Per Page:

Applied Abstract Algebra with MapleTM and MATLAB®, Third Edition


Richard Klima, Neil Sigmon, Ernest Stitzinger
November 19, 2015

Applied Abstract Algebra with MapleTM and MATLAB® provides an in-depth introduction to real-world abstract algebraic problems. This popular textbook covers a variety of topics including block designs, coding theory, cryptography, and counting techniques, including Pólya's and Burnside's theorems. ...

Introduction to Enumerative and Analytic Combinatorics, Second Edition


Miklos Bona
October 2, 2015

Introduction to Enumerative and Analytic Combinatorics fills the gap between introductory texts in discrete mathematics and advanced graduate texts in enumerative combinatorics. The book first deals with basic counting principles, compositions and partitions, and generating functions. It then focuse...

A Concise Introduction to Pure Mathematics, Fourth Edition


Martin Liebeck
November 3, 2015

Accessible to all students with a sound background in high school mathematics, A Concise Introduction to Pure Mathematics, Fourth Edition presents some of the most fundamental and beautiful ideas in pure mathematics. It covers not only standard material but also many interesting topics not usually e...

Finite Element Methods for Eigenvalue Problems

Jiguang Sun, Aihui Zhou
July 27, 2016

This book covers finite element methods for several typical eigenvalues that arise from science and engineering. Both theory and implementation are covered in depth at the graduate level. The background for typical eigenvalue problems is included along with functional analysis tools, finite element...

Machine Learning: Algorithms and Applications

Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
July 26, 2016

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the...

Introduction to Abelian Model Structures and Gorenstein Homological Dimensions

Marco A. P. Bullones
July 21, 2016

Introduction to Abelian Model Structures and Gorenstein Homological Dimensions provides a starting point to study the relationship between homological and homotopical algebra, a very active branch of mathematics. The book shows how to obtain new model structures in homological algebra by...

Group Theory in Particle, Nuclear, and Hadron Physics

Syed Afsar Abbas
July 18, 2016

This user-friendly book on group theory introduces topics in as simple a manner as possible and then gradually develops those topics into more advanced ones, eventually building up to the current state-of-the-art. By using simple examples from physics and mathematics, the advanced topics become...

Exploring Calculus: Labs and Projects with Mathematica

Crista Arangala, Karen A. Yokley
July 18, 2016

This text is meant to be a hands-on lab manual that can be used in class every day to guide the exploration of the theory and applications of differential and integral calculus. For the most part, labs can be used individually or in a sequence. Each lab consists of an explanation of material with...

Reliability Assessments: Concepts, Models, and Case Studies

Franklin Richard Nash, Ph.D.
July 06, 2016

This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of...

Simulation for Applied Graph Theory Using Visual C++

Shaharuddin Salleh, Zuraida Abal Abas
July 06, 2016

The tool for visualization is Microsoft Visual C++. This popular software has the standard C++ combined with the Microsoft Foundation Classes (MFC) libraries for Windows visualization. This book explains how to create a graph interactively, solve problems in graph theory with minimum number of C++...

Moving Finite Element Method: Fundamentals and Applications in Chemical Engineering

Maria do Carmo Coimbra, Alirio Egidio Rodrigues, Jaime Duarte Rodrigues, Rui Jorge Mendes Robalo, Rui Manuel Pires Almeida
June 22, 2016

This book focuses on process simulation in chemical engineering with a numerical algorithm based on the moving finite element method (MFEM). It offers new tools and approaches for modeling and simulating time-dependent problems with moving fronts and with moving boundaries described by...

Delay Differential Evolutions Subjected to Nonlocal Initial Conditions

Monica-Dana Burlică, Mihai Necula, Daniela Roșu, Ioan I. Vrabie
June 20, 2016

Filling a gap in the literature, Delay Differential Evolutions Subjected to Nonlocal Initial Conditions reveals important results on ordinary differential equations (ODEs) and partial differential equations (PDEs). It presents very recent results relating to the existence, boundedness, regularity,...

Handbook of Applications of Chaos Theory

Christos H. Skiadas, Charilaos Skiadas
June 01, 2016

In addition to explaining and modeling unexplored phenomena in nature and society, chaos uses vital parts of nonlinear dynamical systems theory and established chaotic theory to open new frontiers and fields of study. Handbook of Applications of Chaos Theory covers the main parts of chaos theory...

Spatial Context: An Introduction to Fundamental Computer Algorithms for Spatial Analysis

Christopher Gold
May 31, 2016

Many disciplines are concerned with manipulating geometric (or spatial) objects in the computer – such as geology, cartography, computer aided design (CAD), etc. – and each of these have developed their own data structures and techniques, often independently. Nevertheless, in many cases the object...

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing

Thierry Bouwmans, Necdet Serhat Aybat, El-hadi Zahzah
May 27, 2016

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing...