Search results for "Mathematica"

showing 10 items of 7971 documents

From art to geometry: Aesthetic and beauty in the learning process

2015

Starting from the concept that knowledge comes as element of mediation between the convergent thinking, founded on experience, and the divergent thinking, placed in the perceptive, intuitive, creative dimension, in this paper we want to present an idea for developing an educational path combining the concept of “beauty” and some historical notes. It is possible to use this dissertation as a starting point to conceive a geometric laboratory that drawing inspiration from artistic works, get to create geometric shapes provided with fascinating symmetries

creative thoughtPrimary 00A66 Secondary 00A35Hypocycloids; creative thought; mathematical thought; art.History and Overview (math.HO)Mathematics - History and OverviewHypocycloids creative thought mathematical thought art.FOS: MathematicsHypocycloidsSettore MAT/04 - Matematiche Complementarimathematical thoughtart
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Propuesta de unidad didáctica del concepto de integral y del cálculo de primitivas

2010

En este Trabajo Fin de Máster se va a proceder a desarrollar una propuesta de unidad didáctica sobre el concepto de integral y el cálculo de primitivas. Ambos temas, en orden contrario, fueron de los que me encargué de desarrollar en mis prácticas. Como trataré más adelante, la forma tradicional de introducir estos temas a los alumnos es comenzar con el cálculo de primitivas o antiderivadas para después, una vez que los alumnos tienen suficiente destreza en el cálculo de las mismas, continuar con el teorema fundamental del cálculo y la regla de Barrow, es decir, las integrales definidas, convirtiéndose dichos conceptos en transparentes para los alumnos y sin llegar a ser asimilados correcta…

cálculo integraldidáctica del análisis matemáticoadvanced mathematical thinkingintegral calculusUNESCO::PEDAGOGÍA::Preparación y empleo de profesores::Preparación de profesoresdidáctica de las matemáticasmathematics educationUNESCO::PEDAGOGÍA::Organización y planificación de la educación::Desarrollo de asignaturasUNESCO::MATEMÁTICAS
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Data-Driven Interactive Multiobjective Optimization Using a Cluster-Based Surrogate in a Discrete Decision Space

2019

In this paper, a clustering based surrogate is proposed to be used in offline data-driven multiobjective optimization to reduce the size of the optimization problem in the decision space. The surrogate is combined with an interactive multiobjective optimization approach and it is applied to forest management planning with promising results. peerReviewed

data-driven optimizationMathematical optimizationOptimization problemComputer scienceboreal forest managementComputer Science::Neural and Evolutionary Computationpäätöksenteko0211 other engineering and technologiesMathematicsofComputing_NUMERICALANALYSISdecision maker02 engineering and technologypreference informationSpace (commercial competition)Multi-objective optimizationComputingMethodologies_ARTIFICIALINTELLIGENCEData-drivenklusteritoptimointi0202 electrical engineering electronic engineering information engineeringCluster analysis021103 operations researchsurrogatesComputingMethodologies_PATTERNRECOGNITIONboreaalinen vyöhyke020201 artificial intelligence & image processingmetsänhoitoCluster basedclustering
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Data-Driven Evolutionary Optimization: An Overview and Case Studies

2019

Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…

data-driven optimizationMathematical optimizationOptimization problemmodel managementevoluutiolaskenta02 engineering and technologymatemaattinen optimointiEvolutionary computationTheoretical Computer ScienceData modelingData-drivenModel managementkoneoppiminenComputational Theory and MathematicsdatatiedeoptimointiTaxonomy (general)Constraint functionsalgoritmit0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingsurrogateevolutionary algorithmsSoftware
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A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

data-driven optimizationPareto optimalityEngineeringBlast furnaceMathematical optimizationOptimization problemmodel managementblast furnaceEvolutionary algorithm02 engineering and technologyMulti-objective optimizationIndustrial and Manufacturing Engineering020501 mining & metallurgyData-drivenironmakingoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceta113business.industrypareto-tehokkuusMechanical EngineeringProcess (computing)metamodelingMetamodeling0205 materials engineeringmulti-objective optimizationMechanics of MaterialsPrincipal component analysis020201 artificial intelligence & image processingbusinessrautateollisuus
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$PT$-symmetric graphene under a magnetic field

2016

We propose a $PT$-symmetrically deformed version of the graphene tight-binding model under a magnetic field. We analyze the structure of the spectra and the eigenvectors of the Hamiltonians around the $K$ and $K'$ points, both in the $PT$-symmetric and $PT$-broken regions. In particular we show that the presence of the deformation parameter $V$ produces several interesting consequences, including the asymmetry of the zero-energy states of the Hamiltonians and the breakdown of the completeness of the eigenvector sets. We also discuss the biorthogonality of the eigenvectors, which {turns out to be} different in the $PT$-symmetric and $PT$-broken regions.

deformed grapheneGeneral Mathematicsmedia_common.quotation_subjectMathematicsofComputing_GENERALStructure (category theory)General Physics and AstronomyFOS: Physical sciencesDeformation (meteorology)01 natural sciencesAsymmetrySpectral linelaw.inventionTheoretical physicslawCompleteness (order theory)0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)biorthogonal eigenstate010306 general physicsSettore MAT/07 - Fisica MatematicaEigenvalues and eigenvectorsResearch ArticlesMathematical Physicsmedia_commonPhysicsCondensed Matter - Mesoscale and Nanoscale Physics010308 nuclear & particles physicsGrapheneGeneral Engineering-symmetric HamiltonianMathematical Physics (math-ph)Magnetic field
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Are all denumerable sets of numbers order-isomorphic?

