Linear Programming with MATLAB (MPS-SIAM Series on Optimization)

Details:
This textbook provides a self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems. Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, nonlinear functions, and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming.

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A Guide to MATLAB Object Oriented Programming

The organization of this book breaks MATLAB object-oriented programming into three sections.

*The first section covers the required elements and focuses on developing a set of functions that
give MATLAB objects first-class status within the environment.

*The second section builds on the first by developing strategies and implementations that allow
the construction of hierarchies without compromises. Such hierarchies are important for achieving
true object-oriented programming.

*The third section discusses advanced strategies and introduces some useful utilities. Advanced
strategies include, among others, type-based function selection, also known as polymorphism;
passing arguments by reference instead of by value; replacing function handle with an
object; and a utility for rapid object-oriented code development.

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