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MATLAB Numerical Calculations
MATLAB Numerical Calculations

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Optimization (Springer Texts in Statistics)
Optimization (Springer Texts in Statistics)

Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus...

A First Course in Fourier Analysis
A First Course in Fourier Analysis

This unique book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling...

All the Mathematics You Missed: But Need to Know for Graduate School
All the Mathematics You Missed: But Need to Know for Graduate School
Math is Exciting. We are living in the greatest age of mathematics ever seen. In the 1930s, there were some people who feared that the rising abstractions of the early twentieth century would either lead to mathematicians working on sterile, silly intellectual exercises or to mathematics splitting into sharply distinct...
The Student's Introduction to MATHEMATICA®: A Handbook for Precalculus, Calculus, and Linear Algebra
The Student's Introduction to MATHEMATICA®: A Handbook for Precalculus, Calculus, and Linear Algebra
"It's a good book... a book that most students can benefit from."
MAA Reviews

The unique feature of this compact student's introduction is that it presents concepts in an order that closely follows a standard mathematics curriculum, rather than structure the book along features of the software. As a result,
...
Math for Business and Economics: Compendium of Essential Formulas
Math for Business and Economics: Compendium of Essential Formulas

This textbook contains and explains essential mathematical formulas within an economic context. A broad range of aids and supportive examples will help readers to understand the formulas and their practical applications. This mathematical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed...

All the Mathematics You Missed But Need to Know for Graduate School
All the Mathematics You Missed But Need to Know for Graduate School
"Point set topology, complex analysis, differential forms, the curvature of surfaces, the axiom of choice, Lebesgue integration, Fourier analysis, algorithms, and differential equations.... I found these sections to be the high points of the book. They were a sound introduction to material that some but not all graduate students will...
Fat Manifolds and Linear Connections
Fat Manifolds and Linear Connections
The theory of connections is central not only in pure mathematics (differential and algebraic geometry), but also in mathematical and theoretical physics (general relativity, gauge fields, mechanics of continuum media). The now-standard approach to this subject was proposed by Ch. Ehresmann 60 years ago, attracting first mathematicians and...
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Doing Bayesian Data Analysis: A Tutorial with R and BUGS

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides...

Linear Integral Equations (Applied Mathematical Sciences)
Linear Integral Equations (Applied Mathematical Sciences)

This book combines theory, applications, and numerical methods, and covers each of these fields with the same weight. In order to make the book accessible to mathematicians, physicists, and engineers alike, the author has made it as self-contained as possible, requiring only a solid foundation in differential and integral calculus. The...

Fundamentals of Robotic Mechanical Systems
Fundamentals of Robotic Mechanical Systems
Modern robotics dates from the late 1960s, when progress in the development of microprocessors made possible the computer control of a multiaxial manipulator. Since then, robotics has evolved to connect with many branches of science and engineering, and to encompass such diverse fields as computer vision, artificial intelligence, and speech...
Geometric Partial Differential Equations and Image Analysis
Geometric Partial Differential Equations and Image Analysis

This book is an introduction to the use of geometric partial differential equations (PDEs) in image processing and computer vision. This relatively new research area brings a number of new concepts into the field, providing, among other things, a very fundamental and formal approach to image processing. State-of-the-art practical results in...

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