代码搜索:decomposition

找到约 1,689 项符合「decomposition」的源代码

代码结果 1,689
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txt chodcm.txt

procedure CHODCM(A:matrx2; N:integer;var D:array of real; T:array of real); var I,J,K:integer; SUM:real; begin For I:=1 To N do begin Sum:=A[I, I]; For J:=1 To I -
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txt chodcm.txt

procedure CHODCM(A:matrx2; N:integer;var D:array of real; T:array of real); var I,J,K:integer; SUM:real; begin For I:=1 To N do begin Sum:=A[I, I]; For J:=1 To I -
www.eeworm.com/read/426833/8996524

m dd2.m

function Y=dd2(x) %DD2 Single-level discrete 2-D wavelet transform. % DD2 performs a single-level 2-D wavelet decomposition % using Daubechies wavelet with four coefficients % % Y = DD2(X)
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txt chodcm.txt

procedure CHODCM(A:matrx2; N:integer;var D:array of real; T:array of real); var I,J,K:integer; SUM:real; begin For I:=1 To N do begin Sum:=A[I, I]; For J:=1 To I -
www.eeworm.com/read/424743/10420335

m subobjective.m

function obj = subobjective(weight, ind, idealpoint, method) %SUBOBJECTIVE function evaluate a point's objective with a given method of %decomposition. % Two method are implemented by far is Weigh
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vb matrixdecompositions.vb

' The GeneralMatrix and DoubleVector classes resides in the ' Extreme.Mathematics.LinearAlgebra namespace. Imports Extreme.Mathematics.LinearAlgebra Namespace Extreme.Mathematics.QuickStart.VB
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txt chodcm.txt

procedure CHODCM(A:matrx2; N:integer;var D:array of real; T:array of real); var I,J,K:integer; SUM:real; begin For I:=1 To N do begin Sum:=A[I, I]; For J:=1 To I -
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m testchol.m

% % testchol.m % % % Use the Cholesky decomposition decomposition % to solve a linear system with symmetric positive % definite matrix. % % A = [ 16 4 8 4 4 10 8 4 8 8 12 10
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m ldlt.m

function [A,iflag] = ldlt( A ) % % Usage: % [A,iflag] = ldlt( A ) % % Given a symmetric N by N matrix A, LDLT attempts % to compute the LDL^T decomposition of A. % % % input: % A:
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m tridiagldlsl.m

% % tridiagLDLsl.m % % Compute the solution of the symmetric tridiagonal linear system % A x = b % The LDL^T decomposition without pivoting of the symmetric tridiagonal % matrix A has to be comp