代码搜索:Matrices

找到约 3,616 项符合「Matrices」的源代码

代码结果 3,616
www.eeworm.com/read/237004/13981622

cc lu_solve.cc

/* thanks to Valient Gough for this example program! */ #include #include #include #include using namespace mtl; // don't print out the matrices
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pas ufunc.pas

unit uFunc; interface uses FMath, Matrices; function Func1(X : TVector) : Float; function Func2(X : TVector) : Float; function Func3(X : TVector) : Float; function Func4(X : TVe
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m kron.m

function Q = kron(P1,P2) % KRON -- Kronecker product of matrix polynomials % % Q = kron(P1,P2) % % To visualize this, it helps to think of P1, P2 as matrices with % polynomial entries,
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m randncond.m

% RANDNCOND Condition of random matrices nmax = 100; n = 2:nmax; kappalo = n.^(1/2); kappahi = 500*n.^3; shg clf reset h = loglog(n,[kappalo; kappahi],'-',nmax,NaN,'.'); set(h(1:2),'color
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m min.m

%列状数据最小值 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % min(A) % %MIN Smallest component. % For vectors, MIN(X) is the smallest element in X. For matrices, % MIN(X) is a row vector contain
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m max.m

%列状数据最大值 %例如 % A=[11 4 0.2;22 3 0.5;0 3 0.4]; % max(A) % %MAX Largest component. % For vectors, MAX(X) is the largest element in X. For matrices, % MAX(X) is a row vector containin
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m kron.m

function Q = kron(P1,P2) % KRON -- Kronecker product of matrix polynomials % % Q = kron(P1,P2) % % To visualize this, it helps to think of P1, P2 as matrices with % polynomial entries,
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cpp maddct2.cpp

// simplified step count for matrix addition #include #include "make2db.h" int count = 0; template void Add( T **a, T **b, T **c, int rows, int cols) {// Add matrices
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cpp maddct1.cpp

// step count for matrix addition #include #include "make2db.h" int count = 0; template void Add( T **a, T **b, T **c, int rows, int cols) {// Add matrices a and b to
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m xy2inout.m

function result=xy2inout(x,y) %XY2INOUT Transforms matrices into a GPLAB algorithm data set (input and output). % XY2INOUT(X,Y) returns a struct array with input and desired output % data fo