Search results for "Solution set"

showing 10 items of 13 documents

Closure properties for integral problems driven by regulated functions via convergence results

2018

Abstract In this paper we give necessary and sufficient conditions for the convergence of Kurzweil–Stieltjes integrals with respect to regulated functions, using the notion of asymptotical equiintegrability. One thus generalizes several well-known convergence theorems. As applications, we provide existence and closure results for integral problems driven by regulated functions, both in single- and set-valued cases. In the particular setting of bounded variation functions driving the equations, we get features of the solution set of measure integrals problems.

Applied Mathematics010102 general mathematicsClosure (topology)Solution set01 natural sciencesMeasure (mathematics)010101 applied mathematicsSettore MAT/05 - Analisi MatematicaConvergence (routing)Bounded variationApplied mathematics0101 mathematicsconvergence Kurzweil-Steltjes integral measure integral equation regulated function bounded variationAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Witness computation for solving geometric constraint systems

2014

International audience; In geometric constraint solving, the constraints are represented with an equation system F(U, X) = 0, where X denotes the unknowns and U denotes a set of parameters. The target solution for X is noted XT. A witness is a couple (U_W, X_W) such that F(U_W, X_W) = 0. The witness is not the target solution, but they share the same combinatorial features, even when the witness and the target lie on two distinct connected components of the solution set of F(U, X) = 0. Thus a witness enables the qualitative study of the system: the detection of over- and under-constrained systems, the decomposition into irreducible subsystems, the computation of subsystems boundaries. This …

Discrete mathematicsConnected componentMathematical optimization[ INFO ] Computer Science [cs]Numerical algorithmsComputer scienceComputationNumerical analysisSystem FSolution setBinary constraint[INFO] Computer Science [cs]16. Peace & justiceGeometric constraint solvingWitnessSimplex algorithmWitness computation[INFO]Computer Science [cs]
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Termination of a set of rules modulo a set of equations

2006

The problem of termination of a set R of rules modulo a set E of equations, called E-termination problem, arises when trying to complete the set of rules in order to get a Church-Rosser property for the rules modulo the equations. We first show here that termination of the rewriting relation and E-termination are the same whenever the used rewriting relation is E-commuting, a property inspired from Peterson and Stickel’s E-compatibility property. More precisely, their results can be obtained by requiring termination of the rewriting relation instead of E-termination if E-commutation is used instead of E-compatibility. When the rewriting relation is not E-commuting, we show how to reduce E-t…

Discrete mathematicsCritical pairSet (abstract data type)Infinite setProperty (philosophy)Relation (database)ModuloSolution setRewritingMathematics
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Metric regularity and second-order necessary optimality conditions for minimization problems under inclusion constraints

1994

In this paper, we establish some general metric regularity results for multivalued functions on Banach spaces. Then, we apply them to derive second-order necessary optimality conditions for the problem of minimizing a functionf on the solution set of an inclusion 0?F(x) withx?C, whenF has a closed convex second-order derivative.

Mathematical optimizationControl and OptimizationMultivalued functionApplied MathematicsTheory of computationSolution setRegular polygonBanach spaceMinificationManagement Science and Operations ResearchDirectional derivativeMathematicsJournal of Optimization Theory and Applications
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The price of multiobjective robustness : Analyzing solution sets to uncertain multiobjective problems

2021

Defining and finding robust efficient solutions to uncertain multiobjective optimization problems has been an issue of growing interest recently. Different concepts have been published defining what a “robust efficient” solution is. Each of these concepts leads to a different set of solutions, but it is difficult to visualize and understand the differences between these sets. In this paper we develop an approach for comparing such sets of robust efficient solutions, namely we analyze their outcomes under the nominal scenario and in the worst case using the upper set-less order from set-valued optimization. Analyzing the set of nominal efficient solutions, the set of minmax robust efficient …

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceComputer sciencemultiobjective robust optimizationSolution setpäätöksentukijärjestelmätManagement Science and Operations ResearchMinimaxmonitavoiteoptimointiepävarmuusIndustrial and Manufacturing Engineeringdecision makingRobustness (computer science)Modeling and Simulationuncertaintyprice of robustness
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A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems

2013

The unequal area facility layout problem (UA-FLP) comprises a class of extremely difficult and widely applicable optimization problems arising in diverse areas and meeting the requirements for real-world applications. Genetic Algorithms (GAs) have recently proven their effectiveness in finding (sub) optimal solutions to many NP-hard problems such as UA-FLP. A main issue in such approach is related to the genetic encoding and to the evolutionary mechanism implemented, which must allow the efficient exploration of a wide solution space, preserving the feasibility of the solutions and ensuring the convergence towards the optimum. In addition, in realistic situations where several design issues…

