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热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
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ml fft.ml

(* A Staged Implementation of FFT Author: Walid Taha, Oleg Kiselyov, Kedar N. Swadi Date: Thu Jul 8 20:24:46 CDT 2004 Problem: See "A Methodology for Generating Verified
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java lostmessagefound19.java

// exceptions/LostMessageFound19.java // TIJ4 Chapter Exceptions, Exercise 19, page 479 // Repair the problem in LostMessage.java by guarding the call in the // finally clause. class VeryImporta
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htm stringbufferexample.htm

Example Note: The latest versions of Firefox seem to have fixed the string concatenation problem. If you are using Firefox 1.0 or l
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m legsn.m

function [f,dfdt] = legsn(theta) % legsn Evaluate f(theta) and fprime(theta) for the picnic leg problem. % Used with the Newton's method. % % Synopsis: [f,dfdt] = legsn(theta) % % Input
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m testdich.m

function [X,I,alpha,theta] = testdich( dim, datanum ) % TESTDICH randomly creates test examples for dichotomy problem. % [X,I] = testgidich( dim, datanum ) % % TESTDICH creats test data randomly for
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m ip_03_11.m

% MATLAB script for Illustrative Problem 3.11. % Demonstration script for frequency modulation. The message signal % is m(t)=sinc(100t). echo on t0=.2; % signal dura
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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 sampling X
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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 sampling X
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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 separated c
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m demhmc2.m

%DEMHMC2 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 sampling X
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