Jiongmin Yong Author
Biography not available.
Browse all ART CRITICISM books
Browse all Ashworth books
Browse all BUSINESS AND ECONOMICS books
Browse all FOLKLORE books
Browse all GARDENS books
Browse all GRAPHIC NOVELS books
Browse all HISTORY - MEDIEVAL books
Browse all HUMOUR books
Browse all Juvenile Fiction : Biographical - Other books
Browse all Juvenile Fiction : Historical - Other books
Browse all Juvenile Fiction : Legends, Myths, & Fables - Other books
Browse all Juvenile Fiction : People & Places - Other books
Browse all Juvenile Fiction : People & Places - United States - Other books
Browse all Juvenile Fiction : Religious - Other books
Browse all Juvenile Nonfiction : History - Other books
Browse all Juvenile Nonfiction : Mathematics - Advanced books
Browse all Juvenile Nonfiction : People & Places - Other books
Browse all Juvenile Nonfiction : People & Places - United States - Othe books
Browse all KINDRED books
Browse all LITERARY STUDIES books
Browse all LONDON books
Browse all Lozada books
Browse all Medical : Nursing - Mental Health books
Browse all MIND books
Browse all MUSEOLOGY books
Browse all NON-CLASSIFIABLE books
Browse all NONLINEAR SCIENCE books
Browse all POPULAR SCIENCE books
Browse all RELIGIOUS STUDIES books
Browse all SPIRIT books
Browse all SPORT books
Browse all TRAVEL WRITING books
Out of Stock
Paperback · ISBN 9780000988935
Inclusive of GST and other taxes
Arriving at your doorstep in 2-3 days
Our logisitcs team will make sure everyitem is delivered safely
| ISBN | 9780000988935 |
|---|---|
| Publisher | World Scientific |
| Language | English |
| Page count | 236 |
Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush–Kuhn–Tucker method, Fritz John’s method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method. A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a onesemester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization.
Log in to write a review for this book.
No reviews yet. Be the first to share your opinion.
Biography not available.