Convexity and Optimization in Finite Dimensions I: 163 (Grundlehren der mathematischen Wissenschaften, 163) - Image 1

£63.99

Springer Convexity and Optimization in Finite Dimensions I: 163 (Grundlehren der mathematischen Wissenschaften, 163)

Name: Convexity and Optimization in Finite Dimensions I: 163 (Grundlehren der mathematischen Wissenschaften, 163)
Brand: Springer
Price: 63.99 GBP
Availability: InStock

Discrete Mathematics

This is the usual price. Wait for it to drop, or tell us your number.

£64 today · usual range £0–£0 · best ever £59

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 639 days • 639 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 639 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £62-64 (436 days, 68.2%)

Price range: £59 - £72

Price levels: 5 price ranges over 639 days

Description

Dantzig's development of linear programming into one of the most applicable optimization techniques has spread interest in the algebra of linear inequalities, the geometry of polyhedra, the topology of convex sets, and the analysis of convex functions. It is the goal of this volume to provide a synopsis of these topics, and thereby the theoretical back ground for the arithmetic of convex optimization to be treated in a sub sequent volume. The exposition of each chapter is essentially independent, and attempts to reflect a specific style of mathematical reasoning. The emphasis lies on linear and convex duality theory, as initiated by Gale, Kuhn and Tucker, Fenchel, and v. Neumann, because it represents the theoretical development whose impact on modern optimi zation techniques has been the most pronounced. Chapters 5 and 6 are devoted to two characteristic aspects of duality theory: conjugate functions or polarity on the one hand, and saddle points on the other. The Farkas lemma on linear inequalities and its generalizations, Motzkin's description of polyhedra, Minkowski's supporting plane theorem are indispensable elementary tools which are contained in chapters 1, 2 and 3, respectively. The treatment of extremal properties of polyhedra as well as of general convex sets is based on the far reaching work of Klee. Chapter 2 terminates with a description of Gale diagrams, a recently developed successful technique for exploring polyhedral structures.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642462189
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Discrete Mathematics
Domain: Amazon UK
Release Date: 21 March 2012
Listed Since: 12 July 2012

Barcode

No barcode data available

Springer Convexity and Optimization in Finite Dimensions I: 163 (Grundlehren der mathematischen Wissenschaften, 163)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Convex Optimization for Machine Learning (NowOpen)

Fundamentals of Convex Analysis: Based on Volume 305 and 306 in the Series: ""Grundlehren Der Mathematischenwissenschaften"", 1993 (Grundlehren Text Editions)

Nonlinear Programming: Theory and Algorithms

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

Generalized Convexity and Related Topics: 583 (Lecture Notes in Economics and Mathematical Systems, 583)

Lectures on Convex Sets

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

Interactive Decision Maps: Approximation and Visualization of Pareto Frontier: 89 (Applied Optimization, 89)

Submodular Functions and Optimization (Annals of Discrete Mathematics): Volume 58

Geometric Methods and Optimization Problems: 4 (Combinatorial Optimization, 4)

Convex Analysis (Princeton Landmarks in Mathematics and Physics): (PMS-28) (Princeton Mathematical Series, 28)

Convex Optimization

Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization

Convex Analysis and Global Optimization: 22 (Nonconvex Optimization and Its Applications, 22)

Linear Programming: Foundations and Extensions: 4 (International Series in Operations Research & Management Science, 4)

Linear Programming: Foundations and Extensions: 4 (International Series in Operations Research & Management Science, 4)

Optimality Conditions in Convex Optimization: A Finite-Dimensional View

Optimality Conditions in Convex Optimization: A Finite-Dimensional View

Generalized Convexity, Generalized Monotonicity: Recent Results: Recent Results: 27 (Nonconvex Optimization and Its Applications, 27)

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

Essential Mathematics for Convex Optimization

Convex Analysis and Minimization Algorithms II: Advanced Theory and Bundle Methods: 306 (Grundlehren der mathematischen Wissenschaften, 306)

Vector Optimization and Monotone Operators via Convex Duality: Recent Advances

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