C++ Scientific Programming: Computational Recipes at a Higher Level
John R. Berryhill
貴賓價: $1,425Pattern Recognition, 4/e (Hardcover)
貴賓價: $1,425Algorithms for Image Processing and Computer Vision, 2/e (Paperback)
貴賓價: $3,420Probabilistic Graphical Models: Principles and Techniques (Hardcover)
C++ Scientific Programming teaches the design of programs for scientific computation in C++. It introduces unique C++ classes for vectors, dense matrices, and sparse matrices, and defines the particular relationships among these classes. It then demonstrates how to use these fundamental classes in a dozen of the most powerful current applications.
The author limits the scope of the book to features that are specifically useful to scientific programmers. He presents a set of practices that allows programmers to embrace the attractive features of C++ without incurring undesired side effects and hidden costs. He illustrates these practices by implementing major contemporary numerical methods and providing examples for execution with a C++ compiler. A collection of source code files correlated with the content of the book can be downloaded from the Wiley ftp site.
C++ Scientific Programming shows how C++ improves on both FORTRAN and C and affords greater convenience and efficiency in coding mathematics. It serves as a vital companion to more general C++ texts and treats the unique needs of scientific programmers.
Table of Contents
Vector ad Matrix Basics.
Sparse Matrix Basics.
Householder Matrix Methods.
Singular Value Decomposition.