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Introduction to Probability Models

by Sheldon M. Ross

Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction...


Statistical Methods

by Rudolf J. Freund, Donna Mohr & William J. Wilson

Statistical Methods, 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines....


Old Dogs, New Math: Homework Help for Puzzled Parents

by Mike Askew & Rob Eastaway

"Can you help me with my math homework?" If, like most parents, this question fills you with a sense of dread (or even panic), then this is the book for you.

So much for the "good old days" when elementary students...


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...


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...


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...


LEARNING EXPERIENCES TO PROMOTE MATHEMATICS LEARNING: YEARBOOK 2014, ASSOCIATION OF MATHEMATICS EDUCATORS: Yearbook 2014, Association of Mathematics E

by Pee Choon Toh, Tin Lam Toh & Berinderjeet Kaur

This sixth volume, in the series of yearbooks by the Association of Mathematics Educators in Singapore, entitled Learning Experiences to Promote Mathematics Learning is unique in that it focuses on a single...


Spectral Theory of Large Dimensional Random Matrices and Its Applications to Wireless Communications and Finance Statistics: Random Matrix Theory and

by Zhidong Bai, Zhaoben Fang & Ying-Chang Liang

The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems...


The KAM Story: A Friendly Introduction to the Content, History, and Significance of Classical Kolmogorov-Arnold-Moser Theory

by H Scott Dumas

This is a semi-popular mathematics book aimed at a broad readership of mathematically literate scientists, especially mathematicians and physicists who are not experts in classical mechanics or KAM theory, and...


Problems in Probability

by T M Mills

This is a book of problems in probability and their solutions. The work has been written for undergraduate students who have a background in calculus and wish to study probability.

Probability theory is a key...


Matrix Spaces and Schur Multipliers: Matriceal Harmonic Analysis

by Lars-Erik Persson & Nicolae Popa

This book gives a unified approach to the theory concerning a new matrix version of classical harmonic analysis. Most results in the book have their analogues as classical or newer results in harmonic analysis....


Introductory Course on Financial Mathematics

by Michael Tretyakov

This book is an elementary introduction to the basic concepts of financial mathematics with a central focus on discrete models and an aim to demonstrate simple, but widely used, financial derivatives for managing...


Mathematical Methods and Models in Composites

by Vladislav Mantic

This book provides a representative selection of the most relevant, innovative, and useful mathematical methods and models applied to the analysis and characterization of composites and their behaviour on micro-,...