particular, examples are intended to enable the reader to take a critical look at the appropriateness of the geometrically motivated concepts.
Normal 2-Coverings of the Finite Simple Groups and Their Generalizations
Artificial Intelligence and Deep Learning in Sensors and Applications
The aim of this reprint is to address increasingly complex human problems by utilizing various sensors to collect data, enabling the formulation of solutions through deep learning and artificial intelligence (AI). This trend creates a high demand for sensors while presenting new challenges in developing sensor devices and applications across various fields, such as healthcare, manufacturing, agriculture, transportation, construction, and environmental monitoring. For instance, in environmental monitoring, AI-integrated sensors rapidly analyze large datasets to identify real-time patterns and trends, enhancing weather forecasting accuracy by gathering data from multiple sources. In industrial settings, AI-enhanced sensors optimize manufacturing by monitoring equipment health, predicting failures, and proactively scheduling maintenance. This reprint compiles contributions on AI and sensor technology, sharing ideas, designs, applications, and deployment experiences across various fields, including smart manufacturing, construction, autonomous vehicles, traffic monitoring, object recognition, image classification, speech processing, and human behavior analysis.
Math Mammoth Grade 8-A Worktext, Canadian Version
Math Mammoth Grade 8-A Worktext, Canadian version is the student book for the first half of grade 8, and part of the Math Mammoth Grade 8 complete curriculum. The curriculum is essentially the same as the U.S. version of Math Mammoth Grade 8, only customized for the Canadian audience in these aspects: - The curriculum uses the metric measurement units. Since Canadians do use some imperial units (e.g. miles, pounds) in some contexts, the curriculum does infrequently use them.- The spelling conforms mostly to American English, taking into account a few key differences where Canadian English follows British English.- Numbers are formatted with a space as a thousands separator, and a point as a decimal separator.- Page (paper) size is Letter.The US version of the curriculum is aligned to the Common Core Standards, which means this curriculum may not be properly aligned to the eighth grade standards in your province. However, you can probably find material for any missing topics in neighbouring grades.This book starts with a study of exponent laws, using both numerical and algebraic expressions. The first chapter also covers scientific notation (both with large and small numbers), significant digits, and calculations with numbers given in scientific notations.In chapter 2, students learn about geometric transformations (translations, reflections, rotations, dilations), common angle relationships, and volume of prisms, cylinders, spheres, and cones. Next, in chapter 3, our focus is on linear equations.Students both review and learn more about solving linear equations, including equations whose solutions require the usage of the distributive property and equations where the variable is on both sides.Chapter 4 presents an introduction to functions. Students construct functions to model linear relationships, learn to use the rate of change and initial value of the function, and they describe functions qualitatively based on their graphs.FeaturesMath Mammoth focuses on conceptual understanding. It explains the "WHY", so students can understand the math, not just learn "HOW" to do it.The curriculum is mastery-oriented. This means it concentrates fairly long on a topic, delving into its various aspects. This promotes conceptual understanding, as opposed to spiral curricula that often tend to jump from topic to topic too much.It requires very little teacher preparation.The curriculum has no separate teacher's manual nor is it scripted. The introduction to each chapter has some notes for the teacher concerning the material in the chapter. All the instruction is written directly to the student in the worktext.After each chapter introduction, you will find a list of Internet links and resources (games, quizzes, animations, etc.) that can be used for fun, illustrations, and further practice.
Math Mammoth Grade 8-B Worktext, Canadian Version
Math Mammoth Grade 8-B Worktext, Canadian version is the student book for the second half of grade 8, and part of the Math Mammoth Grade 8 complete curriculum. The curriculum is essentially the same as the U.S. version of Math Mammoth Grade 8, only customized for the Canadian audience in these aspects: - The curriculum uses the metric measurement units. Since Canadians do use some imperial units (e.g. miles, pounds) in some contexts, the curriculum does infrequently use them.- The spelling conforms mostly to American English, taking into account a few key differences where Canadian English follows British English.- Numbers are formatted with a space as a thousands separator, and a point as a decimal separator.- Page (paper) size is Letter.The US version of the curriculum is aligned to the Common Core Standards, which means this curriculum may not be properly aligned to the eighth grade standards in your province. However, you can probably find material for any missing topics in neighbouring grades.The book starts with chapter 5, graphing linear equations. Students study slope, and graph and write linear equations in slope-intercept and standard forms. They also learn about parallel and perpendicular lines.In chapter 6, students delve into square roots, cube roots, and irrational numbers and solve equations involving square and cube roots. The rest of the chapter is spent studying the Pythagorean Theorem and its applications.Next, in chapter 7, we focus on systems of linear equations. Students learn the three basic techniques for solving these and also solve a variety of problems that are solved with a pair of linear equations. The last chapter covers statistical topics: scatter plots and two-way tables.FeaturesMath Mammoth focuses on conceptual understanding. It explains the "WHY", so students can understand the math, not just learn "HOW" to do it.The curriculum is mastery-oriented. This means it concentrates fairly long on a topic, delving into its various aspects. This promotes conceptual understanding, as opposed to spiral curricula that often tend to jump from topic to topic too much.It requires very little teacher preparation.: )The curriculum has no separate teacher's manual nor is it scripted. The introduction to each chapter has some notes for the teacher concerning the material in the chapter. All the instruction is written directly to the student in the worktext.Each chapter introduction also includes a list of Internet links and resources (games, quizzes, animations, etc.) that can be used for fun, illustrations, and further practice.
