
Non-Linear Programming
A Basic Introduction
Series: Mathematical Engineering, Manufacturing, and Management Sciences;
- Publisher's listprice GBP 165.00
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83 506 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 17 December 2020
- ISBN 9780367613280
- Binding Hardback
- No. of pages82 pages
- Size 234x156 mm
- Weight 453 g
- Language English
- Illustrations 9 Illustrations, black & white; 1 Tables, black & white 163
Categories
Short description:
This book is for beginners who are struggling to understand and optimize non-linear problems. The content will help readers gain an understanding and learn how to formulate real-world problems and will also give insight to many researchers for their future prospects.
MoreLong description:
This book is for beginners who are struggling to understand and optimize non-linear problems. The content will help readers gain an understanding and learn how to formulate real-world problems and will also give insight to many researchers for their future prospects.
It proposes a mind map for conceptual understanding and includes sufficient solved examples for reader comprehension. The theory is explained in a lucid way. The variety of examples are framed to raise the thinking level of the reader and the formulation of real-world problems are included in the last chapter along with applications.
The book is self-explanatory, well synchronized and written for undergraduate, post graduate and research scholars.
MoreTable of Contents:
1. One Dimensional Minimization/Maximization Problem. 2. Unconstrained Multivariable Optimization. 3. Constrained Multivariable Optimization. 4. Applications of Non-Linear Programming.
More
Non-Linear Programming: A Basic Introduction
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