£108.78

Springer Foundations of Mathematical Optimization - Vol 388

Name: Springer Foundations of Mathematical Optimization - Vol 388
Brand: Springer
Price: 108.78 GBP
Availability: InStock

Applied Mathematics

It has never been this cheap. We have no record of a lower price.

£109 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 20 days • 20 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 20 days • 1 price levels

Days at Price

Price Analysis

Most common price: £109 (20 days, 100.0%)

Price range: £109 - £109

Price levels: 1 different prices over 20 days

Description

Expand your understanding of advanced mathematics with Foundations of Mathematical Optimization: Convex Analysis without Linearity. Published by Springer as part of the Mathematics and Its Applications series, this volume provides a unique perspective on optimization theory. While many standard texts focus solely on finite dimensional spaces, this book introduces optimization in spaces without linear structure during its first three chapters. This text builds a foundation for convex analysis in these non-linear environments, presenting many new results developed specifically for this publication. Readers will explore optimization within infinite topological and normed vector spaces. The work introduces novel methodologies, such as using the drop property for the weak well-posedness of linear problems in Banach spaces. It also presents a unified approach through the Dolecki approximation. This book serves as a specialized resource for those studying applied mathematics, offering deep insights into complex mathematical structures and new theoretical frameworks.

Key Features

Explores optimization in spaces without linear structure to provide a unique perspective beyond standard finite dimensional approaches.

Includes many new results proved specifically for this publication to support advanced mathematical research.

Covers optimization in infinite topological and normed vector spaces for a comprehensive study of mathematical theory.

Utilizes the drop property for the weak well-posedness of linear problems in Banach spaces.

Provides a unified approach to mathematical problems through the use of the Dolecki approximation.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9048148006
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 07 December 2010
Listed Since: 20 September 2010

Barcode

No barcode data available

Springer Foundations of Mathematical Optimization - Vol 388

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Topics in Nonconvex Optimization: Theory and Applications: 50 (Nonconvex Optimization and Its Applications, 50)

Mathematical Methods of Optimization

Classical And Modern Optimization: 0 (Advanced Textbooks In Mathematics)

High Performance Optimization: 33 (Applied Optimization, 33)

Classical And Modern Optimization: 0 (Advanced Textbooks In Mathematics)

Convexity and Optimization in Banach Spaces (Springer Monographs in Mathematics)

Convexity and Optimization in Banach Spaces (Springer Monographs in Mathematics)

Lectures on Convex Optimization: 137 (Springer Optimization and Its Applications, 137)

Introduction to Optimization and Semidifferential Calculus: 12 (MPS-SIAM Series on Optimization, Series Number 12)

Optimization Models

Strict Convexity and Complex Strict Convexity: Theory and Applications: 89 (Lecture Notes in Pure and Applied Mathematics)

Essential Mathematics for Convex Optimization

Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators

Recent Advances in Optimization and its Applications in Engineering

Convex Optimization

Nonlinear Optimization

Convex Analysis and Nonlinear Optimization: Theory and Examples (CMS Books in Mathematics)

Vector Optimization and Monotone Operators via Convex Duality: Recent Advances

Convex Optimization with Computational Errors: 155 (Springer Optimization and Its Applications, 155)

Convex Optimization in Normed Spaces: Theory, Methods and Examples (SpringerBriefs in Optimization)

Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects: 47 (Nonconvex Optimization and Its Applications, 47)

Basic Concepts of Global Optimization: 5 (Mathematics Study Resources, 5)

Optimization Theory and Applications (Advanced Lectures in Mathematics)

Introduction to Online Convex Optimization (Foundations and Trends (R) in Optimization)