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 one-semester 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.
General
Imprint: |
World Scientific Publishing Co Pte Ltd
|
Country of origin: |
Singapore |
Release date: |
July 2018 |
First published: |
2018 |
Authors: |
Jiongmin Yong
|
Dimensions: |
159 x 235 x 22mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
236 |
ISBN-13: |
978-981-3237-64-3 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Optimization >
General
|
LSN: |
981-3237-64-3 |
Barcode: |
9789813237643 |
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