代码搜索:Matrices

找到约 3,616 项符合「Matrices」的源代码

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as matrix3d.as

package org.papervision3d.core.math { import org.papervision3d.Papervision3D; /** * The Matrix3D class lets you create and manipulate 4x3 3D transformation matrices. */ public class Matrix3D
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m cum2x.m

function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag) %CUM2X Cross-covariance % y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag) % x,y - data vectors/matrices with identical dimensi
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svn-base normalise.m.svn-base

function [normalisedX1, normalisedX2] = normalise(X1, X2) % Normalise the features (columns) of matrices X1 (and optionally X2) such that % each feature of X1 has unit norm. X1 and X2 have examples
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as matrix3d.as

package org.papervision3d.core.math { import org.papervision3d.Papervision3D; /** * The Matrix3D class lets you create and manipulate 4x3 3D transformation matrices. */ public class Matrix3D
www.eeworm.com/read/359369/2978576

m mlpunpack.m

function [W1, B1, W2, B2, W3, B3, W4, B4] = mlpunpack(nodes, wh) % MLPUNPACK ReBEL MLP neural network weight matrices de-vectorizer. % % This function unpacks the parameters (weights and biases) of
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m mean.m

function y = mean(x,dim) %函数定义行,注意函数名称必须与文件名称相同 %MEAN Average or mean value.——H1帮助行 % For vectors, MEAN(X) is the mean value of the elements in X. For % matrices, MEAN(X) is a row vector con
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c matmult.c

/* ** Multiply two matrices together. */ void matrix_multiply( int *m1, int *m2, register int *r, int x, int y, int z ) { register int *m1p; register int *m2p; register int k; int
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m mean.m

function y = mean(x,dim) %函数定义行,注意函数名称必须与文件名称相同 %MEAN Average or mean value.——H1帮助行 % For vectors, MEAN(X) is the mean value of the elements in X. For % matrices, MEAN(X) is a row vector con
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m vtb7_5.m

function [freqout,recep,mobil,inert]=vtb7_5(M,D,K,numin,numout,freq) %VTB7_5 Transfer Function from second order system matrices. % [Freq,Recep,Mobil,Inert] = VTB7_5(M,D,K,NUMIN,NUMOUT,Freq) % return
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m mean.m

function y = mean(x,dim) %函数定义行,注意函数名称必须与文件名称相同 %MEAN Average or mean value.——H1帮助行 % For vectors, MEAN(X) is the mean value of the elements in X. For % matrices, MEAN(X) is a row vector con