代码搜索：solves

找到约 1,488 项符合「solves」的源代码

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www.eeworm.com/read/335571/12514298

m lpsetup.m

function [x, duals, idx_workc, idx_bindc] = LPsetup(a, f, b, nequs, vlb, vub, idx_workc, mpopt) % LPSOLVER solves a LP problem using a callable LP routine % The LP problem is defined as follows: %
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www.eeworm.com/read/334923/12562212

m opf.m

function [buso, gen, branch, f, success, info, et, g, jac] = opf(baseMVA, bus,... gen, branch, areas, gencost, Au, lbu, ubu, mpopt, N, fparm, H, Cw) %OPF Solves an optimal power flow. % %
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www.eeworm.com/read/147096/12583961

m lyap2.m

function X = lyap2(A, B, C) %LYAP2 Lyapunov equation solution using eigenvalue decomposition. % X = LYAP2(A,C) solves the special form of the Lyapunov matrix % equation: % % A*X + X*A' = -C %
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www.eeworm.com/read/132706/14077877

m opf.m

function [bus, gen, branch, f, success, et] = opf(baseMVA, bus, gen, gencost, ... branch, Ybus, Yf, Yt, ref, pv, pq, mpopt) %OPF Solves an optimal power flow. % [bus, gen, branch, f, succes
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www.eeworm.com/read/132706/14077903

m lpsetup.m

function [x, duals, idx_workc, idx_bindc] = LPsetup(a, f, b, nequs, vlb, vub, idx_workc, mpopt) % LPSOLVER solves a LP problem using a callable LP routine % The LP problem is defined as follows: %
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www.eeworm.com/read/202680/15375884

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), % a(
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www.eeworm.com/read/113579/15453001

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
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www.eeworm.com/read/113579/15453002

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
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www.eeworm.com/read/113579/15453005

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
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www.eeworm.com/read/101557/15826506

m lyap2.m

function X = lyap2(A, B, C) %LYAP2 Lyapunov equation solution using eigenvalue decomposition. % X = LYAP2(A,C) solves the special form of the Lyapunov matrix % equation: % % A*X + X*A' = -C %
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