Mathematics for Business Decisions
Mathematics for Business Decisions has been prepared for the students who want to learn mathematics and mathematical calculations from elementary level to advance level successively. The more specialty of this book is that, all the definitions are described with easy way and relevant examples to develop the theoretical knowledge of the students and the mathematical calculations have been presented meticulously with step by step of every part so that any student can figure out independently at home effortlessly. Finally, by studying this book, students will be able to decide how to pricing the products and services after analyzing all the costs and then calculating the gross or net profit. Also they will able to calculate all the business taxes and the actual business profit after deduction of all the taxes and other deductions. In addition, the knowledge gathering from this book helps improving decision making about different aspects of business such as costs, raw materials, marketing, advertising, strategies for the short and long term etc. and analyzing unforeseen situations and making decisions in favour of the company.
Fundamentals of Fourier Analysis
This self-contained text introduces Euclidean Fourier Analysis to graduate students who have completed courses in Real Analysis and Complex Variables. It provides sufficient content for a two course sequence in Fourier Analysis or Harmonic Analysis at the graduate level. In true pedagogical spirit, each chapter presents a valuable selection of exercises with targeted hints that will assist the reader in the development of research skills. Proofs are presented with care and attention to detail. Examples are provided to enrich understanding and improve overall comprehension of the material. Carefully drawn illustrations build intuition in the proofs. Appendices contain background material for those that need to review key concepts. Compared with the author's other GTM volumes (Classical Fourier Analysis and Modern Fourier Analysis), this text offers a more classroom-friendly approach as it contains shorter sections, more refined proofs, and a wider range of exercises. Topics include the Fourier Transform, Multipliers, Singular Integrals, Littlewood-Paley Theory, BMO, Hardy Spaces, and Weighted Estimates, and can be easily covered within two semesters.
From Numbers to Knowledge
This book explores the transformative journey of data analysis, beginning with foundational concepts like data collection and cleaning, progressing through exploratory techniques such as descriptive statistics and data visualization, and culminating in advanced methodologies including inferential statistics, predictive modeling, and machine learning. It emphasizes the importance of data quality, effective analysis techniques, and the application of insights to drive informed decision-making across various domains. Through practical examples and case studies, it equips readers with the tools and knowledge to harness the power of data for meaningful impact and innovation.
Math Mammoth Grade 8 Tests and Cumulative Reviews, Canadian Version
Math Mammoth Grade 8 Tests & Cumulative Reviews (Canadian version) contains the chapter tests, end-of-year test and cumulative reviews for Math Mammoth Grade 8 complete curriculum (Canadian version).
Geographic Information, Geospatial Technologies and Spatial Data Science for Health
In this book, epidemiology and public health are integrated with spatial data science to examine health issues in dynamically changing environments. This is too broad a field to be covered in one book and so it has been necessary to be selective with the topics, methods and examples.
Modern Statistics with R
The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit.
Expertise Scilab
Embark on a comprehensive journey into the world of Scilab, a powerful open-source software for scientific computing and data visualization. This meticulously crafted guide will equip you with the essential knowledge and skills to harness Scilab's capabilities for a wide range of computational tasks. This book is primarily intended for graduate, and postgraduate students especially scholars working in any domain of computation techniques. In the author's opinion, the finest software package for solving engineering problems is MATLAB, which is capable of conducting advanced mathematical and engineering computations whose versatility has transformed the personal computer industry. This book is intended to teach the student/reader how to use MATLAB through the use of practical examples. MATLAB is a software package that needs to be purchased for use. This is one of the reasons why Scilab exists. Scilab is currently being developed for programmers who wish to totally migrate their work to an open-source platform but are willing to amend their MATLAB files if necessary. This document contains Scilab commands, functions, and statements that are executable. The author makes no claim to content or style originality but has taken care to present the material clearly and sequentially with detailed discussion.
