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Theory of Computational Complexity

by Ding-Zhu Du & Ker-I Ko

Praise for the First Edition

"...complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity." -Zentralblatt MATH

A thorough...


Cognitive Interviewing Methodology: A Sociological Approach for Survey Question Evaluation

by Kristen Miller, Valerie Chepp & Stephanie Willson

AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES

Providing a comprehensive approach to cognitive interviewing in the field of survey methodology,...


Hands-On Programming with R: Write Your Own Functions and Simulations

by Garrett Grolemund

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...


The Arrow Impossibility Theorem

by Eric Maskin, Amartya Sen & Kenneth J. Arrow

Kenneth Arrow's pathbreaking “impossibility theorem” was a watershed in the history of welfare economics, voting theory, and collective choice, demonstrating that there is no voting rule that satisfies the...


Solutions Manual to Accompany Classical Geometry: Euclidean, Transformational, Inversive, and Projective

by I. E. Leonard, J. E. Lewis & A. C. F. Liu

Solutions Manual to accompany Classical Geometry: Euclidean, Transformational, Inversive, and Projective

Written by well-known mathematical problem solvers, Classical Geometry: Euclidean, Transformational, Inversive,...


Hodge Theory (MN-49)

by Eduardo Cattani, Fouad El Zein & Phillip A. Griffiths

This book provides a comprehensive and up-to-date introduction to Hodge theory—one of the central and most vibrant areas of contemporary mathematics—from leading specialists on the subject. The topics range...


Taming the Unknown: A History of Algebra from Antiquity to the Early Twentieth Century

by Victor J. Katz & Karen Hunger Parshall

What is algebra? For some, it is an abstract language of x’s and y’s. For mathematics majors and professional mathematicians, it is a world of axiomatically defined constructs like groups, rings, and fields....


Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining

by Glenn J. Myatt & Wayne P. Johnson

With a focus on the needs of educators and students, Making Sense of Data presents the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. ...


Linear Algebra

by Sterling K. Berberian

A thorough first course in linear algebra, this two-part treatment begins with the basic theory of vector spaces and linear maps, including dimension, determinants, eigenvalues, and eigenvectors. The second...


An Introduction to Orthogonal Polynomials

by Theodore S Chihara

Assuming no further prerequisites than a first undergraduate course in real analysis, this concise introduction covers general elementary theory related to orthogonal polynomials. It includes necessary background...


Finite Markov Processes and Their Applications

by Marius Iosifescu

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for...


Statistics for Exercise Science and Health with Microsoft Office Excel

by J. P. Verma

This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.

Statistics for Exercise...


Probability 1

by Ph.D., Amir D. Aczel

For thousands of years, it was the visionaries and writers who argued that we cannot be alone-that there is intellegent life in the universe. Now, with the discoveries of the Hubble Telescope, data emerging...


Willful Ignorance: The Mismeasure of Uncertainty

by Herbert I. Weisberg

An original account of willful ignorance and how this principle relates to modern probability and statistical methods

Through a series of colorful stories about great thinkers and the problems they chose to...


Basic Data Analysis for Time Series with R

by DeWayne R. Derryberry

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing...


Introduction to Proof in Abstract Mathematics

by Andrew Wohlgemuth

The primary purpose of this undergraduate text is to teach students to do mathematical proofs. It enables readers to recognize the elements that constitute an acceptable proof, and it develops their ability...


Makers of Mathematics

by Stuart Hollingdale

Fascinating and highly readable, this book recounts the history of mathematics as revealed in the lives and writings of the most distinguished practitioners of the art: Archimedes, Descartes, Fermat, Pascal,...


Banach Spaces of Analytic Functions

by Kenneth Hoffman

A classic of pure mathematics, this advanced graduate-level text explores the intersection of functional analysis and analytic function theory. Close in spirit to abstract harmonic analysis, it is confined to...


Calculus and Statistics

by Michael C. Gemignani

Self-contained and suitable for undergraduate students, this text offers a working knowledge of calculus and statistics. It assumes only a familiarity with basic analytic geometry, presenting a coordinated study...


Applied Mathematics for Engineers and Physicists: Third Edition

by Lawrence R. Harvill & Louis A. Pipes

One of the most widely used reference books on applied mathematics for a generation, distributed in multiple languages throughout the world, this text is geared toward use with a one-year advanced course in...