Parallel Optimization: Theory, Algorithms, and Applications

Etukansi
This book offers a unique pathway to methods of parallel optimization by introducing parallel computing ideas into both optimization theory and into some numerical algorithms for large-scale optimization problems. The three parts of the book bring together relevant theory, careful study of algorithms, and modeling of significant real world problems such as image reconstruction, radiation therapy treatment planning, financial planning, transportation and multi-commodity network flow problems, planning under uncertainty, and matrix balancing problems.
 

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Sisältö

THEORY
27
Proximal Minimization with DFunctions
49
Penalty Methods Barrier Methods and Augmented
60
ALGORITHMS
77
Iterative Algorithms for Linearly Constrained
127
Model Decomposition Algorithms
190
Decompositions in Interior Point Algorithms
217
APPLICATIONS
235
MuIticommodity Network Flow Problems
341
Planning Under Uncertainty
371
stochastic network problem
404
Decompositions for Parallel Computing
417
Numerical Investigations
445
problems
455
Bibliography
481
Index
527

Image Reconstruction from Projections
262
The Inverse Problem in Radiation Therapy Treatment
306

Yleiset termit ja lausekkeet

Suositut otteet

Sivu 498 - Accelerated image reconstruction using ordered subsets of projection data," IEEE Transactions on Medical Imaging 13, pp.

Tietoja kirjailijasta (1997)

Yair Censor is at University of Haifa. Stavros Zenios is at University of Cyprus.

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