Search results for "Time complexity"

showing 10 items of 99 documents

Team Theory and Person-by-Person Optimization with Binary Decisions

2012

In this paper, we extend the notion of person-by-person (pbp) optimization to binary decision spaces. The novelty of our approach is the adaptation to a dynamic team context of notions borrowed from the pseudo-boolean optimization field as completely local-global or unimodal functions and submodularity. We also generalize the concept of pbp optimization to the case where groups of $m$ decisions makers make joint decisions sequentially, which we refer to as $m$b$m$ optimization. The main contribution is a description of sufficient conditions, verifiable in polynomial time, under which a pbp or an $m$b$m$ optimization algorithm converges to the team-optimum. As a second contribution, we prese…

Mathematical optimizationControl and Optimizationcontrol optimizationBinary decision diagramApplied MathematicsTeam Theory; Person-by-Person Optimization; Pseudo-Boolean OptimizationApproximation algorithmState vectorTeam TheoryPerson-by-Person OptimizationSubmodular set functionVector optimizationPseudo-Boolean OptimizationComplete informationSettore MAT/09 - Ricerca OperativaGreedy algorithmTime complexityMathematicsSIAM Journal on Control and Optimization
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On the approximability of the range assignment problem on radio networks in presence of selfish agents

2005

AbstractWe consider the range assignment problem in ad-hoc wireless networks in the context of selfish agents: A network manager aims to assigning transmission ranges to the stations in order to achieve strong connectivity of the network within a minimal overall power consumption. Station is not directly controlled by the manager and may refuse to transmit with a certain transmission range because it might be costly in terms of power consumption.We investigate the existence of payment schemes which induce the stations to follow the decisions of a network manager in computing a range assignment, that is, truthful mechanisms for the range assignment problem. We provide both positive and negat…

Mathematical optimizationGeneral Computer ScienceSettore INF/01 - Informaticabusiness.industryWireless networkApproximation algorithmContext (language use)Approximation algorithmsTheoretical Computer ScienceNetwork managementAlgorithmic mechanism design; Energy consumption in wireless networks; Approximation algorithmsEnergy consumption in wireless networksalgorithmic mechanism design; approximation algorithms; energy consumption in wireless networksbusinessTime complexityAssignment problemAlgorithmConnectivityAlgorithmic mechanism designAlgorithmic mechanism designMathematicsComputer Science(all)Theoretical Computer Science
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A note on the separation of subtour elimination constraints in elementary shortest path problems

2013

Abstract This note proposes an alternative procedure for identifying violated subtour elimination constraints (SECs) in branch-and-cut algorithms for elementary shortest path problems. The procedure is also applicable to other routing problems, such as variants of travelling salesman or shortest Hamiltonian path problems, on directed graphs. The proposed procedure is based on computing the strong components of the support graph. The procedure possesses a better worst-case time complexity than the standard way of separating SECs, which uses maximum flow algorithms, and is easier to implement.

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceDirected graphManagement Science and Operations ResearchHamiltonian pathTravelling salesman problemIndustrial and Manufacturing Engineeringsymbols.namesakeModeling and SimulationShortest path problemsymbolsGraph (abstract data type)Branch and cutTime complexityInteger programmingMathematicsofComputing_DISCRETEMATHEMATICSMathematicsEuropean Journal of Operational Research
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Robust control of uncertain multi-inventory systems via linear matrix inequality

2008

We consider a continuous time linear multi inventory system with unknown demands bounded within ellipsoids and controls bounded within ellipsoids or polytopes. We address the problem of "-stabilizing the inventory since this implies some reduction of the inventory costs. The main results are certain conditions under which "-stabilizability is possible through a saturated linear state feedback control. All the results are based on a Linear Matrix Inequalities (LMIs) approach and on some recent techniques for the modeling and analysis of polytopic systems with saturations.

Mathematical optimizationLinear Matrix InequalitiesPolytopeDynamical Systems (math.DS)stock control93xxcontinuous systems linear matrix inequalities linear systems manufacturing systems robust control state feedback stock control uncertain systemsimpulse control inventory control hybrid systemsSettore ING-INF/04 - AutomaticaControl theoryFOS: Mathematicsmanufacturing systemsMathematics - Dynamical Systemslinear matrix inequalitiesstate feedbackTime complexityMathematics - Optimization and ControlInventory systemsMathematicsInventory controlLinear Matrix Inequalities; Inventory systemsLinear systemlinear systemsLinear matrix inequality93Cxx;93xxLinearity93Cxxhybrid systemsEllipsoidComputer Science Applicationsimpulse control; inventory control; hybrid systemsuncertain systemsControl and Systems EngineeringOptimization and Control (math.OC)Control systemBounded functioncontinuous systemsPerpetual inventorycontinuous systems; linear matrix inequalities; linear systems; manufacturing systems; robust control; state feedback; stock control; uncertain systemsinventory controlRobust controlSettore MAT/09 - Ricerca Operativarobust controlimpulse control
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Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs

