代码搜索:linear

找到约 10,000 项符合「linear」的源代码

代码结果 10,000
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f90 linear.f90

program main use IMSL implicit none real :: A(3,3) = (/ 1,3,2,& 1,2,1,& 2,1,3 /) real :: B(3,1) = (/ 4,6,6 /) real :: X(3,1) call lin_sol_gen(A,B,X)
www.eeworm.com/read/373249/9467861

m linear_regression.m

function [muY, SigmaY, weightsY] = linear_regression(X, Y, varargin) % LINEAR_REGRESSION Fit params for P(Y|X) = N(Y; W X + mu, Sigma) % % X(:, t) is the t'th input example % Y(:, t) is the t't
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m linear302.m

%% Training a Linear Neuron % A linear neuron is trained to respond to specific inputs with target outputs. % % Copyright 1992-2002 The MathWorks, Inc. % $Revision: 1.14 $ $Date: 2002/03/29 19:36
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m linear_events.m

function [d,t,h] = linear_events(dt,f0,tmax,h,tau,p,amp,snr,L); %LINEAR_EVENTS: A program to generate data containing linear events. % % [d] = linear_events(dt,f0,tmax,h,tau,p,amp,snr,L); % % IN d
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c natgrid_linear.c

#include /* Function prototype for c_natgrids */ extern float *c_natgrids(int, float [], float [], float [], int, int, float [], float [], int *); /* Specify numb
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m linear_array.m

function [theta,patternr,patterng] = linear_array(Nr,dolr,theta0,winid,win,nbits); % This function computes and returns the gain radiation pattern for a linear array % It uses the FFT to computes th
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m linear_dyn.m

% linear_dyn.m % returns an offset that can be added to data that increases linearly with % time, based on cputime, first time it is called is start time % % equation is: offset = (cputime - tnot)
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m linear_dyn.m

% linear_dyn.m % returns an offset that can be added to data that increases linearly with % time, based on cputime, first time it is called is start time % % equation is: offset = (cputime - tnot)
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mdl linear_motor.mdl

Model { Name "linear_motor" Version 4.00 SampleTimeColors off LibraryLinkDisplay "none" WideLines off ShowLineDimensions off ShowPortDataTypes off RecordCover
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m exp_linear.m

%指数函数与线性函数的交点 function y=exp_linear(x,a,b) y=exp(x)+a*x-b;