代码搜索：optimization

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gawk rank-vocab.gawk

#!/usr/local/bin/gawk -f # # rank-vocab -- # Given K different rankings of candidate vocabularies, and # a held-out optimization unigram count file, optimize the # combined ranking of words # # usa
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www.eeworm.com/read/125133/6032910

text overview.text

Here's a quick summary of what I'm doing -- a virtual machine for safe portable code that leaves most of the work of optimization to whoever's producing the VM code, rather than to the VM implementati
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www.eeworm.com/read/125133/6033090

text overview.text

Here's a quick summary of what I'm doing -- a virtual machine for safe portable code that leaves most of the work of optimization to whoever's producing the VM code, rather than to the VM implementati
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www.eeworm.com/read/124989/6034968

h osdep.h

#ifndef ETHERBOOT_OSDEP_H #define ETHERBOOT_OSDEP_H #define __unused __attribute__((unused)) #define __aligned __attribute__((aligned(16))) /* Optimization barrier */ /* The "volatile" is due to gcc
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www.eeworm.com/read/115011/6121213

asm eagle.asm

; ; Eagle.asm ; ; Eagle version 0.41 for NASM ; ; Written by Dirk Stevens ; ; compile with : nasm -f coff eagle.asm for use with DJGPP ; Using optimization with DJGPP and coff objects could result in
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www.eeworm.com/read/107949/6187328

f mfftp4.f

SUBROUTINE MFFTP4(EXPTAB,SPETAB,FACTAB,N,N1) * * THIS SUBROUTINE BUILDS THE TWIDDLE FACTOR TABLES FOR USE * OF MFFT?S ROUTINES (SPECIAL OPTIMIZATION FOR SMALL * DATA MATRICES); IT MU
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www.eeworm.com/read/456224/6278743

m upperbound_1var.m

% % Ch 5: Numerical Techniques - 1 D optimization % Optimzation with MATLAB, Section 5.2.4 % Generic Scanning Procedure - Single Variable % copyright Dr. P.Venkataraman % % An m-file to brack
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www.eeworm.com/read/456224/6278746

m upperbound_m1var.m

% % Ch 5: Numerical Techniques - 1 D optimization % Optimzation with MATLAB, Section 5.2.4 % Generic Scanning Procedure - Single Variable % copyright Dr. P.Venkataraman % % An m-file to brack
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www.eeworm.com/read/456224/6278797

m ex2_2.m

% Chapter 2: Optimization with Matlab % Dr. P.Venkataraman % Example 2 Sec.2.3 % % graphical solution using matlab (two design variables) % Unconstrained function illustrating global minimum
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www.eeworm.com/read/493294/6400483

m new_f_svs.m

function [frac_SV2,alf,b,svx] = new_f_svs(sigma,x,labx,frac_error,fracsv,... thiseps); % Support function for the training of the SVDD in the optimization % r
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