My Account Log in

1 option

Global Optimization and Constraint Satisfaction : Second International Workshop, COCOS 2003, Lausanne, Switzerland, Nevember 18-21, 2003, Revised Selected Papers / edited by Christophe Jermann, Arnold Neumaier, Djamila Sam.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

View online
Format:
Book
Contributor:
Jermann, Christophe, 1975- editor.
Neumaier, A., editor.
Sam, Djamila, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 3478.
Theoretical Computer Science and General Issues ; 3478
Language:
English
Subjects (All):
Numerical analysis.
Computer logic.
Logic, Symbolic and mathematical.
Computer science--Mathematics.
Computer science.
Numeric Computing.
Logics and Meanings of Programs.
Mathematical Logic and Formal Languages.
Symbolic and Algebraic Manipulation.
Local Subjects:
Numeric Computing.
Logics and Meanings of Programs.
Mathematical Logic and Formal Languages.
Symbolic and Algebraic Manipulation.
Physical Description:
1 online resource (XII, 193 pages).
Edition:
First edition 2005.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
System Details:
text file PDF
Summary:
Theformulationofmanypracticalproblemsnaturallyinvolvesconstraintsonthe variables entering the mathematical model of a real-life situation to be analyzed. It is of great interest to ?nd the possible scenarios satisfying all constraints, and, iftherearemanyofthem,eitherto?ndthebestsolution,ortoobtainacompact, explicit representation of the whole feasible set. The 2nd Workshop on Global Constrained Optimization and Constraint S- isfaction, COCOS 2003, which took place during November 18-21, 2003 in L- sanne, Switzerland, was dedicated to theoretical, algorithmic, and application oriented advances in answering these questions. Here global optimization refers to ?nding the absolutely best feasible point, while constraint satisfaction refers to?ndingallpossiblefeasiblepoints.AsinCOCOS2002,the?rstsuchworkshop (see the proceeedings [1]), the emphasis was on complete solving techniques for problems involving continuous variables that provide all solutions with full rigor, and on applications which, however, were allowed to have relaxed standards of rigor. The participants used the opportunity to meet experts from global optimi- tion, mathematical programming, constraint programming, and applications, and to present and discuss ongoing work and new directions in the ?eld. Four invited lectures and 20 contributed talks were presented at the workshop. The invited lectures were given by John Hooker (Logic-Based Methods for Global Optimization), Jean-Pierre Merlet (Usual and Unusual Applications of Interval Analysis), Hermann Schichl (The COCONUT Optimization Environment), and Jorge Mor ́ e (Global Optimization Computational Servers). This volume contains the text of Hooker's invited lecture and of 12 c- tributed talks. Copies of the slides for most presentations can be found at [2]. Constraintsatisfactionproblems.Threepapersfocusonalgorithmicaspects of constraint satisfaction problems.
Contents:
Constraint Satisfaction
Efficient Pruning Technique Based on Linear Relaxations
Inter-block Backtracking: Exploiting the Structure in Continuous CSPs
Accelerating Consistency Techniques and Prony's Method for Reliable Parameter Estimation of Exponential Sums
Global Optimization
Convex Programming Methods for Global Optimization
A Method for Global Optimization of Large Systems of Quadratic Constraints
A Comparison of Methods for the Computation of Affine Lower Bound Functions for Polynomials
Using a Cooperative Solving Approach to Global Optimization Problems
Global Optimization of Convex Multiplicative Programs by Duality Theory
Applications
High-Fidelity Models in Global Optimization
Incremental Construction of the Robot's Environmental Map Using Interval Analysis
Nonlinear Predictive Control Using Constraints Satisfaction
Gas Turbine Model-Based Robust Fault Detection Using a Forward - Backward Test
Benchmarking on Approaches to Interval Observation Applied to Robust Fault Detection.
Other Format:
Printed edition:
ISBN:
978-3-540-32041-8
9783540320418
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account