代码搜索：evalution
找到约 18 项符合「evalution」的源代码
代码结果 18
www.eeworm.com/read/154509/5637244
txt 算法 4.4.txt
算法 4.4
double evaluation( char suffix[] ){
// 本函数返回由后缀式suffix表示的表达式的运算结果
ch = *suffix++; InitStack(S); // 设置空栈S
while ( ch != 2#2 ) {
if (!OpMember(ch)) Push(S, c
www.eeworm.com/read/227264/4776206
java debencodedata.java
/**
* Description: An double array with two elements for goodness evalution
* First: for Constraints
* Second: for Objective funtions
* $the frontial is more important
*
* @ Author Create
www.eeworm.com/read/410455/11286340
c lm_eval.c
/*
* Project: LevenbergMarquardtLeastSquaresFitting
*
* File: lm_eval.c
*
* Contents: Default implementation of
* - user-defined data evalution function,
* - user-defi
www.eeworm.com/read/112428/15485859
c lights.c
/*
** This example is designed to use with the 196EA evalution board.
** It displays different patterns using vertical windowing.
*/
/* Include the model dependent SFR include file */
#include
www.eeworm.com/read/244378/12869924
m lpvlmisol.m
%calculate the solution to the parameter-dependent output-feedback problem
% vlpv: varying matrix containing "number of the point" N evalution of open
% loop system matrix
%
% nmeas,nctrl: numb
www.eeworm.com/read/389321/8533541
m denoise_pdtdfb_bishrink.m
% denoising evalution of different curvelet/contourlet implementation
close all; clear all;
im = double(imread('lena512.bmp'));
s = 512;
sigma = 20; % NV(in);
noise = randn(size(im));
noise = sigma.
www.eeworm.com/read/389321/8533592
m demo_phase.m
% denoising evalution of different curvelet/contourlet implementation
close all; clear all;
im = double(imread('lena512.bmp'));
s = 512;
sigma = 20; % NV(in);
noise = randn(size(im));
noise = sigma.
www.eeworm.com/read/425848/10315442
txt ewarm530lic.txt
5301 evalution:
license:
9611-251-553-6863
licensekey:
1TDLBQ6TDRAT1YCRNAV7CABLK49YR6CV3C90PKKI9KWICGV52TAKOYFBQCPC7N89QB1Z0PTWBTHWSB85F0Y2ZUQ7OOEWNRSYYKSI5BJHNOC4BI0RHYURMCWSOKN51HN5KNR3IYA4TVO