Description:
Keywords: BLAS, Linear Algebra, optimization, FFT, interpolation, SVD, lazy image, vector promise, pseudoinverse, regularization, C++, class library Hot points: - _efficient_ and _fool-proof_ implementations of level 1 and 2 "BLAS" (element-wise operations + various multiplications) - transpositions and determinant evaluation/inversion - operations on a single row/col/diagonal of a matrix - Lazy vector and Matrices (promises) , and ElementAction iterators for fast sweeping actions - radix-2 DFT of a real or complex sequence, or sin/cos complex Fourier integral of an evenly tabulated function. Inverse of a transform restores the original function with the relative error of 1e-6% - Hooks-Jeevse multidimensional optimization - Aitken-Lagrange interpolation over a grid of uniform or arbitrary mesh - *Singular Value Decomposition* of a rectangular matrix, with an application to solve Ax=b, where A does not have to be square, and b does not have to be a vector. In a case of a rectangular matrix A, this effectively solves a least-squares problem. - Brent's efficient univariate optimization and root finding (with a guaranteed conversion) - with a validation code to verify everything - with a rather commented source and DR8 projects A *big* README file tells much more what it all is and how to use it Mirror Download Sites:
If you have any questions about the information provided for a specific application, please e-mail the author. If you have any questions about the BeWare pages themselves, though, feel free to e-mail webmaster@be.com. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 1999 by Be, Inc. All rights reserved. Legal information (includes icon usage info). Comments, questions, or confessions about our site? Please write the Webmaster. |