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/337307/12377738
m polyfit.m
function [p,S] = polyfit(x,y,n)
%p=polyfit(x,y,k)用k次多项式拟合向量数据(x,y)
%p返回多项式的降幂系数.当k>=n-1时,polyfit实现多项式插值.
%例如 用二次多项式拟合数据
% x | 0.1 0.2 0.15 0.0 -0.2 0.3
% --|-----------------------------
www.eeworm.com/read/250804/12383974
m afd_source.m
function [wavefield,z,x]=afd_source(xmax,zmax,delx,nsource,xsource,zsource,sz,default,smatrix)
% AFD_SOURCE ... generates a source array for uses with AFD_SEISMO
%
% AFD_SOURCE generates a source
www.eeworm.com/read/250804/12384037
m del2_9pt.m
function [output]=del2_9pt(input,delx);
% DEL2_9PT ... compute the 9 point Laplacian
%
% [output]=del2_9pt(input,delx)
%
% DEL2_9PT computes the 9 point approximation to the laplacian operator o
www.eeworm.com/read/337098/12391206
py analyse_file.py
#! /usr/bin/env python
import os
import sys
#
#
#
#zc030x Register map
#-------------------
#0x01d to 0x020 HSYNC/VSYNC (same values as hv7131b)
#0x090 to 0x094: i2c bus control
#0x10a to 0x112: A 3
www.eeworm.com/read/250225/12423166
m sizem.m
function s = sizem(m, dims)
% DESCRIPTION res = sizem(m, dims)
% For a matrix m the size is given for each element of dims.
% Dims is the dimensions for which the size is determined.
% If dims is
www.eeworm.com/read/250225/12423221
m sizem_.m
function s = sizem_(m, dims)
% DESCRIPTION res = sizem_(m, dims)
% For a matrix m the size is given for each element of dims.
% Dims is the dimensions for which the size is determined.
% If dims i
www.eeworm.com/read/148789/12425809
r kernels.r
# Define the kernel objects,
# functions with an additional slot for the kernel parameter list.
setClass("kernel",representation("function",kpar="list"))
rbfdot
www.eeworm.com/read/148789/12425831
rd chol.reduce.rd
\name{chol.reduce}
\alias{chol.reduce}
%- Also NEED an '\alias' for EACH other topic documented here.
\title{Incomplete Cholesky decomposition}
\description{
\code{chol.reduce} computes the incomple
www.eeworm.com/read/148789/12425857
rd predict.ksvm.rd
\name{predict.ksvm}
\alias{predict.ksvm}
\alias{predict,ksvm-method}
\title{predict method for support vector object}
\description{Prediction of test data using support vector machines}
\usage{
\S
www.eeworm.com/read/336521/12439443
m rotqc2mc.m
function mc=rotqc2mc(qc)
%ROTQC2MC converts a matrix of complex quaternion vectors to quaternion matrices
% Inputs:
%
% QC(2m,n) mxn matrix of real quaternion vectors (each 2x1)
%
% Outpu