Search results for "Black box"

showing 6 items of 26 documents

Black-Box Solvers

2017

Linear programming is perhaps the best-known tool for optimization. Linear programming is a general-purpose framework that allows a real system to be abstracted as a model with a linear objective function subject to a set of linear constraints.

Set (abstract data type)Mathematical optimizationLinear programmingComputer scienceBlack boxComputer Science::Programming LanguagesSubject (documents)
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Black-Box solvers in combinatorial optimization

2015

Black box optimizers have a long tradition in the field of operations research. These procedures treat the objective function evaluation as a black box and therefore do not take advantage of its specific structure. Black-box optimization refers to the process in which there is a complete separation between the evaluation of the objective function —and perhaps other functions used to enforce constraints— and the solution procedure. The challenge of optimizing black boxes is to develop methods that can produce outcomes of reasonable quality without taking advantage of problem structure and employing a computational effort that is adequate for the context.

Structure (mathematical logic)Mathematical optimizationLinear programmingProcess (engineering)Computer scienceBlack boxCombinatorial optimizationContext (language use)Multi-objective optimizationField (computer science)2015 International Conference on Industrial Engineering and Systems Management (IESM)
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An improved quantum query algorithm for computing AND Boolean function

2010

We consider the quantum query model for computing Boolean functions. The definition of the function is known, but a black box contains the input X = (x 1 , x 2 , …, x n ). Black box can be accessed by querying x i values. The goal is to develop an algorithm, which would compute the function value for arbitrary input using as few queries to the black box as possible. We present two different quantum query algorithms for computing the basic Boolean function — logical AND of two bits. Both algorithms use only one query to determine the function value. Correct answer probability for the first algorithm is 80%, but for the second algorithm it is 90%. To compute this function with the same probab…

Theoretical computer scienceComputational complexity theoryLogical conjunctionBlack boxGrover's algorithmAlgorithm designFunction (mathematics)Boolean functionAlgorithmComputer Science::DatabasesQuantum computerMathematicsIEEE Congress on Evolutionary Computation
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SAVU: A Statistical Approach for Uncertain Data in Dynamics of Axially Moving Materials

2012

In physics and engineering problems, model input is never exact. The effect of small uncertainties on the solution is thus an important question. In this study, a direct statistical-visual approach to approximate the solution set is investigated in the context of axially moving materials. The multidimensional probability distribution for the input uncertainties is assumed known. It is considered as a deterministic object, which is then mapped through the model. The resulting probability density of the model output is visualized. The proposed system consists of three non-trivial parts, which are briefly discussed: a multidimensional sampler, a density estimator, and a high dynamic range (HDR…

Uncertain dataApproximation errorBlack boxEstimatorProbability distributionControl engineeringProbability density functionTone mappingAlgorithmHigh dynamic range
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A black-box, general purpose quadratic self-consistent field code with and without Cholesky Decomposition of the two-electron integrals

2021

We present the implementation of a quadratically convergent self-consistent field (QCSCF) algorithm based on an adaptive trust-radius optimisation scheme for restricted open-shell Hartree���Fock (ROHF), restricted Hartree���Fock (RHF), and unrestricted Hartree���Fock (UHF) references. The algorithm can exploit Cholesky decomposition (CD) of the two-electron integrals to allow calculations on larger systems. The most important feature of the QCSCF code lies in its black-box nature ��� probably the most important quality desired by a generic user. As shown for pilot applications, it does not require one to tune the self-consistent field (SCF) parameters (damping, Pulay's DIIS, and other simil…

self-consistent fieldField (physics)Nuclear TheoryBiophysicsHartree–Fock methodsecond-orderFOS: Physical sciencesHartree–FockQuadratic equationBlack boxPhysics - Chemical PhysicsPhysics::Atomic and Molecular ClustersCode (cryptography)Applied mathematicsPhysical and Theoretical ChemistryPhysics::Chemical PhysicsMolecular BiologyMathematicsQuadratic growthCholesky decomposition; Hartree–Fock; Levenberg–Marquardt; second-order; self-consistent fieldChemical Physics (physics.chem-ph)Condensed Matter PhysicsLevenberg–Marquardt algorithmLevenberg–MarquardtCholesky decompositionCholesky decomposition
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Nonlinear black-box models for short-term forecasting of air temperature in the town of Palermo

2011

Weather data are crucial to correctly design buildings and their heating and cooling systems and to assess their energy performances. In the intensely urbanized towns the effect of climatic parameters is further emphasized by the Urban Heat Island (UHI) phenomenon, known as the increase in the air temperature of urban areas, compared to the one measured in the extra-urban areas. The analysis of the heat island needs detailed local climate data which can be collected only by a dedicated weather monitoring system. The Department of Energy and Environmental Researches of the University of Palermo (Italy) has built up a weather monitoring system that works 24 hours per day and makes data availa…

urban heat island.Settore ING-IND/11 - Fisica Tecnica AmbientaleMeteorologyartificial neural networks nonlinear black-box models MLP temperature short-term forecastingTerm (time)Weather stationNonlinear systemBlack boxAir temperatureClimatologyWeather dataEnvironmental scienceUrban heat islandIntensity (heat transfer)
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