Cantitate/Preț
Produs

Proceedings of the Princeton Symposium on Mathematical Programming: Princeton Legacy Library

Autor Harold William Kuhn
en Limba Engleză Hardback – 18 apr 2016
This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty.
Originally published in 1971. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 74068 lei  6-8 săpt.
  Princeton University Press – 15 feb 2015 74068 lei  6-8 săpt.
Hardback (1) 195704 lei  6-8 săpt.
  Princeton University Press – 18 apr 2016 195704 lei  6-8 săpt.

Din seria Princeton Legacy Library

Preț: 195704 lei

Preț vechi: 254161 lei
-23% Nou

Puncte Express: 2936

Preț estimativ în valută:
37448 39179$ 31108£

Carte tipărită la comandă

Livrare economică 03-17 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780691647463
ISBN-10: 0691647461
Pagini: 628
Dimensiuni: 185 x 261 x 38 mm
Greutate: 1.29 kg
Editura: Princeton University Press
Seria Princeton Legacy Library


Descriere

This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty. Originally published in 1971. The Pri