Chapter: Stochastic Network Problems: Massively Parallel Solution

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Home > Encyclopedia of Optimization > Stochastic Network Problems: Massively Parallel Solution

Encyclopedia of Optimization |

Christodoulos A. Floudas; Panos M. Pardalos

Springer US

Stochastic Network Problems: Massively Parallel Solution

Chapter Info

Authors

S&; oslash; ren S. Nielsen

ARI Id

1664071888875_201397

Access

Not Available Free

Pages

2493-2501

DOI

10.1007/0-306-48332-7_497

Chapter URL

https://rd.springer.com/referenceworkentry/10.1007/0-306-48332-7_497

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Chapters/Headings	Author(s)	Pages	Info
Front Matter
αBB Algorithm	Claire S. Adjiman; Christodoulos A. Floudas	1-12
ABS Algorithms for Linear Equations and Linear Least Squares	Emilio Spedicato	12-18
ABS Algorithms for Optimization	Emilio Spedicato; Zunquan Xia; Liwei Zhang	19-25
Adaptive Global Search	J. M. Calvin	25-27
Adaptive Simulated Annealing and its Application to Protein Folding	Ruth Pachter; Zhiqiang Wang	27-31
Affine Sets and Functions	Leonidas Pitsoulis	31-32
Airline Optimization	Gang Yu; Benjamin Thengvall	32-35
Alignment Problem	Claude G. Diderich; Marc Gengler	35-43
Alternative Set Theory	Petr Vopěnka; Kateřina Trlifajová	43-47
Approximation of Extremum Problems with Probability Functionals	Riho Lepp	47-52
Approximation of Multivariate Probability Integrals	Tamás Szántai	53-59
Assignment and Matching	Dimitris Alevras	60-62
Assignment Methods in Clustering	L. J. Hubert; P. Arabie	62-68
Asynchronous Distributed Optimization Algorithms	Ioannis P. Androulakis	68-73
Auction Algorithms	Dimitri P. Bertsekas	73-77
Automatic Differentiation: Calculation of Newton Steps	Laurence Dixon	77-82
Automatic Differentiation: Calculation of the Hessian	Laurence Dixon	82-86
Automatic Differentiation: Geometry of Satellites and Tracking Stations	Dan Kalman	86-97
Automatic Differentiation: Introduction, History and Rounding Error Estimation	Masao Iri; Koichi Kubota	97-102
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