代码搜索:Reduction

找到约 701 项符合「Reduction」的源代码

代码结果 701
www.eeworm.com/read/198039/7955766

cpp rational.cpp

//有理数类(Rational)成员函数定义 #include using std::cout; using std::endl; //有理数类(Rational)的声明 #include "Rational.h" //缺省构造函数 Rational::Rational(int n,int d) { numerator=n; deno
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m mexall.m

function mexall %MEXALL Compiles all MEX-files of the Matlab Toolbox for Dimensionality Reduction % % mexall % % Compiles all MEX-files of the Matlab Toolbox for Dimensionality Reduction. % % % Thi
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java applyobj.java

/* ================================================================ The following is an interface to the reduce() method in reduction. It requires a class with a binary function f() ========
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java applyobjunary.java

/* ================================================================ The following is an interface to the reduce() method in reduction. It requires a class with a unary function f() =========
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m modify.m

function [dBp] = modify(dB,W,n) %MODIFY: Consequence Modification: This function produce modified % consequent BMp, based on consequent matrix B and similarity % measure vector W. The meth
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m clutred.m

% Effect of RCS Reduction % in Free Space and Clutter % ------------------------ clear;clc;clf; % Input RCS Reduction RCS=0:.01:1; % Find Reductions R=RCS.^.25; % Free Space Dectio
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m erpdenb.m

% Effective Radiated Power Density % --------------------------------- clear;clc;clf; % Generate ERP Density Vector plmin=-4;plmax=6; pl=plmin:.1:plmax; pj=10.^pl; % w/Mhz % Radar and T
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cpp rational.cpp

// Chapter 8 of C++ How to Program // rational.cpp #include #include using std::cout; using std::endl; #include "rational.h" // constructor RationalNumber::Rat
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cpp rational.cpp

// rational.cpp // member function definitions for rational.cpp #include using std::cout; #include "rational.h" // constructor Rational::Rational( int n, int d ) { numera
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m sourcecode.m

% % FACE RECOGNITION BASED ON HIERARCHICAL DIMENSIONALITY REDUCTION % % In order to obtain the complete source code for FACE RECOGNITION BASED ON HIERARCHICAL DIMENSIONALITY REDUCTION % please v