Mathematical optimizationOptimization problemGeneral EngineeringSolution setPareto principleMulti Objective Genetic Algorithm electre method unequal area facility layout problemsComputer Science ApplicationsRankingArtificial IntelligenceGenetic algorithmConvergence (routing)ELECTRESelection (genetic algorithm)MathematicsExpert Systems with Applications
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Solving the pentahedron problem

2015

Nowadays, all geometric modelers provide some tools for specifying geometric constraints. The 3D pentahedron problem is an example of a 3D Geometric Constraint Solving Problem (GCSP), composed of six vertices, nine edges, five faces (two triangles and three quadrilaterals), and defined by the lengths of its edges and the planarity of its quadrilateral faces. This problem seems to be the simplest non-trivial problem, as the methods used to solve the Stewart platform or octahedron problem fail to solve it. The naive algebraic formulation of the pentahedron yields an under-constrained system of twelve equations in eighteen unknowns. Even if the use of placement rules transforms the pentahedron…

Mathematical optimization[ INFO ] Computer Science [cs]Interval (mathematics)[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]Industrial and Manufacturing EngineeringDesargues’ theoremPolyhedronAl-Kashi theorem[INFO]Computer Science [cs]Algebraic numberFinite setMathematicsGeometric constraint solving problemsQuadrilateralGeometric modeling with constraintsSolution set[ MATH.MATH-NA ] Mathematics [math]/Numerical Analysis [math.NA]SolverComputer Graphics and Computer-Aided DesignPentahedronPentahedronComputer Science ApplicationsAlgebraInterval solver[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG][MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Nonlinear vector Duffing inclusions with no growth restriction on the orientor field

2019

We consider nonlinear multivalued Dirichlet Duffing systems. We do not impose any growth condition on the multivalued perturbation. Using tools from the theory of nonlinear operators of monotone type, we prove existence theorems for the convex and the nonconvex problems. Also we show the existence of extremal trajectories and show that such solutions are $C_0^1(T,\mathbb{R}^N)$-dense in the solution set of the convex problem (strong relaxation theorem).

Pure mathematicsApplied MathematicsRegular polygonSolution setPerturbation (astronomy)Dirichlet distributionDuffing systemNonlinear systemsymbols.namesakeMonotone polygonNonlinear operator of mono-tone typeGrowth restrictionSettore MAT/05 - Analisi MatematicaConvex optimizationStrong relaxationssymbolsExtremal solutionAnalysisMathematics
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On Regulated Solutions of Impulsive Differential Equations with Variable Times

2020

In this paper we investigate the unified theory for solutions of differential equations without impulses and with impulses, even at variable times, allowing the presence of beating phenomena, in the space of regulated functions. One of the aims of the paper is to give sufficient conditions to ensure that a regulated solution of an impulsive problem is globally defined.

Regulated functionDifferential equationlcsh:MathematicsGeneral Mathematics010102 general mathematicsMathematical analysisSolution set02 engineering and technologyimpulsive problem with variable timeslcsh:QA1-939Space (mathematics)01 natural sciencessolution setregulated functionregulated function solution set discontinuous function impulsive problem with variable timesSettore MAT/05 - Analisi Matematicadiscontinuous function0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)020201 artificial intelligence & image processing0101 mathematicsUnified field theoryEngineering (miscellaneous)MathematicsVariable (mathematics)Mathematics
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Two-Sided Estimates of the Solution Set for the Reaction–Diffusion Problem with Uncertain Data

2009

We consider linear reaction–diffusion problems with mixed Dirichlet–Neumann–Robin conditions. The diffusion matrix, reaction coefficient, and the coefficient in the Robin boundary condition are defined with an uncertainty which allow bounded variations around some given mean values. A solution to such a problem cannot be exactly determined (it is a function in the set of “possible solutions” formed by generalized solutions related to possible data). The problem is to find parameters of this set. In this paper, we show that computable lower and upper bounds of the diameter (or radius) of the set can be expressed throughout problem data and parameters that regulate the indeterminacy range. Ou…

Set (abstract data type)Range (mathematics)Uncertain dataBounded functionMathematical analysisReaction–diffusion systemSolution setFunction (mathematics)Robin boundary conditionMathematics
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