Search results for "Minification"

showing 10 items of 91 documents

Indirect Methods for Optimal Control Problems

2003

This chapter is dedicated to the numerical approximation of Optimal Control Problems. The algorithms are based on the necessary conditions for optimality which allow us to use a descent method for the minimization of the cost functional.

Mathematical optimizationNumerical approximationComputer scienceAdjoint equationMinificationOptimal controlDescent (mathematics)
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Integer Preemption Problems

2014

A fundamental assumption in the basic RCPSP is that activities in progress are non-preemptable. Some papers reveal the potential benefits of allowing activity interruptions in the schedule when the objective is the makespan minimization. In this chapter we consider the Maxnint_PRCPSP in which it is assumed that activities can be interrupted at any integer time instant with no cost incurred, that each activity can be split into a maximum number of parts, and that each part has a minimum duration established. We show how some procedures developed for the RCPSP can be adapted to work with the Maxnint_PRCPSP and we introduce some procedures specifically designed for this problem. Furthermore, p…

Mathematical optimizationWork (electrical)Job shop schedulingComputer sciencePreemptionWork contentMinificationSchedule (project management)Duration (project management)Integer (computer science)
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Booton's problem re-examined

1998

The application of the stochastic linearization technique to the specific problem analyzed by Booton is reexamined. It is shown that Booton has made a subtle error in the procedure for minimization of the mean square force difference between the sharp limiter and its linear equivalent counterpart

Mean squareAcoustics and UltrasonicsMechanics of MaterialsLinearizationControl theoryMechanical EngineeringLimiterApplied mathematicsMinificationCondensed Matter PhysicsMathematics
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Approximations and Metric Regularity in Mathematical Programming in Banach Space

1993

This paper establishes verifiable conditions ensuring the important notion of metric regularity for general nondifferentiable programming problems in Banach spaces. These conditions are used to obtain Lagrange-Kuhn-Tucker multipliers for minimization problems with infinitely many inequality and equality constraints.

Minimisation (psychology)Mathematical optimizationGeneral MathematicsMathematics::Optimization and ControlConstrained optimizationBanach spaceSubderivativeManagement Science and Operations ResearchComputer Science Applicationssymbols.namesakeLagrange multiplierMetric (mathematics)symbolsVerifiable secret sharingMinificationMathematicsMathematics of Operations Research
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Identification of New Templates for the Synthesis of BEA, BEC, and ISV Zeolites Using Molecular Topology and Monte Carlo Techniques

2020

The presence of organic structure directing agents (templates) in the synthesis of zeolites allows the synthesis to be directed, in many cases, toward structures in which there is a large stabilization between the template and the zeolite micropore due to dispersion interactions. Although other factors are also important (temperature, pH, Si/Al ratio, etc.), systems with strong zeolite-template interactions are good candidates for an application of new computational algorithms, for instance those based in molecular topology (MT), that can be used in combination with large databases of organic molecules. Computational design of new templates allows the synthesis of existing and new zeolites …

Models MolecularQuantitative structure–activity relationshipMaterials science010304 chemical physicsGeneral Chemical EngineeringMonte Carlo methodGeneral ChemistryMicroporous materialLibrary and Information Sciences01 natural sciences0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistryIdentification (information)Template0103 physical sciencesZeolitesMoleculeMinificationMolecular topologyBiological systemMonte Carlo MethodJournal of Chemical Information and Modeling
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Numerically stable computation of step-sizes for descent methods. The nonconvex case

1977

The computation of step-sizes which guarantee convergence in unconstrained minimization by descent methods is considered. The use of a “control” or “range” function is highly attractive for this purpose because of its simplicity. Since the Armijo-Goldstein test may fail prematurely due to numerical instability near the minimizer, we consider a range function based on gradient values alone as has been done forg convex in [8]. Numerical algorithms are given for the computation of step-sizes whose behaviour under roundoff is shown to be benign in the sense of F. L. Bauer [5].