2008

In existing theoretical and experimental work, Estimation of Distribution Algorithms (EDAs) are primarily applied to decomposable test problems. State-of-the-art EDAs like the Hierarchical Bayesian Optimization Algorithm (hBOA), the Learning Factorized Distribution Algorithm (LFDA) or Estimation of Bayesian Networks Algorithm (EBNA) solve these problems in polynomial time. Regarding this success, it is tempting to apply EDAs to real-world problems. But up to now, it has rarely been analyzed which real-world problems are decomposable. The main contribution of this chapter is twofold: (1) It shows that uncapacitated single-product and multi-product lotsizing problems are decomposable. (2) A s…

Mathematical optimizationPolynomialDistribution (mathematics)Estimation of distribution algorithmComputer scienceBounded functionScalabilityEDASBayesian networkTime complexity
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Optimal Switches in Multi–inventory Systems

2007

Given a switched multi-inventory system we wish to find the optimal schedule of the resets to maintain the system in a safe operating interval, while minimizing a function related to the cost of the resets. We discuss a family of instances that can be solved in polynomial time by linear programming. We do this by introducing a set-covering formulation with a totally unimodular constraint matrix.

Mathematical optimizationScheduleUnimodular matrixLinear programmingInterval (mathematics)Function (mathematics)Constraint matrixTime complexityMathematics
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A fast recursive algorithm for the computation of axial moments

2002

This paper describes a fast algorithm to compute local axial moments used for the detection of objects of interest in images. The basic idea is grounded on the elimination of redundant operations while computing axial moments for two neighboring angles of orientation. The main result is that the complexity of recursive computation of axial moments becomes independent of the total number of computed moments in a given point, i.e. it is of the order O(N) where N is the data size. This result is of great importance in computer vision since many feature extraction methods are based on the computation of axial moments. The experimental results confirm the time complexity and accuracy predicted b…

Mathematical optimizationSettore INF/01 - InformaticaComputational complexity theoryVelocity MomentsOrientation (computer vision)ComputationFeature extractionA fast recursive algorithm for the computation of axial momentsPoint (geometry)Time complexityAlgorithmObject detectionMathematicsProceedings 11th International Conference on Image Analysis and Processing
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The Reconstruction of Polyominoes from Approximately Orthogonal Projections

2001

The reconstruction of discrete two-dimensional pictures from their projection is one of the central problems in the areas of medical diagnostics, computer-aided tomography, pattern recognition, image processing, and data compression. In this note, we determine the computational complexity of the problem of reconstruction of polyominoes from their approximately orthogonal projections. We will prove that it is NP-complete if we reconstruct polyominoes, horizontal convex polyominoes and vertical convex polyominoes. Moreover we will give the polynomial algorithm for the reconstruction of hv-convex polyominoes that has time complexity O(m3n3).

Mathematics::CombinatoricsPolyominoComputational complexity theoryComputer scienceOrthographic projectionRegular polygonVector projectionComputer Science::Computational GeometryCombinatoricsProjection (mathematics)Computer Science::Discrete MathematicsTomographyAlgorithmTime complexityComputer Science::Formal Languages and Automata TheoryImage compression
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Molecular shape analysis based upon the morse-smale complex and the connolly function

2003

Docking is the process by which two or several molecules form a complex. Docking involves the geometry of the molecular surfaces, as well as chemical and energetical considerations. In the mid-eighties, Connolly proposed a docking algorithm matching surface knobs with surface depressions. Knobs and depressions refer to the extrema of the Connolly function, which is defined as follows. Given a surface M bounding a three-dimensional domain X, and a sphere S centered at a point p of M, the Connolly function is equal to the solid angle of the portion of S containing within X.We recast the notions of knobs and depressions in the framework of Morse theory for functions defined over two-dimensiona…

Maxima and minimasymbols.namesakePure mathematicsEuler's formulasymbolsSolid angleDiscrete Morse theoryVector fieldPolygon meshGeometryTime complexityMorse theoryMathematicsProceedings of the nineteenth annual symposium on Computational geometry
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Deciding properties of integral relational automata

1994

This paper investigates automated model checking possibilities for CTL* formulae over infinite transition systems represented by relational automata (RA). The general model checking problem for CTL* formulae over RA is shown undecidable, the undecidability being observed already on the class of Restricted CTL formulae. The decidability result, however, is obtained for another substantial subset of the logic, called A-CTL*+, which includes all ”linear time” formulae.

Model checkingDiscrete mathematicsClass (set theory)TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESComputer scienceComputer Science::Software EngineeringDecidabilityUndecidable problemComputer Science::Multiagent SystemsCTL*TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRelational calculusTheoryofComputation_LOGICSANDMEANINGSOFPROGRAMSComputer Science::Logic in Computer ScienceAutomata theoryTime complexityComputer Science::Formal Languages and Automata Theory
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