Search results for "computational"

showing 10 items of 5884 documents

The Future of Technology in Positive Psychology: Methodological Advances in the Science of Well-Being

2018

Advances in biotechnology and information technology are poised to transform well-being research. This article reviews the technologies that we predict will have the most impact on both measurement and intervention in the field of positive psychology over the next decade. These technologies include: psychopharmacology, non-invasive brain stimulation, virtual reality environments, and big-data methods for large-scale multivariate analysis. Some particularly relevant potential costs and benefits to individual and collective well-being are considered for each technology as well as ethical considerations. As these technologies may substantially enhance the capacity of psychologists to intervene…

non-invasive brain stimulationpositive psychologylcsh:BF1-990050109 social psychologycomputational linguistics03 medical and health sciences0302 clinical medicinePsychology0501 psychology and cognitive sciencesGeneral PsychologypsychopharmacologyCost–benefit analysisbusiness.industry05 social sciencesInformation technologyIntervention (law)lcsh:PsychologyBrain stimulationPerspectivetechnologyWell-beingvirtual realityEngineering ethicsPositive psychologybusinessPsychology030217 neurology & neurosurgeryFrontiers in Psychology
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CALIBRATION OF LÉVY PROCESSES USING OPTIMAL CONTROL OF KOLMOGOROV EQUATIONS WITH PERIODIC BOUNDARY CONDITIONS

2018

We present an optimal control approach to the problem of model calibration for L\'evy processes based on a non parametric estimation procedure. The calibration problem is of considerable interest in mathematical finance and beyond. Calibration of L\'evy processes is particularly challenging as the jump distribution is given by an arbitrary L\'evy measure, which form a infinite dimensional space. In this work, we follow an approach which is related to the maximum likelihood theory of sieves. The sampling of the L\'evy process is modelled as independent observations of the stochastic process at some terminal time $T$. We use a generic spline discretization of the L\'evy jump measure and selec…

non-parametric maximum likelihood methodOptimization problemDiscretizationL ́evy processesoptimal control of PIDE010103 numerical & computational mathematics01 natural sciences93E10 (primary) 49K20 60G51 62G05 (secondary)010104 statistics & probabilitysymbols.namesakeConjugate gradient methodIMEX numerical methodQA1-939Applied mathematics0101 mathematicsMathematics - Optimization and ControlMathematicsKolmogorov-Fokker-Planck equationoptimal control of PIDE Kolmogorov-Fokker-Planck equation L ́evy processes non-parametric maximum likelihood method IMEX numerical method.SolverOptimal controlSpline (mathematics)Lévy processesModeling and SimulationLagrange multipliersymbolsAkaike information criterionMathematicsAnalysisMathematical Modelling and Analysis
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Very narrow quantum OBDDs and width hierarchies for classical OBDDs

2014

In the paper we investigate a model for computing of Boolean functions - Ordered Binary Decision Diagrams (OBDDs), which is a restricted version of Branching Programs. We present several results on the comparative complexity for several variants of OBDD models. - We present some results on the comparative complexity of classical and quantum OBDDs. We consider a partial function depending on a parameter k such that for any k > 0 this function is computed by an exact quantum OBDD of width 2, but any classical OBDD (deterministic or stable bounded-error probabilistic) needs width 2 k+1. - We consider quantum and classical nondeterminism. We show that quantum nondeterminism can be more efficien…

nondeterminismFOS: Computer and information sciencespartial functionsGeneral Mathematicsquantum computation010102 general mathematics0102 computer and information sciencesOBDDComputational Complexity (cs.CC)Computer Science::Artificial IntelligenceComputer Science::Computational Complexity01 natural scienceswidth hierarchyComputer Science - Computational Complexity010201 computation theory & mathematicsComputer Science::Logic in Computer Science0101 mathematics
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On a nonlinear Schrödinger equation for nucleons in one space dimension

2021

We study a 1D nonlinear Schrödinger equation appearing in the description of a particle inside an atomic nucleus. For various nonlinearities, the ground states are discussed and given in explicit form. Their stability is studied numerically via the time evolution of perturbed ground states. In the time evolution of general localized initial data, they are shown to appear in the long time behaviour of certain cases.

numerical studySpace dimensionNonlinear Schrö010103 numerical & computational mathematicsNonlinear Schrödinger equations01 natural sciencesStability (probability)symbols.namesakeMathematics - Analysis of PDEs[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Mathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]dinger equationsNonlinear Schrödinger equationMathematicsMSC 35Q55 35C08 65M70Numerical AnalysisApplied Mathematics010102 general mathematicsTime evolutionground statesComputational MathematicsClassical mechanicsModeling and SimulationAtomic nucleussymbolsParticleNucleonAnalysis[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
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Finnish teachers’ and students’ programming motivation and their role in teaching and learning computational thinking