Numerical AnalysisMathematical optimizationComputationRegular polygonFunction (mathematics)Computer Science ApplicationsTheoretical Computer ScienceComputational MathematicsRange (mathematics)Computational Theory and MathematicsConvergence (routing)MinificationSoftwareNumerical stabilityDescent (mathematics)MathematicsComputing
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A design algorithm for the optimization of laminated composite structures

1999

This paper is devoted to the optimal design of laminated composite structures. The goal of the study is to assess the quality and the performance of an algorithm based on the directional derivative method. Particular attention is paid to the one‐dimensional search, a critical step of the process, performed by cubic splines approximation. The optimization problem is formulated as weight minimization, under constraints on the mechanical behavior of the structure. The assumed design variables are the ply thicknesses, treated as continuous design variables, constrained by technological requirements. The structural analysis is performed making use of quadrilateral four‐node composite elements, b…

Optimal designMathematical optimizationOptimization problemQuadrilateralbusiness.industryComputer scienceComposite numberGeneral EngineeringProcess (computing)Structural engineeringDirectional derivativeContinuous designComputer Science ApplicationsComputational Theory and MathematicsMinificationbusinessAlgorithmSoftwareEngineering Computations
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Optimal design of tuned liquid column damper inerter for vibration control

2022

Abstract In this paper, the use of a novel passive control device defined as Tuned Liquid Column Damper Inerter (TLCDI) is studied to control the seismic response of structural systems. The TLCDI, recently introduced as an enhanced version of the conventional Tuned Liquid Column Damper, may achieve improved seismic performances by exploiting the mass amplification effect of the so-called inerter device. For this purpose, an optimization procedure for the design of the TLCDI based on a statistical linearization technique and the minimization of the structural displacement variance is proposed. Notably, by assuming a white noise base excitation and considering some additional approximations, …

Optimal designOptimal designComputer scienceMechanical EngineeringStructural systemVibration controlAerospace EngineeringWhite noiseStatistical Linearization techniqueDisplacement (vector)Computer Science Applicationslaw.inventionDamperInerterControl and Systems EngineeringlawControl theorySignal ProcessingInerterTuned liquid column damperMinificationSettore ICAR/08 - Scienza Delle CostruzioniCivil and Structural EngineeringMechanical Systems and Signal Processing
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Contact Shape Optimization

1995

Shape optimization is a branch of the optimal control theory in which the control variable is connected with the geometry of the problem. The aim is to find a shape from an a priori defined class of domains, for wich the corresponding cost functional attains its minimum. Shape optimization of mechanical systems, behaviour of which is described by equations, has been very well analyzed from the mathematical, as well as from the mechanical point of view, see [1], [2], [3] and references therein. The aim of this contribution is to extend results to the case, in which the system is described by the so called variational inequalities. There are two reasons for doing that: 1) The behavior of many…

Optimization problemComputer scienceVariational inequalityControl variableApplied mathematicsShape optimizationMinificationFunction (mathematics)State (functional analysis)Optimal control
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Energy Management Systems and tertiary regulation in hierarchical control architectures for islanded microgrids

2015

In this paper, the structure of the highest level of a hierarchical control architecture for micro-grids is proposed. Such structure includes two sub-levels: the Energy Management System, EMS, and the tertiary regulation. The first devoted to energy resources allocation in each time slot based on marginal production costs, the latter aiming at finding the match between production and consumption satisfying the constraints set by the EMS level about the energy production in each time slot. Neglecting the efficiency of the different energy generation systems as well as that of the infrastructure for electrical energy distribution, the problem dealt with by the EMS sub-level is linear and can …

OptimizationEngineeringMathematical optimizationMicro-gridsLinear programmingEnergy managementbusiness.industry:Energies [Àrees temàtiques de la UPC]Electric potential energyControl engineeringElectric powerEnergy management systemSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectricity generationEnergy management systemsLinear programmingEnergia elèctricaElectric powerMinificationbusinessInteger programmingEnergy management systems linear programming microgrids optimization
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