代码搜索:Numerical
找到约 2,441 项符合「Numerical」的源代码
代码结果 2,441
www.eeworm.com/read/305390/13772275
m taylor.m
function T4=taylor(df,a,b,ya,M)
%Input - df=[y' y'' y''' y''''] where y'=f(t,y)
% - a and b are the left and right endpoints
% - ya is the initial condition y(a)
%
www.eeworm.com/read/305390/13772283
m tpcoeff.m
function [A,B]=tpcoeff(X,Y,M)
%Input - X is a vector of equally spaced abscisssas in [-pi, pi]
% - Y is a vector of ordinates
% - M is the degree of the trigomometric poly
www.eeworm.com/read/305390/13772290
m srule.m
function Z=srule(f,a0,b0,tol0)
%Input - f is the integrand
% - a0 and b0 are upper and lower limits of integration
% - tol0 is the tolerance
% Output - Z is a 1 x 6 vecto
www.eeworm.com/read/305390/13772295
m heun.m
function H=heun(f,a,b,ya,M)
%Input - y'= f is the function
% - a and b are the left and right endpoints
% - ya is the initial condition y(a)
% - M is the number o
www.eeworm.com/read/305390/13772300
m cheby.m
function [C,X,Y]=cheby(fun,n,a,b)
%Input - fun is the function to be approximated
% - n is the degree of the Chebyshev interpolating polynomial
% - a is the left endpoint
www.eeworm.com/read/305390/13772308
m abm.m
function A=abm(f,T,Y)
%Input - f is the function
% - T is the vector of abscissas
% - Y is the vector of ordinates
%Remark. The first four coordinates of T and Y must
%
www.eeworm.com/read/305390/13772314
m invpow.m
function [lambda,V]=invpow(A,X,alpha,epsilon,max1)
%Input - A is an nxn matrix
% - X is the nx1 starting vector
% - alpha is the given shift
% - epsilon is the tol
www.eeworm.com/read/305390/13772317
m uptrbk.m
function X = uptrbk(A,B)
%Input - A is an N x N nonsingular matrix
% - B is an N x 1 matrix
%Output - X is an N x 1 matrix containing the solution to AX=B.
% NUMERICAL METHODS: Matlab P
www.eeworm.com/read/305390/13772319
m rk4.m
function R=rk4(f,a,b,ya,M)
%Input - f is the function
% - a and b are the left and right endpoints
% - ya is the initial condition y(a)
% - M is the number of ste
www.eeworm.com/read/305390/13772320
m lufact.m
function X = lufact(A,B)
%Input - A is an N x N matrix
% - B is an N x 1 matrix
%Output - X is an N x 1 matrix containing the solution to AX = B.
% NUMERICAL METHODS: Matlab Programs
% (