Error Correction Coding - Mathematical Methods and Algorithms (Source Files Contained).pdf Error Correction Coding Mathematical Methods and Algorithms Todd K. Moon Utah State University @ E ! C I E N C E A JOHN WILEY & SONS, INC., PUBLICATION Prefac
C----------------------------------------------------------------------- program runocc C----------------------------------------------------------------------- c C OCCAM 2.0: Steven Constable IGPP/SIO La Jolla CA 92093-0225 c Program Revision 2.01,
function [A_hat E_hat iter] = exact_alm_rpca(D, lambda, tol, maxIter) % Oct 2009 % This matlab code implements the augmented Lagrange multiplier method for % Robust PCA. % % D - m x n matrix of observations/data (required input)
1 Preliminaries 3 1.1 A Bit of History 4 1.2 Introduction 7 1.3 Motivation 8 1.3.1 Optics 8 1.3.2 Shape of a Liquid Drop 10 1.3.3 Optimization of a River-Crossing Trajectory 12 1.3.4 Summary 14 1.4 Extrema of Functions 14 1.5 Constrained Extrema and
Preface ix Chapter 1 Introduction to Design 1 1.1 The Design Process 2 1.2 Engineering Design versus Engineering Analysis 4 1.3 Conventional versus Optimum Design Process 4 1.4 Optimum Design versus Optimal Control 6 1.5 Basic Terminology and Notati
Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research
This book is about constrained optimization. It begins with a thorough treatment of linear programming and proceeds to convex analysis, network flows, integer
programming, quadratic programming, and convex optimization. Along the way,
dynamic program
