代码搜索：solves
找到约 1,488 项符合「solves」的源代码
代码结果 1,488
www.eeworm.com/read/347943/11626110
c fwdpr1.c
/*
% y = fwdpr1(Lden, b)
% FWDPR1 Solves "PROD_k L(pk,betak) * y = b", where
% where L(p,beta) = eye(n) + tril(p*beta',-1).
%
% SEE ALS
www.eeworm.com/read/347943/11626245
m sparfwslv.m
% SPARFWSLV Solves block sparse upper-triangular system.
% y = sparfwslv(L,b) yields the same result as
% y = L.L\b(L.perm,:)
% However, SPARFWSLV is faster than the built-in ope
www.eeworm.com/read/347943/11626349
m bwblkslv.m
% BWBLKSLV Solves block sparse upper-triangular system.
% y = bwblkslv(L,b) yields the same result as
% y(L.perm,:) = L.L'\b
% However, BWBLKSLV is faster than the built-in opera
www.eeworm.com/read/347943/11626538
m sparbwslv.m
% SPARBWSLV Solves block sparse upper-triangular system.
% y = sparbwslv(L,b) yields the same result as
% y(L.perm,:) = L.L'\b
% However, SPARBWSLV is faster than the built-in op
www.eeworm.com/read/155781/11848318
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/155568/11863023
m tridisolve.m
function x = tridisolve(a,b,c,d)
% TRIDISOLVE Solve tridiagonal system of equations.
% x = TRIDISOLVE(a,b,c,d) solves the system of linear equations
% b(1)*x(1) + c(1)*x(2) = d(1),
%
www.eeworm.com/read/343743/11930977
m rbf_fs_2.m
function [C, R, w, info, conf] = rbf_fs_2(X, y, conf)
%
% Regularised forward selection using radial basis functions.
%
% Solves a regression problem with inputs X and outputs y using forward
% select
www.eeworm.com/read/343743/11930985
m rbf_rt_1.m
function [C, R, w, info, conf] = rbf_rt_1(X, y, conf)
%
% Hybrid radial basis function network and regression tree.
%
% Solves a regression problem with inputs X and outputs y using a
% regression tre
www.eeworm.com/read/343743/11931005
m rbf_rt_2.m
function [C, R, w, info, conf] = rbf_rt_2(X, y, conf)
%
% Hybrid radial basis function network and regression tree.
%
% Solves a regression problem with inputs X and outputs y using a
% regression tre
www.eeworm.com/read/154717/11932370
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM