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Cover image for Multiscale optimization methods and applications
Title:
Multiscale optimization methods and applications
Publication Information:
New York : Springer-Verlag, 2006
ISBN:
9780387295497
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30000010113095 QA402.5 M84 2006 Open Access Book Book
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Summary

Summary

As optimization researchers tackle larger and larger problems, scale interactions play an increasingly important role. One general strategy for dealing with a large or difficult problem is to partition it into smaller ones, which are hopefully much easier to solve, and then work backwards towards the solution of original problem, using a solution from a previous level as a starting guess at the next level. This volume contains 22 chapters highlighting some recent research. The topics of the chapters selected for this volume are focused on the development of new solution methodologies, including general multilevel solution techniques, for tackling difficult, large-scale optimization problems that arise in science and industry. Applications presented in the book include but are not limited to the circuit placement problem in VLSI design, a wireless sensor location problem, optimal dosages in the treatment of cancer by radiation therapy, and facility location.


Table of Contents

Tony F. Chan and Jason Cong and Joseph R. Shinnerl and Kenton Sze and Min Xie and Yan ZhangPratik Biswas and Yinyu YePando G. Georgiev and Fabian Theis and Andrzej CichockiGary A. Kochenberger and Fred GloverNicholas I. M. Gould and Philippe L. TointRobert Michael Lewis and Stephen G. NashWalter Murray and Uday V. ShanbhagYin Zhang and Michael MerrittArnal Aafif and Robert BoyerJung-ha An and Yunmei Chen and Myron N. Chang and David Wilson and Edward GeiserDevarapu Anilkumar and Satyajit RoyY.S. BhatKen ChanShantanu H. Joshi and Anuj SrivastavaChristopher M. Kuster and Pierre A. GremaudJiawang Nie and James W. DemmelRonald Perline and Emek KöseJames M. RathYanfei Wang and Qinghua MaQingguo Zeng and Yunmei Chen and Weihong Guo and Yijun LiuHongchao Zhang and William W. HagerXiqiang Zheng and Yunmei Chen and David Groisser and David Wilson
Multiscale Optimization in VLSI Physical Design Automationp. 1
A Distributed Method for Solving Semidefinite Programs Arising from Ad Hoc Wireless Sensor Network Localizationp. 69
Optimization Algorithms for Sparse Representations and Applicationsp. 85
A Unified Framework for Modeling and Solving Combinatorial Optimization Problems: A Tutorialp. 101
Global Convergence of a Non-monotone Trust-Region Filter Algorithm for Nonlinear Programmingp. 125
Factors Affecting the Performance of Optimization-based Multigrid Methodsp. 151
A Local Relaxation Method for Nonlinear Facility Location Problemsp. 173
Fluence Map Optimization in IMRT Cancer Treatment Planning and A Geometric Approachp. 205
Panoramic Image Processing using Non-Commutative Harmonic Analysis Part I: Investigationp. 229
Generating Geometric Models through Self-Organizing Mapsp. 241
Self-similar Solution of Unsteady Mixed Convection Flow on a Rotating Cone in a Rotating Fluidp. 251
Homogenization of a Nonlinear Elliptic Boundary Value Problem Modelling Galvanic Interactions on a Heterogeneous Surfacep. 263
A Simple Mathematical Approach for Determining Intersection of Quadratic Surfacesp. 271
Applications of Shape-Distance Metric to Clustering Shape-Databasesp. 299
Accurately Computing the Shape of Sandpilesp. 305
Shape Optimization of Transfer Functionsp. 313
Achieving Wide Field of View Using Double-Mirror Catadioptric Sensorsp. 327
Darcy Flow, Multigrid, and Upscalingp. 337
Iterated Adaptive Regularization for the Operator Equations of the First Kindp. 367
Recover Multi-tensor Structure from HARD MRI Under Bi-Gaussian Assumptionp. 379
PACBB: A Projected Adaptive Cyclic Barzilai-Borwein Method for Box Constrained Optimizationp. 387
Nonrigid Correspondence and Classification of Curves Based on More Desirable Propertiesp. 393
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