C++ Scientific Programming: Computational Recipes at a Higher Level

An introduction to advanced C++, specialized for scientific programmers
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.

Spis treści:
Preafce.
Overview.
Vector ad Matrix Basics.
Sparse Matrix Basics.
Conjugate–Gradient Methods.
Triangular Matrices.
Householder Matrix Methods.
Singular Value Decomposition.
Cholesky Decomposition.
Automatic Derivatives.
Constrained Optimization.
Interior–Point Extensions.
LU Factorization.
Complex Arrays.
Fourier Transforms.
References.
Index.

Nota biograficzna:
JOHN R. BERRYHILL, PhD, earned his doctorate in physics from the University of Wisconsin–Madison. He has been writing programs and developing data–processing methods for over thirty years. He lives in Austin, Texas.

Okładka tylna:
An introduction to advanced C++, specialized for scientific programmers
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.