代码搜索：Formulation
找到约 295 项符合「Formulation」的源代码
代码结果 295
www.eeworm.com/read/138987/13197289
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/485012/6570574
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/484716/6572836
m sspara98.m
function output=SSPARAB98(signal,fs,IS)
% output=SSPARAB98(signal,fs,IS)
% "A Parametric Formulation of the Generalized Spectral Subtraction Method"
% This is very similar to SSPARASIM98
% Spect
www.eeworm.com/read/156956/11750266
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/259727/11770633
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/257911/11907029
m makeay.m
function [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas)
% makeAy: Make the A matrix and RHS for the CCV formulation.
%
% [Ay, by] = makeAy(baseMVA, ng, gencost, pgbas, qgbas, ybas) con
www.eeworm.com/read/251835/12317348
m crgather.m
function [u,uquad,zr] = crgather(u,uquad,quadnum,cr,Q,zr)
%CRGATHER Convert points into a single embedding in CR formulation.
% Each quadrilateral (crossratio) has an associated embedding of the
www.eeworm.com/read/250652/12394195
m fulldynv.m
% [ShortOutput,LongOutput] = fulldynV(reft)
%
% PURPOSE: 2D Spectral BIEM for fault dynamics
% Antiplane mode, VELOCITY formulation
% References: Morrisey and Geubelle 1997
% Lapusta et al. 20
www.eeworm.com/read/229740/14318202
m demo2.m
% This Matlab file demomstrates a variational level set method that improves the original method in Li et al's paper
% "Level Set Evolution Without Re-initialization: A New Variational Formulation
www.eeworm.com/read/229740/14318205
m demo2_manualbinaryinitial.m
% This Matlab file demomstrates a variational level set method that improves the original method in Li et al's paper
% "Level Set Evolution Without Re-initialization: A New Variational Formulation