That statement encapsulates the view of The MathWorks, Inc., the developer of MATLAB®. MATLAB 6 is an ambitious program. It contains hundreds of com- mands to do mathematics. You can use it to graph functions, solve equations, perform statistical tests, and do much more. It is a high-level programming language that can communicate...

There are many students and professionals in science and engineering, other than those specifically interested in fields such as computer science or computer engineering, who need to know how to solve computational problems on computers. There are basically two approaches to meeting the needs of such people. One is to rely on software...

Numerical analysis is the branch of mathematics that is used to find approximations to difficult problems such as finding the roots of non-linear equations, integration involving complex expressions and solving differential equations for which analytical solutions do not exist. It is applied to a wide variety of disciplines such as...

MATLAB is widely used...

An important aspect of teaching a course in compiler writing is to illustrate the key theoretical concepts normally taught in such a course. A frequently used strategy for achieving this goal is to have a student design a simple programming language and implement a compiler for this language. Many texts in compiler writing do not,...

This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in Basic, Fortran, Pascal And C) included on a floppy disk to...

Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers,...

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Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model...

Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features *Emphasizes how to solve problems, with correctness the...

• Find, manipulate, and analyze your data using the Python 3.5 libraries
• Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
• An easy-to-follow guide with realistic examples that are frequently used in real-world data...