代码搜索:Generators
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www.eeworm.com/read/300492/13909761
cpp fbinder.cpp
//: C06:FBinder.cpp
// From "Thinking in C++, Volume 2", by Bruce Eckel & Chuck Allison.
// (c) 1995-2004 MindView, Inc. All Rights Reserved.
// See source code use permissions stated in the file '
www.eeworm.com/read/132706/14077859
m opfsoln.m
function [bus, gen, branch] = opfsoln(baseMVA, bus0, gen0, branch0, ...
Ybus, Yf, Yt, V, Sg, lambda, ref, pv, pq, mpopt)
%OTOPFSOL Updates bus, gen, branch data structures to match opf sol
www.eeworm.com/read/110993/15520483
makefile microsoft.makefile
# From Thinking in C++, 2nd Edition
# At http://www.BruceEckel.com
# (c) Bruce Eckel 1999
# Copyright notice in Copyright.txt
# Automatically-generated MAKEFILE
# For examples in directory C21
www.eeworm.com/read/110993/15520491
makefile all.makefile
# From Thinking in C++, 2nd Edition
# At http://www.BruceEckel.com
# (c) Bruce Eckel 1999
# Copyright notice in Copyright.txt
# Automatically-generated MAKEFILE
# For examples in directory C21
www.eeworm.com/read/110993/15520495
makefile egcs.makefile
# From Thinking in C++, 2nd Edition
# At http://www.BruceEckel.com
# (c) Bruce Eckel 1999
# Copyright notice in Copyright.txt
# Automatically-generated MAKEFILE
# For examples in directory C21
www.eeworm.com/read/110993/15520503
makefile borland.makefile
# From Thinking in C++, 2nd Edition
# At http://www.BruceEckel.com
# (c) Bruce Eckel 1999
# Copyright notice in Copyright.txt
# Automatically-generated MAKEFILE
# For examples in directory C21
www.eeworm.com/read/102394/15784317
authors
Mark Galassi (rosalia@lanl.gov) - overall design, simulated annealing
Jim Davies (jimmyd@nis.lanl.gov) - statistics library
James Theiler (jt@nis.lanl.gov) - random number generators
Brian Gough (bjg@
www.eeworm.com/read/188426/8541387
m grad_ccv.m
function [df, dg] = grad_ccv(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt)
%GRAD_CCV Evaluates gradients of objective function & constraints for OPF.
% [df, dg] = gr
www.eeworm.com/read/163563/10154009
m grad_ccv.m
function [df, dg] = grad_ccv(x, baseMVA, bus, gen, gencost, branch, Ybus, Yf, Yt, V, ref, pv, pq, mpopt)
%GRAD_CCV Evaluates gradients of objective function & constraints for OPF.
% [df, dg] = gr