The Little Book of Math Into English
This colorful and concise little book is uniquely tailored for those who write mathematical texts at any level and are eager to improve their English writing skills. The easy-to-read guide focuses on helping the writer avoid common English mistakes in mathematical writing. With just a few minutes of engaging, light reading each day, the reader will learn to create clearer, more readable, math texts. The book covers 23 crucial topics, ranging from correct article and preposition usage to proper usage of dashes, conjunctions, and prepositions. It also addresses the construction of direct sentences, effective introductory phrases for formulas, and more. As a bonus to the reader, 'Practice makes perfect' exercises relating to each topic are freely accessible on this book's Springer website. Appendix A gives a quick tutorial on grammatical terms and constructs. Appendix B looks at ChatGPT and the positive aspects of its powerful capabilities. Additionally, Paul Halmos's article on 'How to write mathematics' is included in Appendix C. It deals with the mathematical aspects of writing.
Observability and Mathematics
The author approaches an old classic problem - the existence of solutions of Navier-Stokes eqs. The main objective is to model and derive of equation of continuity, Euler equation of fluid motion, energy flux equation, Navier-Stokes eqs from the observer point of view and solve classic problem for this interpretation of fluid motion laws.
Class Field Theory and L Functions
Through a set of related yet distinct texts, the author offers a thorough presentation of the classical theory of algebraic numbers and algebraic functions: Ideal- and valuation-theoretic aspects, L functions and class field theory, with a presentation of algebraic foundations which are usually undersized in standard algebra courses.
Real Analysis and Foundations
This new edition continues the effort to make the book accessible to a broader audience. Many students who take a real analysis course do not have the ideal background. The new edition offers chapters on background material like set theory, logic, and methods of proof. The more advanced material in the book is made more apparent.
Multiplicative Differential Geometry
The author introduces the main conceptions for multiplicative surfaces: multiplicative first fundamental form, the main multiplicative rules for differentiations on multiplicative surfaces, and the main multiplicative regularity conditions for multiplicative surfaces. Many examples and problems are included.
Modeling Change and Uncertainty
This book offers a problem-solving approach. The authors introduce a problem to help motivate the learning of a particular mathematical modeling topic. The problem provides the issue or what is needed to solve using an appropriate modeling technique.
Numerical Analysis and Scientific Computation
This is an introductory single-term numerical analysis text with a modern scientific computing flavor. It offers an immediate immersion in numerical methods featuring an up-to-date approach to computational matrix algebra and methods used in actual software packages, highlighting how hardware concerns can impact the choice of algorithm.
The Lambert W Function
This book is the very first one in the English language dedicated to the Lambert W function, its generalizations, and its applications. One goal is to promote future research on the topic. The book contains all the information one needs when trying to find a result. The most important formulas and results are framed
Multiplicative Differential Calculus
This book is devoted to the multiplicative differential calculus. It summarizes the most recent contributions in this area. The book is intended for senior undergraduate students and beginning graduate students of engineering and science courses.
Optimization Modelling Using R
This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R.
Parallel Problem Solving from Nature - Ppsn XVIII
This multi-volume LNCS set, LNCS 15148-15151, constitutes the refereed proceedings of the 18th International Conference on Parallel Problem Solving from Nature, PPSN 2024, held in Hagenberg, Austria, in September 2024. The 101 full papers presented in these proceedings were carefully reviewed and selected from 294 submissions. The papers presented in these four volumes are organized in the following topical sections: Part I: Combinatorial Optimization; Genetic Programming; Fitness Landscape Modeling and Analysis. Part II: Benchmarking and Performance Measures; Automated Algorithm Selection and Configuration; Numerical Optimization; Bayesian- and Surrogate-Assisted Optimization. Part III: Theoretical Aspects of Nature-Inspired Optimization; (Evolutionary) Machine Learning and Neuroevolution; Evolvable Hardware and Evolutionary Robotics. Part IV: Multi-Objective Optimization; Real-World Applications.
Parallel Problem Solving from Nature - Ppsn XVIII
This multi-volume LNCS set, LNCS 15148-15151, constitutes the refereed proceedings of the 18th International Conference on Parallel Problem Solving from Nature, PPSN 2024, held in Hagenberg, Austria, in September 2024. The 101 full papers presented in these proceedings were carefully reviewed and selected from 294 submissions. The papers presented in these four volumes are organized in the following topical sections: Part I: Combinatorial Optimization; Genetic Programming; Fitness Landscape Modeling and Analysis. Part II: Benchmarking and Performance Measures; Automated Algorithm Selection and Configuration; Numerical Optimization; Bayesian- and Surrogate-Assisted Optimization. Part III: Theoretical Aspects of Nature-Inspired Optimization; (Evolutionary) Machine Learning and Neuroevolution; Evolvable Hardware and Evolutionary Robotics. Part IV: Multi-Objective Optimization; Real-World Applications.