2022

Introduction: Despite the growing importance of teaching and learning computational thinking (CT) through programming in schools, research has shown major individual differences in teachers’ instruction emphasis and students’ skills in these topics. Objective: This study aims to shed further light on the role that teachers’ and students’ programming motivation plays in CT. Methods: The topic is approached from the viewpoint of the self-determination theory, which can help to understand teachers’ instruction and students’ learning. Our sample consisted of Finnish Grade 8 teachers (N = 1,853) and students (N = 2,546) who participated in the International Computer and Information Literacy Stud…

omaehtoisuusperusopetusteacherscomputational thinkingstudentsopiskelijatbasic educationohjelmointiopettajatprogrammingintrinsic motivationextrinsic motivationICILS
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Solar radiative effects of a Saharan dust plume observed during SAMUM assuming spheroidal model particles

2011

The solar optical properties of Saharan mineral dust observed during the Saharan Mineral Dust Experiment (SAMUM) were explored based on measured size-number distributions and chemical composition. The size-resolved complex refractive index of the dust was derived with real parts of 1.51–1.55 and imaginary parts of 0.0008–0.006 at 550 nm wavelength. At this spectral range a single scattering albedo ω o and an asymmetry parameter g of about 0.8 were derived. These values were largely determined by the presence of coarse particles. Backscatter coefficients and lidar ratios calculated with Mie theory (spherical particles) were not found to be in agreement with independently measured lidar data.…

optical propertiesAtmospheric Scienceradiative transfer simulationsMaterials sciencespectral radiative flux densities010504 meteorology & atmospheric sciencesSingle-scattering albedospheroidal aerosol particlesMie scatteringAtmosphärische SpurenstoffeMineralogy010501 environmental sciencesMineral dustAtmosphärenprozessoren01 natural sciencesComputational physicsSaharan mineral dustExtinction (optical mineralogy)Radiative transferParticlescattering databaseParticle sizeAstrophysics::Earth and Planetary AstrophysicsOptical depth0105 earth and related environmental sciencesTellus B
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Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case

2017

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive …

optimization problemsMathematical optimizationComputer scienceStrategy and Managementmedia_common.quotation_subjectConstraint (computer-aided design)0211 other engineering and technologiesmultiple criteria decision makingGeneral Decision Sciences02 engineering and technologyMulti-objective optimizationOutcome (game theory)evolutionary multicriteria optimizationEngineering optimizationmulticriteria optimization0202 electrical engineering electronic engineering information engineeringPoint (geometry)Business caseFunction (engineering)media_commonta113Computational model021103 operations researchmetamodelsexpensive optimization problemssurrogatesexpensesmachine learning020201 artificial intelligence & image processing
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Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations

2022

Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. Peer reviewed

organizationscomputational modelingliiketoimintaprosessitGeneral Computer Scienceinterviewsbusiness practicesohjelmistotuotantoorganisaatiotmonitorointitekoäly113 Computer and information sciencesartificial intelligencelearning systemsdata modelsmonitoringmachine learningkoneoppiminenälytekniikkahaastattelututkimussoftware engineering
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Benson group additivity values of phosphines and phosphine oxides: Fast and accurate computational thermochemistry of organophosphorus species

2018

Composite quantum chemical methods W1X-1 and CBS-QB3 are used to calculate the gas phase standard enthalpy of formation, entropy, and heat capacity of 38 phosphines and phosphine oxides for which reliable experimental thermochemical information is limited or simply nonexistent. For alkyl phosphines and phosphine oxides, the W1X-1, and CBS-QB3 results are mutually consistent and in excellent agreement with available G3X values and empirical data. In the case of aryl-substituted species, different computational methods show more variation, with G3X enthalpies being furthest from experimental values. The calculated thermochemical data are subsequently used to determine Benson group additivity …

organophosphorus speciesEmpirical dataphosphine oxideslämpökemiaThermodynamics010402 general chemistry01 natural sciencesHeat capacitychemistry.chemical_compoundAdditive function0103 physical sciencesThermochemistrythermochemistryta116AlkylQuantum chemicalchemistry.chemical_classification010304 chemical physicsGeneral Chemistrylaskennallinen kemiaStandard enthalpy of formation0104 chemical sciencesComputational MathematicsphosphineschemistryPhosphineJournal of Computational Chemistry
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Structure ofD-ribonic acid-dimethyltin(IV) in coordinating solvents: an experimental and DFT119Sn NMR study

2006

We have investigated a newly synthesized complex of D-ribonic acid with dimethyltin(IV). The structure of the complex in solution has been characterized by means of 1 H, 13 C, and 119 Sn NMR and by DFT calculations. The comparison of experimental and computational results allowed the determination of the stable conformation in solution as well as the detection of a dimerization process. Moreover, evidence is given of active coordination of the metal by the solvent.

organotin compounds; ribonic acid; carbohydrate-metal complexes; 119Sn NMR; DFT calculationsChemistryOrganic Chemistrycarbohydratestin compoundstin-119carbohydrates; tin compounds; tin-119; NMR spectroscopy; computational chemistrycomputational chemistryMetalSolventNMR spectroscopyComputational chemistryvisual_art119Sn NMR Carbohydrate-metal complexes DFT calculations Organotin compounds Ribonic acidvisual_art.visual_art_mediumOrganic chemistryPhysical and Theoretical ChemistryJournal of Physical Organic Chemistry
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