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StreetFighting Math: Guessing & Opportunistic Problem Solving
This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation.

Statistical Methodologies and Their Application to Real Problems
This book provides a crossdisciplinary forum for exploring the variety of new data analysis techniques emerging from different fields, focusing on recent advances in data analysis techniques in many different research fields.

Fourier Transforms  Hightech Application and Current Trends
The main purpose of this book is to provide a modern review about recent advances in Fourier transforms as the most powerful analytical tool for hightech application in electrical, electronic, and computer engineering, as well as other applications.

Category Theory for the Sciences (David I. Spivak)
Using databases as an entry to category theory, this book explains category theory by examples, and shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences.

Mathematical Linguistics (Andras Kornai)
This book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing (NLP). It presents linguistics as a cumulative body of knowledge from the ground up.

Math Alive (Ingrid Daubechies, et at)
Mathematics has profoundly changed our world, from banking to listening to music. This course is designed for those who haven't had college mathematics but would like to understand some of the mathematical concepts behind important modern applications.

Mathematics for Classical Information Retrieval: Roots and Apps
This book is about Information Retrieval (IR), particularly Classical Information Retrieval (CIR). The primary goal of book is to create a context for understanding the principles of CIR by discussing its mathematical bases.

Applied Analysis (John K. Hunter, et al)
This book provides an introduction to those parts of analysis that are most useful in applications for graduate students. The material is selected for use in applied problems, and is presented clearly and simply but without sacrificing mathematical rigor.

Applied Linear Algebra in Action (Vasilios N. Katsikis)
This textbook contains a collection of six highquality chapters. The techniques are illustrated by a wide sample of applications. It is devoted to Linear Mathematics by presenting problems in Applied Linear Algebra of general or special interest.

Linear Algebra: A Course for Physicists and Engineers (Arak Mathai)
This textbook on linear algebra is written to be easy to digest by nonmathematicians. It introduces the concepts of vector spaces and mappings between them without too much theorems and proofs. Various applications of the formal theory are discussed as well.

Applied and Computational Linear Algebra: A First Course
This book is intended as a text for a graduate course that focuses on applications of linear algebra and on the algorithms used to solve the problems that arise in those applications.

Applied Finite Mathematics (Rupinder Sekhon)
This book covers topics including linear equations, matrices, linear programming (geometrical approach and simplex method), the mathematics of finance, sets and counting, probability, Markov chains, and game theory.

Mathematical Tools for Physics (James Nearing)
This book provides a comprehensive introduction to the areas of mathematical physics. It combines all the essential math concepts into one compact, clearly written reference.

Mathematics for the Physical Sciences (Herbert S. Wilf)
This book provides a text for a firstyear graduate level course in mathematical methods. Advanced undergraduates and graduate students in the natural sciences will receive a solid foundation in several fields of mathematics with this text.

Shape Interrogation for Computer Aided Design and Manufacturing
This book provides the mathematical fundamentals as well as algorithms for various shape interrogation methods including nonlinear polynomial solvers, intersection problems, differential geometry of intersection curves, distance functions etc.

Mathematical Applications for Game Development (R. Baldwin)
This book presents applications of mathematics and science in game and simulation programming. Includes the utilization of matrix and vector operations, kinematics, and Newtonian principles in games and simulations. Also covers code optimization.

Vector Math for 3D Computer Graphics, 4th Revision (Bradley Kjell )
This is a tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed to read collegelevel computer graphics text books.

3D Math Primer for Graphics and Game Development (F. Dunn)
Working C++ classes for mathematical and geometric entities and several different matrix classes illustrate how to put the techniques into practice, and exercises at the end of each chapter help reinforce the 3D programming concepts.

Mathematics for Algorithm and Systems Analysis (E. A. Bender)
This uptodate textbook assists undergraduates in mastering the ideas and mathematical language to address problems that arise in the field's many applications.

Linear Mathematics In Infinite Dimensions (Ulrich H. Gerlach)
Focus on the mathematical framework that underlies linear systems arising in physics, engineering and applied mathematics  from the theory of linear transformation on finite dimensional vector space to the infinite dimensional vector spaces.

Numerical Simulations of Physical and Engineering Processes
The book handles the numerical simulations of physical and engineering systems. It can be treated as a bridge linking various numerical approaches of two closely interrelated branches of science, i.e. physics and engineering.

Feedback Systems: An Introduction for Scientists and Engineers
This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It uses techniques from physics, computer science, and operations research to introduce controloriented modeling.

Games, Fixed Points and Mathematical Economics (C. Ewald)
This book gives the reader access to the mathematical techniques involved and goes on to apply fixed point theorems to proving the existence of equilibria for economics and for cooperative and noncooperative games.

Call Center Mathematics: Understanding and Improving
This book gives an overview of the role and potential of mathematical optimization in call centers. It deals extensively with all aspects of workforce management, but also with topics such as call routing and the scheduling of multiple channels.

Modern Signal Processing (Daniel N. Rockmore, et al)
Signal processing is ubiquitous in modern technology. Its mathematical basis and applications are the subject of this book. Emphasis is on challenges, new techniques adapted to new technologies, and certainrecent advances in algorithms and theory.

Semantics  Advances in Theories and Mathematical Models
This book is a nice blend of number of great ideas, theories, mathematical models, and practical systems in the domain of Semantics, which highlights the advances in theories and mathematical models in the domain of Semantics.

Mathematics and Music (David Wright)
An investigation of the interrelationships between mathematics and music, reviewing the needed background concepts in each subject as they are encountered. It explores the common foundations of the two subjects, which are developed side by side.

Music: A Mathematical Offering (David J. Benson)
This book provides a wealth of information to understand, at varying levels of technicality, the interplay between two ancient disciplines. A musthave book if you want to know about the music of the spheres or digital music and much in between.

How Music and Mathematics Relate (David Kung)
Understanding the connections between music and mathematics helps you appreciate both, even if you have no special ability in either field � from knowing the mathematics behind tuning an instrument to understanding the features that define your favorite pieces.

Modeling with Data: Tools and Techniques for Scientific Computing
Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, etc. with powerful statistical and mathematical tools.

Applied Mathematics
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