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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...


A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra)

by Barbara Oakley

Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a higher level of math competency, A Mind for Numbers offers the tools you...


Ask the Experts: Physics and Math

by Scientific American Editors

For going on two decades, Scientific American’s “Ask the Experts” column has been answering reader questions on all fields of science. We’ve taken your questions from the basic to the esoteric and reached...


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,...


Architecture of Network Systems

by Dimitrios Serpanos & Tilman Wolf

If you've ever run a forced-hot air heating system, it's not too hard to understand by analogy the basics of Network Systems. Of course, your heating system needs a humidifier attached to it, but the humidifier...


Statistical Bioinformatics: with R

by Sunil K. Mathur

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a...


Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique

by E. Michael Nussbaum

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at...


Introductory Statistics

by Sheldon M. Ross

In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications...


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,...


Maths for the Building Trades

by Jim Kidd & Ian Bell

Maths for the Building Trades provides students of all ages with an easy-to-understand guide to the fundamental mathematics that is required in their area of study and beyond. It can be used as a learning programme...


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...


Elements of Real Analysis

by David A. Sprecher

This classic text in introductory analysis delineates and explores the intermediate steps between the basics of calculus and the ultimate stage of mathematics: abstraction and generalization.

Since many abstractions...


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...


Applications of Tensor Analysis

by A. J. McConnell

Standard work applies tensorial methods to subjects within realm of advanced college mathematics. Text explains fundamental ideas and notation of tensor theory; covers geometrical treatment of tensor algebra;...


Dynamical Systems

by Shlomo Sternberg

Celebrated mathematician Shlomo Sternberg, a pioneer in the field of dynamical systems, created this modern one-semester introduction to the subject for his classes at Harvard University. Its wide-ranging treatment...


Elementary Induction on Abstract Structures

by Yiannis N. Moschovakis

Hailed by the Bulletin of the American Mathematical Society as "easy to use and a pleasure to read," this research monograph is recommended for students and professionals interested in model theory and definability...


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...


Fundamentals of Applied Probability and Random Processes

by Oliver Ibe

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers...


Dr. Euler's Fabulous Formula: Cures Many Mathematical Ills

by Paul J. Nahin

I used to think math was no fun

'Cause I couldn't see how it was done

Now Euler's my hero

For I now see why zero

Equals e[pi] i+1

--Paul Nahin, electrical engineer

In the mid-eighteenth century, Swiss-born mathematician...