Encyclopedia of Optimization

Publisher Springer

Format

eBook

2nd Edition 1st Edition

Quantity

Add New

Publisher

Springer

Volume

Edition

2

Copyright

2007

ISBN13

9780387747590

Release

Format

eBook

Grade Level

College Freshman - College Senior

DDC
TBD

Overview

Provides a set of topics that show the spectrum of research and numerous applications that have come from this field. Addresses recent areas where optimization theories and techniques have advanced, particularly in health science and transportation.
Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Preface to the Second Edition.
About the Editors.
Editorial Board Members.
List of Contributors.
1: ABS Algorithms for Linear Equations and Linear Least Squares.
2: ABS Algorithms for Optimization.
3: Adaptive Convexification in Semi-Infinite Optimization.
4: Adaptive Global Search.
5: Adaptive Simulated Annealing and its Application to Protein Folding ASA.
6: Affine Sets and Functions.
7: Airline Optimization.
8: Algorithmic Improvements Using a Heuristic Parameter, Reject Index for Interval Optimization.
9: Algorithms for Genomic Analysis.
10: Alignment Problem.
11: αBB Algorithm.
12: Alternative Set Theory AST.
13: Approximation of Extremum Problems with Probability Functionals APF.
14: Approximation of Multivariate Probability Integrals.
15: Approximations to Robust Conic Optimization Problems.
16: Archimedes and the Foundations of Industrial Engineering.
17: Asset Liability Management Decision Support System.
18: Assignment and Matching AM.
19: Assignment Methods in Clustering.
20: Asymptotic Properties of Random Multidimensional Assignment Problem.
21: Asynchronous Distributed Optimization Algorithms.
22: Auction Algorithms.
23: Automatic Differentiation: Calculation of the Hessian.
24: Automatic Differentiation: Calculation of Newton Steps.
25: Automatic Differentiation: Geometry of Satellites and Tracking Stations.
26: Automatic Differentiation: Introduction, History and Rounding Error Estimation.
27: Automatic Differentiation: Parallel Computation.
28: Automatic Differentiation: Point and Interval AD.
29: Automatic Differentiation: Point and Interval Taylor Operators AD, Computational Differentiation.
30: Automatic Differentiation: Root Problem and Branch Problem.
31: Bayesian Global Optimization BA.
32: Bayesian Networks.
33: Beam Selection in Radiotherapy Treatment Design.
34: Best Approximation in Ordered Normed Linear Spaces.
35: Bilevel Fractional
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Encyclopedia of Optimization

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Table of Contents