代码搜索:based

找到约 10,000 项符合「based」的源代码

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txt config.txt

usage: ./configure [ variable=value ]... This configure script generates the file 'makefile' and the file '../include/NTL/config.h', based upon the values assigned to the variables on the comma
www.eeworm.com/read/219596/14874284

m summary.m

FILES IN SUPPORT OF: Model-based predictive control: a practical approach, by J.A. Rossiter These files are intended as a support to this book to enable students to investigate predictive con
www.eeworm.com/read/219464/14879778

java exraster.java

// // CLASS // ExRaster - illustrate use of rasters // // LESSON // Add Raster nodes to place image on the screen based upon // a transformed 3D coordinate // // AUTHOR // Dav
www.eeworm.com/read/219389/14882954

vlan-server

Vlan server protocol and library *draft* ======================================== telnet-based protocol. Client commands are text, server responses are numbers followed by an explicative text (like i
www.eeworm.com/read/118063/14889004

asm vidtype.asm

comment * Author: Yousuf J. Khan Purpose: To detect what type of video adapter is installed. Note: Work was based on source code inside Rich
www.eeworm.com/read/218609/14913166

m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
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m avg_distortion.m

% % function D = distortion(region, cdbk, imagesize): compute the average % distortion overall partitions based on newly generated cdbk % % % Input: % region -- cell stores "nwds" m
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m opt_filter.m

%----------------------------------------------------------------------------------------- % 本程序直接摘自文献: % S. K. Mitra. Digital Signal Processing: A Computer-Based Approach. Second Edition, %
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m opt_filter.m

%----------------------------------------------------------------------------------------- % 本程序直接摘自文献: % S. K. Mitra. Digital Signal Processing: A Computer-Based Approach. Second Edition, %
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m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O