Can I read Linear Programming with MATLAB (MPS-SIAM Series on Optimization, Series Number 7) on EtoBox?

Linear Programming with MATLAB (MPS-SIAM Series on Optimization, Series Number 7) by Michael C. Ferris, Olvi L. Mangasarian, Stephen J. Wright is a mathematics available to read on EtoBox.

What is Linear Programming with MATLAB (MPS-SIAM Series on Optimization, Series Number 7) about?

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.

Who reads Linear Programming with MATLAB (MPS-SIAM Series on Optimization, Series Number 7)?

Author

Michael C. Ferris, Olvi L. Mangasarian, Stephen J. Wright

Publisher

SIAM, Society for Industrial and Applied Mathematics ; MPS, Mathematical Programming Society

Published

2007

Language

EN

ISBN

9780898716436

Category

mathematics

Subjects

Mathematics, Computer Science, Programming

Rating

3.2 / 5 (5 ratings)

Updated

2026-03-14