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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/143706/12849591

m demev3.m

%DEMEV3 Demonstrate Bayesian regression for the RBF. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by compu
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m demglm1.m

%DEMGLM1 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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m demglm2.m

%DEMGLM2 Demonstrate simple classification using a generalized linear model. % % Description % The problem consists of a two dimensional input matrix DATA and a % vector of classifications T. The da
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www.eeworm.com/read/244378/12869924

m lpvlmisol.m

%calculate the solution to the parameter-dependent output-feedback problem % vlpv: varying matrix containing "number of the point" N evalution of open % loop system matrix % % nmeas,nctrl: numb
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cpp tridiag.cpp

// How to run the procedure and plot the temperature // produce data.dat // load data.dat // plot(data) /* Tridag for solving Heat conduction problem */ // Solve the tridigonal linear equ
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pas unit1.pas

(* Notes: 1. Problem: A string contains a specific char to signal a EOS (end of string). That char being #0. Compressed data can contain this char. When the compre
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pas unit2.pas

(* Notes: 1. Problem: A string contains a specific char to signal a EOS (end of string). That char being a #0. Compressed data can contain this char. When the comp
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m demev1.m

%DEMEV1 Demonstrate Bayesian regression for the MLP. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by c
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m demhmc1.m

%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians. % % Description % The problem consists of generating data from a mixture of two % Gaussians in two dimensions using a
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www.eeworm.com/read/140851/13058996

m demev3.m

%DEMEV3 Demonstrate Bayesian regression for the RBF. % % Description % The problem consists an input variable X which sampled from a % Gaussian distribution, and a target variable T generated by c
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