Ordinary Differential Equations


Morris Tenenbaum - 1985
    Subsequent sections deal with integrating factors; dilution and accretion problems; linearization of first order systems; Laplace Transforms; Newton's Interpolation Formulas, more.

Mathematical Elements for Computer Graphics


David F. Rogers - 1976
    It presents in a unified manner an introduction to the mathematical theory underlying computer graphic applications. It covers topics of keen interest to students in engineering and computer science: transformations, projections, 2-D and 3-D curve definition schemes, and surface definitions. It also includes techniques, such as B-splines, which are incorporated as part of the software in advanced engineering workstations. A basic knowledge of vector and matrix algebra and calculus is required.

Elementary Differential Equations And Boundary Value Problems


William E. Boyce - 1996
    Clear explanations are detailed with many current examples.

Quantum Mechanics: Concepts and Applications


Nouredine Zettili - 2001
    It combines the essential elements of the theory with the practical applications. Containing many examples and problems with step-by-step solutions, this cleverly structured text assists the reader in mastering the machinery of quantum mechanics. * A comprehensive introduction to the subject * Includes over 65 solved examples integrated throughout the text * Includes over 154 fully solved multipart problems * Offers an indepth treatment of the practical mathematical tools of quantum mechanics * Accessible to teachers as well as students

Fundamentals of Biostatistics (with CD-ROM)


Bernard Rosner - 1982
    Fundamentals of Biostatistics with CD-Rom.

Bayes' Rule: A Tutorial Introduction to Bayesian Analysis


James V. Stone - 2013
    Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

An Introduction to Game Theory


Martin J. Osborne - 2003
    An Introduction to Game Theory, by Martin J. Osborne, presents the main principles of game theory and shows how they can be used to understand economic, social, political, and biological phenomena. The book introduces in an accessible manner the main ideas behind the theory rather than their mathematical expression. All concepts are defined precisely, and logical reasoning is used throughout. The book requires an understanding of basic mathematics but assumes no specific knowledge of economics, political science, or other social or behavioral sciences. Coverage includes the fundamental concepts of strategic games, extensive games with perfect information, and coalitional games; the more advanced subjects of Bayesian games and extensive games with imperfect information; and the topics of repeated games, bargaining theory, evolutionary equilibrium, rationalizability, and maxminimization. The book offers a wide variety of illustrations from the social and behavioral sciences and more than 280 exercises. Each topic features examples that highlight theoretical points and illustrations that demonstrate how the theory may be used. Explaining the key concepts of game theory as simply as possible while maintaining complete precision, An Introduction to Game Theory is ideal for undergraduate and introductory graduate courses in game theory.

Classical Mechanics


Herbert Goldstein - 1950
    KEY TOPICS: This classic book enables readers to make connections between classical and modern physics - an indispensable part of a physicist's education. In this new edition, Beams Medal winner Charles Poole and John Safko have updated the book to include the latest topics, applications, and notation, to reflect today's physics curriculum. They introduce readers to the increasingly important role that nonlinearities play in contemporary applications of classical mechanics. New numerical exercises help readers to develop skills in how to use computer techniques to solve problems in physics. Mathematical techniques are presented in detail so that the book remains fully accessible to readers who have not had an intermediate course in classical mechanics. MARKET: For college instructors and students.

Problems in Mathematics with Hints and Solutions


V. Govorov - 1996
    Theory has been provided in points between each chapter for clarifying relevant basic concepts. The book consist four parts algebra and trigonometry, fundamentals of analysis, geometry and vector algebra and the problems and questions set during oral examinations. Each chapter consist topic wise problems. Sample examples are provided after each text for understanding the topic well. The fourth part "oral examination problems and question" includes samples suggested by the higher schools for the help of students. Answers and hints are given at the end of the book for understanding the concept well. About the Book: Problems in Mathematics with Hints and Solutions Contents: Preface Part 1. Algebra, Trigonometry and Elementary Functions Problems on Integers. Criteria for Divisibility Real Number, Transformation of Algebraic Expressions Mathematical Induction. Elements of Combinatorics. BinomialTheorem Equations and Inequalities of the First and the SecondDegree Equations of Higher Degrees, Rational Inequalities Irrational Equations and Inequalities Systems of Equations and Inequalities The Domain of Definition and the Range of a Function Exponential and Logarithmic Equations and Inequalities Transformations of Trigonometric Expressions. InverseTrigonometric Functions Solutions of Trigonometric Equations, Inequalities and Systemsof Equations Progressions Solutions of Problems on Derivation of Equations Complex Numbers Part 2. Fundamentals of Mathematical Analysis Sequences and Their Limits. An Infinitely Decreasing GeometricProgression. Limits of Functions The Derivative. Investigating the Behaviors of Functions withthe Aid of the Derivative Graphs of Functions The Antiderivative. The Integral. The Area of a CurvilinearTrapezoid Part 3. Geometry and Vector Algebra Vector Algebra Plane Geometry. Problems on Proof Plane Geometry. Construction Problems Plane Geometry. C

