Cantitate/Preț
Produs

Introduction to Nonlinear Optimization Theory, Algorithms, and Applications with MATLAB: MOS-SIAM Series on Optimization

Autor Amir Beck
en Limba Engleză Paperback – 29 ian 2015
The three pillars of optimization theory - theoretical and algorithmic foundation, familiarity with applications, and the ability to apply theory and algorithms to actual problems - are combined in this book, which rigorously and gradually builds the connection between theory, algorithms, applications, and implementation. Readers will find more than 170 exercises that deepen and enhance the reader's understanding of the topics. The author includes several subjects not typically found in optimization books, including optimality conditions in sparsity-constrained optimization, hidden convexity, and total least squares. It also offers a large number of applications, such as circle fitting, the Fermat–Weber problem, denoising, clustering, and orthogonal regression. Theoretical and algorithmic topics are demonstrated by the MATLAB toolbox CVX and a package of m-files posted on the book's website. This book is intended for students of mathematics, computer science, and engineering at the advanced undergraduate level plus.
Citește tot Restrânge

Preț: 34169 lei

Preț vechi: 80878 lei
-57%

Puncte Express: 513

Preț estimativ în valută:
6546 7107$ 5614£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781611973648
ISBN-10: 1611973643
Pagini: 290
Dimensiuni: 174 x 247 x 13 mm
Greutate: 0.05 kg
Editura: Society for Industrial and Applied Mathematics
Colecția Society for Industrial and Applied Mathematics
Seria MOS-SIAM Series on Optimization

Locul publicării:Cambridge, United Kingdom

Cuprins

Preface; 1. Mathematical preliminaries; 2. Optimality conditions for unconstrained optimization; 3. Least squares; 4. The gradient method; 5. Newton's method; 6. Convex sets; 7. Convex functions; 8. Convex optimization; 9. Optimization over a convex set; 10. Optimality conditions for linearly constrained problems; 11. The KKT conditions; 12. Duality; Bibliographic notes; Bibliography; Index.

Descriere

A book which builds connections between the theory, algorithms and applications of optimization theory, with MATLAB files and plentiful exercises.