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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/140697/13067091

m alg051.m

% EULER'S ALGORITHM 5.1 % % TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM: % Y' = F(T,Y), A
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www.eeworm.com/read/326691/13122814

txt 5-1301msg1.txt

Subject: sum : native speaker intuition several week ago i post a question about the current status of " native speaker intution " in our discipline . in particular , i wonder about the problem pose
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www.eeworm.com/read/241361/13152361

c psh2.c

/** prompting shell version 2 ** ** Solves the `one-shot' problem of version 1 ** Uses execvp(), but fork()s first so that the ** shell waits around to perform another command ** New probl
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www.eeworm.com/read/241192/13164299

m shootout.m

% Square root covariance filtering "shootout" on an % ill conditioned problem from P. Dyer & S. McReynolds, % "Extension of square-root filtering to include process noise" % Journal of Optimization
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www.eeworm.com/read/139222/13173181

h travel.h

/* Copyright (c) 2001 Author: Konstantin Boukreev E-mail: konstantin@mail.primorye.ru Created: 07.09.2001 17:14:06 Version: 1.0.0 Genome for Travelling Salesman Problem */
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www.eeworm.com/read/139060/13191095

todo

- - - - - - - - - - high priority - - - - - - - - - - IPv6 not working right. Problem with ACME News downloads. PATH_INFO interferes with the authorization. Why is the client's IP address showing
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m demhmc3.m

%DEMHMC3 Demonstrate Bayesian regression with Hybrid Monte Carlo sampling. % % Description % The problem consists of one input variable X and one target variable % T with data generated by samplin
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m demolgd1.m

%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent % % Description % The problem consists of one input variable X and one target variable % T with data generated by sampli
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m demkmn1.m

%DEMKMEAN Demonstrate simple clustering model trained with K-means. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian di
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m demgp.m

%DEMGP Demonstrate simple regression using a Gaussian Process. % % Description % The problem consists of one input variable X and one target variable % T. The values in X are chosen in two separat
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