Discrete Mathematical Structures with Applications to Computer Science


Jean-Paul Tremblay - 1975
    

Art in Theory, 1648–1815: An Anthology of Changing Ideas


Charles Harrison - 1991
    Like its highly successful companion volumes, Art in Theory, 1815–1900 and Art in Theory, 1900–1990, its primary aim is to provide students and teachers with the documentary material for informed and up-to-date study. Its 240 texts, clear principles of organization and considerable editorial content offer a vivid and indispensable introduction to the art of the early modern period.Harrison, Wood, and Gaiger have collected writing by artists, critics, philosophers, literary figures, and administrators of the arts, some reprinted in their entirety, others excerpted from longer works. A wealth of material from French, German, Italian, Spanish, Dutch, and Latin sources is also provided, including many new translations.Among the major themes treated are early arguments over the relative merits of ancient and modern art, debates between the advocates of form and color, the beginnings of modern art criticism in reviews of the Salon, art and politics during the French Revolution, the rise of landscape painting, and the artistic theories of Romanticism and Neo-classicism.Each section is prefaced by an essay that situates the ideas of the period in their historical context, while relating theoretical concerns and debates to developments in the practice of art. Each individual text is also accompanied by a short introduction. An extensive bibliography and full index are provided.

Elements of Information Theory


Thomas M. Cover - 1991
    Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated referencesNow current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

Reinforcement Learning: An Introduction


Richard S. Sutton - 1998
    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

Spirit Guide


Raym Richards - 2009
    The latest quantum physics discoveries are converging with ancient esoteric knowledge, held for centuries, by spiritual teachers and shaman in many cultures. Our consciousness affects everything around us.Spirit Guide explores many aspects of holistic beliefs and philosophies and our potential as human beings. It contains over fifty practical exercises that will help you experience our changing reality and assist with your own personal growth.Over 50,000 readers have enjoyed this book to date.Are you ready to boldly go where you haven’t been before? This book is for you!“Raym’s very comprehensive introduction to holistic thinking and living leaves no stone unturned. If you are just embarking on the journey of discovery for yourself, you will be lightly and often humorously guided in every facet. Contrasting the light style, some of the concepts covered are deep, but Raym at all times has your welfare uppermost in his approach. A master healer himself, he is there to guide you in deep meditative and healing experiences, and it may be that these are the real gems of this excellent primer of holism.”Elizabeth Stephens, Editor, LivingNow and Dare to Dream magazines“I really enjoyed reading Raym’s book.I found it inspiring and enlightening. It is a “must read” for everyone, especially those embarking on a spiritual journey. I highly recommend it.”Dr. Patricia Bragg ND. Ph.D. Health crusader

Becoming the Math Teacher You Wish You'd Had: Ideas and Strategies from Vibrant Classrooms


Tracy Zager - 2017
    Pose the same question to students and many will use words like "boring", "useless", and even "humiliating". In  Becoming the Math Teacher You Wish You'd Had , author Tracy Zager helps teachers close this gap by making math class more like mathematics. Tracy has spent years working with highly skilled math teachers in a diverse range of settings and grades. You'll find this book jam-packed with new ideas from these vibrant classrooms.  How to Teach Student-Centered Mathematics: Zager outlines a problem-solving approach to mathematics for elementary and middle school educators looking for new ways to inspire student learningBig Ideas, Practical Application: This math book contains dozens of practical and accessible teaching techniques that focus on fundamental math concepts, including strategies that simulate connection of big ideas; rich tasks that encourage students to wonder, generalize, hypothesize, and persevere; and routines to teach students how to collaborateKey Topics for Elementary and Middle School Teachers:  Becoming the Math Teacher You Wish You'd Had  offers fresh perspectives on common challenges, from formative assessment to classroom management for elementary and middle school teachersAll teachers can move towards increasingly authentic and delightful mathematics teaching and learning. This important book helps develop instructional techniques that will make the math classes we teach so much better than the math classes we took.