Promoting Statistical Practice and Collaboration in Developing Countries
The book addresses the topics of individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries.
Computational Framework for the Finite Element Method in MATLAB(R) and Python
This book aims to provide a programming framework for coding linear FEM using matrix-based MATLAB language and Python scripting language. It describes FEM algorithm implementation in the most generic formulation so that it is possible to apply this algorithm to as many application problems as possible.
Bayesian Applications in Environmental and Ecological Studies with R and Stan
The book is primarily aimed at graduate students and researchers in the environmental and ecological sciences, as well as environmental management professionals. This is a group of people representing diverse subject matter fields, which could benefit from the potential power and flexibility of Bayesian methods.
Real-World Evidence in a Patient-Centric Digital Era
This book will be a vital reference for medical researchers, health technology innovators, data scientists, epidemiologists, population health analysts, health economists, outcomes researchers, as well as policymakers and analysts in the healthcare industry.
Medical Statistics for Cancer Studies
This textbook shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It provides detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics.
Parallel Problem Solving from Nature - Ppsn XVIII
This multi-volume LNCS set, LNCS 15148-15151, constitutes the refereed proceedings of the 18th International Conference on Parallel Problem Solving from Nature, PPSN 2024, held in Hagenberg, Austria, in September 2024. The 101 full papers presented in these proceedings were carefully reviewed and selected from 294 submissions. The papers presented in these four volumes are organized in the following topical sections: Part I: Combinatorial Optimization; Genetic Programming; Fitness Landscape Modeling and Analysis. Part II: Benchmarking and Performance Measures; Automated Algorithm Selection and Configuration; Numerical Optimization; Bayesian- and Surrogate-Assisted Optimization. Part III: Theoretical Aspects of Nature-Inspired Optimization; (Evolutionary) Machine Learning and Neuroevolution; Evolvable Hardware and Evolutionary Robotics. Part IV: Multi-Objective Optimization; Real-World Applications.
Parallel Problem Solving from Nature - Ppsn XVIII
This multi-volume LNCS set, LNCS 15148-15151, constitutes the refereed proceedings of the 18th International Conference on Parallel Problem Solving from Nature, PPSN 2024, held in Hagenberg, Austria, in September 2024. The 101 full papers presented in these proceedings were carefully reviewed and selected from 294 submissions. The papers presented in these four volumes are organized in the following topical sections: Part I: Combinatorial Optimization; Genetic Programming; Fitness Landscape Modeling and Analysis. Part II: Benchmarking and Performance Measures; Automated Algorithm Selection and Configuration; Numerical Optimization; Bayesian- and Surrogate-Assisted Optimization. Part III: Theoretical Aspects of Nature-Inspired Optimization; (Evolutionary) Machine Learning and Neuroevolution; Evolvable Hardware and Evolutionary Robotics. Part IV: Multi-Objective Optimization; Real-World Applications.
Boundary Value Problems on Time Scales, Volume II
This book is devoted to the qualitative theory of boundary value problems on time scales. It summarizes the most recent contributions in this area.
Handbook of Fractional Calculus for Engineering and Science
The book includes contributions by top researchers offering topics associated with equations and their relevance and significance in various scientific areas of study and research. The readers will find several important and useful methods and techniques for solving various types of fractional-order models in engineering and science.
Random Eigenvalue Problems
No detailed description available for "Random Eigenvalue Problems".
Ergodic Theory and Related Topics
No detailed description available for "Ergodic Theory and Related Topics".
Numerical Analysis of Selected Semilinear Differential Equations
No detailed description available for "Numerical Analysis of Selected Semilinear Differential Equations".
Analytic Perturbation Theory for Matrices and Operators
No detailed description available for "Analytic Perturbation Theory for Matrices and Operators".
A New Class of Singular Integral Equations and Its Application to Differential Equations with Singular Coefficients
No detailed description available for "A New Class of Singular Integral Equations and Its Application to Differential Equations with Singular Coefficients".
The Art and Science of Data Analysis
The Art and Science of Data Analysis provides a thorough guide to the essential principles and techniques of data analysis. It covers key topics such as ensuring data quality, performing exploratory data analysis, understanding statistical foundations, and applying advanced analytical methods like machine learning, clustering, classification, and time series forecasting. The book emphasizes practical applications and hands-on exercises, highlighting the importance of ethical considerations and continuous learning. It aims to equip readers with the knowledge and skills needed for effective data-driven decision-making and innovation in various fields.
