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Cracking the New GMAT, 2013 Edition: Revised and Updated for the New GMAT (Graduate School Test Preparation)
Cracking the New GMAT, 2013 Edition: Revised and Updated for the New GMAT (Graduate School Test Preparation)

If you need to know it for the next-generation GMAT, it’s in this book. Cracking the New GMAT, 2013 Edition has been completely revised and updated for the changes coming to the new GMAT in June 2012. It includes:
 
   • Access to 2 full-length practice tests
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Algebra and Trigonometry (9th Edition)
Algebra and Trigonometry (9th Edition)

Mike Sullivan’s time-tested approach focuses students on the fundamental skills they need for the course: preparing for class, practicing with homework, and reviewing the concepts. In the Ninth Edition, Algebra and Trigonometry has evolved to meet today’s course needs, building on these...

Data Fusion: Concepts and Ideas
Data Fusion: Concepts and Ideas

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion.
It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion:
An Introduction" which was originally published by Springer-Verlag in 2007.
The main changes in
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Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra (Undergraduate Texts in Mathematics)
Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra (Undergraduate Texts in Mathematics)

This book details the heart and soul of modern commutative and algebraic geometry. It covers such topics as the Hilbert Basis Theorem, the Nullstellensatz, invariant theory, projective geometry, and dimension theory. In addition to enhancing the text of the second edition, with over 200 pages reflecting changes to enhance clarity and...

The MAPLE Book
The MAPLE Book
Maple is a very powerful computer algebra system used by students, educators, mathematicians, statisticians, scientists, and engineers for doing numerical and symbolic computations. Greatly expanded and updated from the author's MAPLE V Primer, The MAPLE Book offers extensive coverage of the latest version of this outstanding software package,...
Computer Algebra 2006: Latest Advances in Symbolic Algorithms - Proceedings of the Waterloo Workshop
Computer Algebra 2006: Latest Advances in Symbolic Algorithms - Proceedings of the Waterloo Workshop

Written by world-renowned experts, the book is a collection of tutorial presentations and research papers catering to the latest advances in symbolic summation, factorization, symbolic-numeric linear algebra and linear functional equations. The papers were presented at a workshop celebrating the 60th birthday of Sergei Abramov (Russia), whose...

Proof Complexity (Encyclopedia of Mathematics and its Applications)
Proof Complexity (Encyclopedia of Mathematics and its Applications)
Proof complexity is a rich subject drawing on methods from logic, combinatorics, algebra and computer science. This self-contained book presents the basic concepts, classical results, current state of the art and possible future directions in the field. It stresses a view of proof complexity as a whole entity rather than a collection of various...
Understanding and Using Linear Programming (Universitext)
Understanding and Using Linear Programming (Universitext)
From the reviews:

"The authors’ guiding phrase is ‘what every theoretical computer scientist should know about linear programming’. … this book is easy and pleasant reading. A number of examples and illustrations are provided throughout the book. … The book is well written and well organized; I recommend it...

Subspace Methods for System Identification
Subspace Methods for System Identification
System identification provides methods for the sensible approximation of real systems using a model set based on experimental input and output data. Tohru Katayama sets out an in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced and novel results. The text is...
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical...

Transact-SQL Cookbook (O'Reilly Windows)
Transact-SQL Cookbook (O'Reilly Windows)
This cookbook contains a wealth of solutions to problems that SQL programmers face all the time. Recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Each recipe includes a discussion that explains the logic and concepts underlying the...
Challenging Problems in Algebra (Dover Books on Mathematics)
Challenging Problems in Algebra (Dover Books on Mathematics)

Stimulating collection of over 300 unusual problems involving equations and inequalities, Diophantine equations, number theory, quadratic equations, logarithms and more. Problems range from easy to difficult. Detailed solutions, as well as brief answers, for all problems are provided.

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