This book was written to support a short course in the second or third year of
an undergraduate computer science, software engineering, or software design
program. The prerequisites are fairly modest: some programming experience
(ideally in С or С++ or a related language such as Java) and some exposure
to the most basic...
This book has developed from a one-term course in differential geometry given for juniors, seniors, and graduate students at the Massachusetts Institute of Technology. It presents the fundamental conceptions of the theory of curves and surfaces and applies them to a number of examples. Some care is given to historical, biographical, and...
This book provides an accelerated introduction to Maple for scientific programmers who already have experience in other computer languages (such as C, Pascal, or FORTRAN). It gives an overview of the most commonly used constructs and an elementary introduction to Maple programming. The new edition is substantially updated throughout. In...
In revising the second edition, the strengths of the prior editions were retained while reflecting the changes
in the study of trigonometry during the last ten years. This edition deletes the use of logarithms entirely,
increases the use of calculators, and changes from the column form of working identity problems to the
horizontal...
Elastomers and rubberlike materials form a critical component in diverse applications that range from tyres to biomimetics and are used in chemical, biomedical, mechanical and electrical engineering. This updated and expanded second edition provides an elementary introduction to the physical and molecular concepts governing elastic behaviour,...
This textbook is of an interdisciplinary nature and is designed for a two- or one-semester course in
probability and statistics, with basic calculus as a prerequisite. The book is primarily written to give
a sound theoretical introduction to statistics while emphasizing applications. If teaching statistics
is the main purpose of a...
The Monte Carlo method is a numerical method of solving mathematical problems through random sampling. As a universal numerical technique, the method became possible only with the advent of computers, and its application continues to expand with each new computer generation. A Primer for the Monte Carlo Method demonstrates how practical...
"Classic Problems of Probability" is the winner of the 2012 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence.
"A great book, one that I will certainly add to my personal library." --Paul J. Nahin, Professor Emeritus of Electrical...
The Bittinger Graphs and Models series helps students “see the math” and learn algebra
by making connections between mathematical concepts and their real-world applications.
The authors use a variety of tools and techniques—including side-by-side algebraic
and graphical solutions and graphing calculators, when...
Advanced algebra in the service of contemporary mathematical research-- a unique introduction.
This volume takes an altogether new approach to advanced algebra. Its intriguing title, inspired by the term postmodernism, denotes a departure from van der Waerden's Modern Algebra--a book that has dominated the field for...
The twelfth edition of Calculus for Business, Economics, Life Sciences, and Social
Sciences is designed for a one- or two-term course in calculus for students who have
had one to two years of high school algebra or the equivalent. The book s overall
approach, refined by the authors experience with large sections of college freshmen,...
This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and modern implementations of the most important techniques.
