代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/192030/8410821
m mpolyval.m
function Y = mpolyval(P,X)
% MPOLYVAL - evaluate matrix polynomial
%
% Y = mpolyval(P,X)
%
% If X is a numerical or symbolic array, evaluate the matrix polynomial P
% at these values.
www.eeworm.com/read/192030/8410918
m set.m
function P = set(P,varargin)
% SET - set field of matrix polynomial
%
% P = set(P,'field1',value1,'field2',value2,...)
%
% This is the same as
%
% P.field1 = value1;
%
www.eeworm.com/read/192030/8410953
m tril.m
function P = tril(P,varargin)
% TRIL -- set upper triangle in matrix polynomial to zero
%
% P = tril(P)
% P = tril(P,k)
%
% Set all values above the kth diagonal to zero. This ex
www.eeworm.com/read/291380/8422320
m ssainv.m
function xr=SSAinv(pc,v,tau,k)
%Syntax: xr=SSAinv(pc,v,tau,k)
%_____________________________
%
% The inverse of Singular Spectrum Analysis for a time series.
%
% xr is the reconstructed time ser
www.eeworm.com/read/291161/8439249
m nlgen.m
function y = nlgen (x, h, q)
%NLGEN generates the output of a second order Volterra system
% y = nlgen (x, h, q)
% y(n) = sum_{k} h(k) x(n-k) + sum_{k} sum_{l} q(k,l) x(n-k)x(n-l)
% the
www.eeworm.com/read/190459/8443033
m validate.m
function [cost,nmodel,output] = validate(model, Xtrain, Ytrain, Xtest, Ytest,estfct, trainfct, simfct)
% Validate a trained model on a fixed validation set
%
% >> cost = validate({X,Y,type,gam,sig2}
www.eeworm.com/read/290989/8445741
pas pascal源代码.pas
Const
max=100;
type
matrix=array[1..max,1..max+1] of integer;
var
d:array[0..max] of matrix;
i,j,k,t,n:integer;
Function mark(i,j:integer):shortint;
begin
if odd(i+j) then mark:=-1
www.eeworm.com/read/189737/8456526
bak ebk&nvsunits.bak
unit LinAlg
tred2 - Householder (tridiagonal) reduction of a real, symmetric matrix }
tqli - QL diagonalization algorithm with implicit shifts for a real tridiaginal symmetric matrix .
Order - S
www.eeworm.com/read/189737/8456541
txt ebk&nvsunits.txt
unit MathTypes
- definitions of vectors and matrices of various types
- memory management routines
unit LinAlg
tred2 - Householder (tridiagonal) reduction of a real, symmetric matrix }
tqli
www.eeworm.com/read/189658/8459559
m lyapunovexponentbyslope.m
% Below the power method will be applied to the jacobian matrix of the
% 2-D henon map to approximate the first Lyapunov exponent by creating
% a graph of ln|yn| vs. n, where n is the number of iter