Treffer: Asynchronous distributed optimization algorithms; Automatic differentiation: Parallel computation; Automatic differentiation: Point and interval; Automatic differentiation: Point and interval Taylor operators; Bounding derivative ranges; Global optimization: Application to phase equilibrium problems; Heuristic search; Interval analysis: Application to chemical engineering design problems; Interval analysis: Differential equations; Interval analysis: Eigenvalue bounds of interval matrices; Interval analysis: Intermediate terms; Interval analysis: Nondifferentiable problems; Interval analysis: Subdivision directions in interval branch and bound methods; Interval analysis: Systems of nonlinear equations; Interval analysis: Unconstrained and constrained optimization; Interval analysis: Verifying feasibility; Interval constraints; Interval fixed point theory; Interval global optimization; Interval linear systems; Interval Newton methods; Load balancing for parallel optimization techniques; Parallel computing: Complexity classes; Parallel computing: Models; Parallel heuristic search; Stochastic network problems: Massively parallel solution INTERVAL ANALYSIS: PARALLEL METHODS FOR GLOBAL OPTIMIZATION

Title:
Asynchronous distributed optimization algorithms; Automatic differentiation: Parallel computation; Automatic differentiation: Point and interval; Automatic differentiation: Point and interval Taylor operators; Bounding derivative ranges; Global optimization: Application to phase equilibrium problems; Heuristic search; Interval analysis: Application to chemical engineering design problems; Interval analysis: Differential equations; Interval analysis: Eigenvalue bounds of interval matrices; Interval analysis: Intermediate terms; Interval analysis: Nondifferentiable problems; Interval analysis: Subdivision directions in interval branch and bound methods; Interval analysis: Systems of nonlinear equations; Interval analysis: Unconstrained and constrained optimization; Interval analysis: Verifying feasibility; Interval constraints; Interval fixed point theory; Interval global optimization; Interval linear systems; Interval Newton methods; Load balancing for parallel optimization techniques; Parallel computing: Complexity classes; Parallel computing: Models; Parallel heuristic search; Stochastic network problems: Massively parallel solution INTERVAL ANALYSIS: PARALLEL METHODS FOR GLOBAL OPTIMIZATION
Authors:
Source:
Encyclopedia of Optimization ISBN: 9780792369325
Publisher Information:
Springer US, 2001.
Publication Year:
2001
Document Type:
Buch Part of book or chapter of book
Language:
English
DOI:
10.1007/0-306-48332-7_225
Rights:
Springer TDM
Accession Number:
edsair.doi...........384175b6dcb034fd8a67ea3be4b743bf
Database:
OpenAIRE