2018

International audience; In this paper we study cognitive conflicts on the issue of number sets being dense, ordered and denumerable. We first provide historical-epistemological background related to these notions. Then we consider the cognitive conflicts under the lenses of concept image and concept definition, which we use to analyse empirical data collected in order to understand better the didactical and cognitive issues at stake.

denumerable setConcept image and concept definition.Teaching and learning of analysis and calculus[SHS.EDU]Humanities and Social Sciences/Education[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO]Ordered setDensityEpistemological studies of mathematical topicsconcept image versus definition
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Non-standard Problems in an Ordinary Differential Equations Course

2018

International audience; We report first results from a teaching intervention in an ordinary differential equations (ODEs) course for engineering students. Our aim is to challenge traditional approaches to teaching of Existence and Uniqueness Theorems (EUTs) through the design of problems that students cannot solve by applying well-rehearsed techniques or familiar methods. We analyse how the use of nonstandard problems contributes to the development of students' conceptual understanding of EUTs and ODEs.

design researchnon-standard problemsordinary differential equations[SHS.EDU]Humanities and Social Sciences/Education[MATH.MATH-HO]Mathematics [math]/History and Overview [math.HO][SHS.EDU] Humanities and Social Sciences/Education[MATH.MATH-HO] Mathematics [math]/History and Overview [math.HO]ComputingMilieux_COMPUTERSANDEDUCATIONmathematical discoursecommognitive theoryexistence and uniqueness theoremsnonstandard problems
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Performance of $b$-Jet Identification in the ATLAS Experiment

2016

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT an…

detector-systems performancePerformance of High Energy Physics Detectorsecondary [vertex]Elementary particle01 natural sciencesPARTONlaw.inventionSubatomär fysikCHANNELcluster findingscattering [p p]impact parameterGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)протон-протонные столкновенияQBLarge detector-systems performanceHigh energy physics detectorLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physicstrack data analysisQUARK PAIR PRODUCTIONbottom [jet]CERN LHC CollPattern recognition cluster finding calibration and fitting method7000 GeV-cmscolliding beams [p p]performanceHADRONIC COLLISIONSCiências Naturais::Ciências FísicasLarge detectorFitting methodHigh energy physicATLAS LHC High Energy Physics510 MathematicsmuonDISTRIBUTIONSUncertainty analysis Astroparticle physicHigh Energy Physics010306 general physicsSystematic uncertainties AlgorithmsAstroparticle physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsParticle acceleratorRangingPerformance of High Energy PhysicsCOLLIDERScorrelationExperimental High Energy PhysicsPerformance of High Energy Physics DetectorshadronATLAS детекторБольшой адронный коллайдерcharm [jet]Elementary particleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationUncertainty analysisMathematical PhysicsPhysicsPattern recognition cluster finding calibration and fitting methods4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleDetectorsflavor [jet]calibration and fitting methodsATLASLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large; detector-systems performance; Pattern recognition cluster finding; calibration and fitting methods; Performance of High Energy Physics; Detectors; PRODUCTION CROSS-SECTION; QUARK PAIR PRODUCTION; ROOT-S=7 TEV; PARTON; DISTRIBUTIONS; HADRONIC COLLISIONS; MATRIX-ELEMENTS; LHC; COLLIDERS; DETECTOR; CHANNEL8. Economic growthCalibrationparticle identification [bottom]LHCImpact parameterParticle Physics - ExperimentParticle physicsdata analysis method530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciences530MATRIX-ELEMENTSparticle identification [charm]on-line [trigger]Pattern recognition0103 physical sciencesComplementary methodddc:610DETECTORROOT-S=7 TEVCluster findingFísicaLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics DetectorsPattern recognition systemcalibrationtracksPRODUCTION CROSS-SECTIONefficiencyHadronLarge detector systems for particle and astroparticle physicLargeHigh Energy Physics::ExperimentStatistical correlationstatisticalexperimental results
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Volume I. Introduction to DUNE

2020

Journal of Instrumentation 15(08), T08008 (1-228) (2020). doi:10.1088/1748-0221/15/08/T08008

detector: technologydeep underground detector [neutrino]530 PhysicsPhysics::Instrumentation and DetectorsData managementmedia_common.quotation_subjectfar detector610Long baseline neutrino experiment CP violation01 natural sciences030218 nuclear medicine & medical imagingNeutrino oscillations. Neutrino Detectors. CP violation. Matter stabilitydesign [detector]03 medical and health sciencesneutrinoneutrino: deep underground detector0302 clinical medicinenear detector0103 physical sciencesDeep Underground Neutrino Experimentddc:610Neutrino oscillationInstrumentationdetector: designMathematical Physicsactivity reportmedia_common010308 nuclear & particles physicsbusiness.industryNeutrino oscillations. Neutrino Detectors. CP violation. Matter stability.DetectorVolume (computing)Modular designtime projection chamber: liquid argonUniversetechnology [detector]liquid argon [time projection chamber]Systems engineeringHigh Energy Physics::ExperimentNeutrino oscillations DUNE technical design report executive summary detector technologiesdata managementNeutrinobusiness
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