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Multiscale Optimization Methods and Applications

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 th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hager, William W. (Editor ), Huang, Shu-Jen (Editor ), Pardalos, Panos M. (Editor ), Prokopyev, Oleg A. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Nonconvex Optimization and Its Applications ; 82
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Multiscale Optimization in VLSI Physical Design Automation
  • A Distributed Method for Solving Semidefinite Programs Arising from Ad Hoc Wireless Sensor Network Localization
  • Optimization Algorithms for Sparse Representations and Applications
  • A Unified Framework for Modeling and Solving Combinatorial Optimization Problems: A Tutorial
  • Global Convergence of a Non-monotone Trust-Region Filter Algorithm for Nonlinear Programming
  • Factors Affecting the Performance of Optimization-based Multigrid Methods
  • A Local Relaxation Method for Nonlinear Facility Location Problems
  • Fluence Map Optimization in IMRT Cancer Treatment Planning and A Geometric Approach
  • Panoramic Image Processing using Non-Commutative Harmonic Analysis Part I: Investigation
  • Generating Geometric Models through Self-Organizing Maps
  • Self-similar Solution of Unsteady Mixed Convection Flow on a Rotating Cone in a Rotating Fluid
  • Homogenization of a Nonlinear Elliptic Boundary Value Problem Modelling Galvanic Interactions on a Heterogeneous Surface
  • A Simple Mathematical Approach for Determining Intersection of Quadratic Surfaces
  • Applications of Shape-Distance Metric to Clustering Shape-Databases
  • Accurately Computing the Shape of Sandpiles
  • Shape Optimization of Transfer Functions
  • Achieving Wide Field of View Using Double-Mirror Catadioptric Sensors
  • Darcy Flow, Multigrid, and Upscaling
  • Iterated Adaptive Regularization for the Operator Equations of the First Kind
  • Recover Multi-tensor Structure from HARD MRI Under Bi-Gaussian Assumption
  • PACBB: A Projected Adaptive Cyclic Barzilai-Borwein Method for Box Constrained Optimization
  • Nonrigid Correspondence and Classification of Curves Based on More Desirable Properties.