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h tiffconf.h

/* $Header: /cvsroot/osrs/libtiff/libtiff/tiffconf.h,v 1.7 2002/07/31 20:55:12 warmerda Exp $ */ /* * Copyright (c) 1988-1997 Sam Leffler * Copyright (c) 1991-1997 Silicon Graphics, Inc. * *
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m contents.m

% Genetic Optimization Toolbox % % Main interface % ga.m The Genetic Algorithm % initializega.m Initialization function for float and binary % repres
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m contents.m

% Classification GUI and toolbox % Version 1.0 % % GUI start commands % % classifier - Start the classification GUI % enter_distributions - Starts the parameter input screen (used by classif
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htm chap30.htm

Intro to Algorithms: CHAPTER 30: ALGORITHMS FOR PARALLEL COMPUTERS
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htm partvi.htm

Intro to Algorithms: PART VI: Graph Algorithms
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htm chap01.htm

Intro to Algorithms: CHAPTER 1: INTRODUCTION
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m a3_i.m

echo on; clc; %--------------------------------------------------------------------------- %A3_i MATLAB script file for implementing Algorithm 3.i % % NUMERICAL METHODS: MATLAB Programs, (c) Joh
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m aledemo.m

%% Adaptive Line Enhancer (ALE) % This demonstration illustrates the application of adaptive filters to % signal separation using a structure called an adaptive line enhancer % (ALE). In adaptive li
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m hybridsynthesizerec.m

function error = hybridsynthesizerec(data,overlap,patchlist) % % |----------------------------------------------------------| % | Hybrid Texture Synthesis MATLAB package | % |
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m demo_mri.m

function demo_MRI % MRI demo: Reconstruction from noisy random projections % % This demo illustrates the twIST algorithm computing the solution of % % xe = arg min 0.5*||A x-y||^2 + tau TV(x),