LEADER 05628nam 22006975 450 001 996465711303316 005 20230223064840.0 010 $a3-540-32041-5 010 $a3-540-26003-X 024 7 $a10.1007/b136292 035 $a(CKB)1000000000212955 035 $a(SSID)ssj0000317962 035 $a(PQKBManifestationID)11245546 035 $a(PQKBTitleCode)TC0000317962 035 $a(PQKBWorkID)10308486 035 $a(PQKB)10501039 035 $a(DE-He213)978-3-540-32041-8 035 $a(MiAaPQ)EBC3067790 035 $a(PPN)123094666 035 $a(EXLCZ)991000000000212955 100 $a20100713d2005 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGlobal Optimization and Constraint Satisfaction$b[electronic resource] $eSecond International Workshop, COCOS 2003, Lausanne, Switzerland, Nevember 18-21, 2003, Revised Selected Papers /$fedited by Christophe Jermann, Arnold Neumaier, Djamila Sam 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (XII, 193 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3478 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$aPrinted edition: 9783540260035 320 $aIncludes bibliographical references and index. 327 $aConstraint 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. 330 $aTheformulationofmanypracticalproblemsnaturallyinvolvesconstraintsonthe variables entering the mathematical model of a real-life situation to be analyzed. It is of great interest to ?nd the possible scenarios satisfying all constraints, and, iftherearemanyofthem,eitherto?ndthebestsolution,ortoobtainacompact, explicit representation of the whole feasible set. The 2nd Workshop on Global Constrained Optimization and Constraint S- isfaction, COCOS 2003, which took place during November 18?21, 2003 in L- sanne, Switzerland, was dedicated to theoretical, algorithmic, and application oriented advances in answering these questions. Here global optimization refers to ?nding the absolutely best feasible point, while constraint satisfaction refers to?ndingallpossiblefeasiblepoints.AsinCOCOS2002,the?rstsuchworkshop (see the proceeedings [1]), the emphasis was on complete solving techniques for problems involving continuous variables that provide all solutions with full rigor, and on applications which, however, were allowed to have relaxed standards of rigor. The participants used the opportunity to meet experts from global optimi- tion, mathematical programming, constraint programming, and applications, and to present and discuss ongoing work and new directions in the ?eld. Four invited lectures and 20 contributed talks were presented at the workshop. The invited lectures were given by John Hooker (Logic-Based Methods for Global Optimization), Jean-Pierre Merlet (Usual and Unusual Applications of Interval Analysis), Hermann Schichl (The COCONUT Optimization Environment), and Jorge Morī e (Global Optimization Computational Servers). This volume contains the text of Hooker?s invited lecture and of 12 c- tributed talks. Copies of the slides for most presentations can be found at [2]. Constraintsatisfactionproblems.Threepapersfocusonalgorithmicaspects of constraint satisfaction problems. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3478 606 $aNumerical analysis 606 $aComputer science 606 $aMachine theory 606 $aComputer science?Mathematics 606 $aNumerical Analysis 606 $aComputer Science Logic and Foundations of Programming 606 $aFormal Languages and Automata Theory 606 $aSymbolic and Algebraic Manipulation 615 0$aNumerical analysis. 615 0$aComputer science. 615 0$aMachine theory. 615 0$aComputer science?Mathematics. 615 14$aNumerical Analysis. 615 24$aComputer Science Logic and Foundations of Programming. 615 24$aFormal Languages and Automata Theory. 615 24$aSymbolic and Algebraic Manipulation. 676 $a005.1/16 702 $aJermann$b Christophe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNeumaier$b Arnold$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSam$b Djamila$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465711303316 996 $aGlobal Optimization and Constraint Satisfaction$9772774 997 $aUNISA