Science & Math | Mathematics
Foundations of Mathematical Optimization
2020-09-19 11:18:39
image1
COMPARE PRICE
Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this cas... Read more
Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization. Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization. Less
  • ISBN
  • 9789401715881
autor-image
Anonymous
Author
-...
Compare Prices
image
Buy GBP 159.0
Available Discount
12 % OFF
12% off Academic Book Titles (ebooks.com)
Show Coupon Code

See More Details

Description: Back to School Promotion at eBooks.com. 12% off Academic book titles. Landing page is on our academics category page. Static image.

10 % OFF
Save 10% OFF on Student Text Books (ebooks.com)
Show Coupon Code

See More Details

Description: Purchase textbooks at student discounts!

20 % OFF
20% Off on selected Categories
Show Coupon Code

See More Details

Description: 20% Off these Categories- Body Mind & Spirit, Family & Relationships, Foreign Language Study, History, Sports & Recreation. Offer Lasts all through January.

Related Books
view all
image1
Topics in Computational Number Theory Inspired by Peter L. Montgomery:
image1
Set Theory An Introduction To Independence Proofs:
image1
99 Variations on a Proof:
image1
Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications:
image1
Introduction to Lie Groups and Lie Algebra, 51:
image1
Bayesian Inference for Stochastic Processes:
image1
An Introduction to Generalized Linear Models:
image1
Trigonometry Essentials Practice Workbook with Answers:
image1
Intermediate Algebra & Analytic Geometry:
image1
Solving Problems in Geometry:
image1
A Treatise on Probability:
image1
How to Think Like a Mathematician:
image1
Mathematical Modeling and Applied Calculus:
image1
Introduction to Mathematical Philosophy:
image1
The King of Infinite Space : Euclid and His Elements:
image1
Analyzing Longitudinal Clinical Trial Data:
image1
College Algebra:
image1
Time Series Analysis with Long Memory in View:
image1
Deductive Logic:
image1
College Placement Math Success in 20 Minutes a Day:
image1
Applied Linear Algebra:
image1
Probability:
image1
Orthogonal Polynomials and Painlevé Equations:
image1
The Earliest Arithmetics in English:
image1
The philosophy of mathematics:

Stay in touch.

© 2024 AMPLE READS