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
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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 % (