代码搜索：optimize
找到约 6,026 项符合「optimize」的源代码
代码结果 6,026
www.eeworm.com/read/383163/8966017
changelog
2008.220: 2.1.6
- Optimize Steim 1 & 2 encoders significantly by using small local
working buffers and eliminating many redundant calculations.
Thanks to Jean-Francois Fels.
2008.171:
- Add Matla
www.eeworm.com/read/426941/8990577
makefile
PRG = yinyue
OBJ = yinyue.o
MCU_TARGET = atmega128
OPTIMIZE = -O2
DEFS =
LIBS =
# You should not have to change anything below here.
C
www.eeworm.com/read/183445/9158762
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/374698/9388940
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/278889/10490725
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/421949/10676263
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})
www.eeworm.com/read/350482/10741163
icc makefile.icc
CC = icc
CFLAGS += -I../
# optimize for SPEED
#
# -mcpu= can be pentium, pentiumpro (covers PII through PIII) or pentium4
# -ax? specifies make code specifically for ? but compatible with IA-32
#
www.eeworm.com/read/272848/10940525
cpp timematrix.cpp
// run time for add, multiply and transpose using class matrix
#include
#include
#include "matrix.h"
using namespace std;
#pragma optimize("t", on)
int main()
{
int
www.eeworm.com/read/445165/7598325
m nmatreg.m
%
% Linear neural network with matrix inputs.
%
% In this model we take sums of u'Xv and iteratively optimize parameters of
% the sums. For paper(s) see pd.hacker.lt
%
% Model created and i
www.eeworm.com/read/397122/8065908
m bay_initlssvm.m
function [model, ss] = bay_initlssvm(model)
% Initialize the hyperparameters [$ \gamma$] and [$ \sigma^2$] before optimization with bay_optimize
%
% >> [gam, sig2] = bay_initlssvm({X,Y,type,[],[]})