Chapter: Parallel Algorithms and Complexity

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Home > Parallel Computing in Optimization > Parallel Algorithms and Complexity

Parallel Computing in Optimization |

A. Migdalas; Panos M. Pardalos; Sverre Storøy

Springer US

Parallel Algorithms and Complexity

Chapter Info

Authors

Martin Fürer

ARI Id

1664226876166_836304

Access

Not Available Free

Pages

27-55

DOI

10.1007/978-1-4613-3400-2_2

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4613-3400-2_2

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xix
Models for Parallel Algorithm Design: An Introduction	Afonso Ferreira; Michel Morvan	1-26
Parallel Algorithms and Complexity	Martin Fürer	27-55
A Programmer’s View of Parallel Computers	Tor Sørevik	57-72
Scalable Parallel Algorithms for Sparse Linear Systems	Anshul Gupta; George Karypis; Vipin Kumar	73-98
Object Oriented Mathematical Modelling and Compilation to Parallel Code	Niclas Andersson; Peter Fritzson	99-182
Parallel Algorithms for Network Problems	Olof Damberg; Athanasios Migdalas; Sverre Storøy	183-238
Parallel Branch and Bound — Principles and Personal Experiences	Jens Clausen	239-267
Parallelized Heuristics for Combinatorial Search	K. Holmqvist; A. Migdalas; P. M. Pardalos	269-294
Parallel Cost Approximation Algorithms for Differentiable Optimization	Michael Patriksson	295-341
Parallel Computation of Variational Inequalities and Projected Dynamical Systems with Applications	Anna Nagurney	343-411
Parallel Algorithms for Large-Scale Stochastic Programming	Hercules Vladimirou; Stavros A. Zenios	413-469
Parallel Continuous Non-Convex Optimization	Kristina Holmqvist; Athanasios Migdalas; Panos M. Pardalos	471-527
Deterministic and Stochastic Logarithmic Barrier Function Methods for Neural Network Training	Theodore B. Trafalis; Tarek A. Tutunji	529-574
Back Matter		575-587
Chapters/Headings	Author(s)	Pages	Info

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