Search results for "Python"

showing 10 items of 160 documents

On complexity and motion planning for co-rank one sub-Riemannian metrics

2004

In this paper, we study the motion planning problem for generic sub-Riemannian metrics of co-rank one. We give explicit expressions for the metric complexity (in the sense of Jean (10,11)), in terms of the elementary invariants of the problem. We construct asymptotic optimal syntheses. It turns out that among the results we show, the most complicated case is the 3-dimensional. Besides the generic C ∞ case, we study some non-generic generalizations in the analytic case.

CombinatoricsAlgebraComputational MathematicsControl and OptimizationRank (linear algebra)Control and Systems EngineeringMetric (mathematics)Motion planningConstruct (python library)MathematicsESAIM: Control, Optimisation and Calculus of Variations
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Vector coherent states and intertwining operators

2009

In this paper we discuss a general strategy to construct vector coherent states of the Gazeau-Klauder type and we use them to built up examples of isospectral hamiltonians. For that we use a general strategy recently proposed by the author and which extends well known facts on intertwining operators. We also discuss the possibility of constructing non-isospectral hamiltonians with related eigenstates.

Statistics and ProbabilityComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Construct (python library)Intertwining operatorcoherent statesType (model theory)AlgebraIsospectralOperator (computer programming)Modeling and SimulationCoherent statesMathematics::Mathematical PhysicsSettore MAT/07 - Fisica MatematicaEigenvalues and eigenvectorsMathematical Physics
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Resurgent Deformation Quantisation

2013

We construct a version of the complex Heisenberg algebra based on the idea of endless analytic continuation. In particular, we exhibit an integral formula for the product of resurgent operators with algebraic singularities. This algebra would be large enough to capture quantum effects that escape ordinary formal deformation quantisation.

PhysicsQuantum PhysicsAnalytic continuationGeneral Physics and AstronomyFOS: Physical sciencesConstruct (python library)Mathematical Physics (math-ph)Deformation (meteorology)Theoretical physicsMathematics - Algebraic GeometryMathematics - Quantum AlgebraFOS: MathematicsQuantum Algebra (math.QA)Algebra over a fieldQuantum Physics (quant-ph)Algebraic Geometry (math.AG)Mathematical Physics
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An academic performance indicator using flexible multi-criteria methods

2021

Composite indicators are a very useful tool for conveying summary information on the overall performance of institutions and facilitating decision-making. Increasingly, there is a demand for indicators that allow performance to be assessed after the implementation of a strategy. This has several difficulties, and in this paper, we address three of them: how to evaluate at different points in time, how to estimate the weighting of the criteria and how to normalize the data. Our proposal is based on multicriteria techniques, using a recent method, uwTOPSIS, and is applied to data collected from 2975 students enrolled in the first year of science and engineering at the Industrial University of…

Operations researchComputer scienceGeneral MathematicsData management:CIENCIAS ECONÓMICAS [UNESCO]Computer Science (miscellaneous)QA1-939TOPSISEngineering (miscellaneous)MCDMcomputer.programming_languageMeasure (data warehouse)business.industryuwTOPSISR Programming LanguageTOPSISUNESCO::CIENCIAS ECONÓMICASPython (programming language)topsisMultiple-criteria decision analysismcdmWeightinguwtopsisacademic performance indicatorPerformance indicatorbusinesscomputercomposite indicatorsMathematics
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Psi4: an open-source ab initio electronic structure program

2011

The Psi4 program is a new approach to modern quantum chemistry, encompassing Hartree–Fock and density-functional theory to configuration interaction and coupled cluster. The program is written entirely in C++ and relies on a new infrastructure that has been designed to permit high-efficiency computations of both standard and emerging electronic structure methods on conventional and high-performance parallel computer architectures. Psi4 offers flexible user input built on the Python scripting language that enables both new and experienced users to make full use of the program's capabilities, and even to implement new functionality with moderate effort. To maximize its impact and usefulness, …

Theoretical computer scienceComputer scienceProgramming languageComputationAb initioElectronic structureConfiguration interactionPython (programming language)computer.software_genreBiochemistryComputer Science ApplicationsComputational MathematicsCoupled clusterScripting languageMaterials ChemistryPhysical and Theoretical ChemistrycomputerLicensecomputer.programming_languageWiley Interdisciplinary Reviews: Computational Molecular Science
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Better numerical approximation by Durrmeyer type operators

2018

The main object of this paper is to construct new Durrmeyer type operators which have better features than the classical one. Some results concerning the rate of convergence and asymptotic formulas of the new operator are given. Finally, the theoretical results are analyzed by numerical examples.

41A25 41A36Applied Mathematics010102 general mathematicsConstruct (python library)Numerical Analysis (math.NA)Type (model theory)Object (computer science)01 natural sciences010101 applied mathematicsMathematics (miscellaneous)Operator (computer programming)Rate of convergenceNumerical approximationFOS: MathematicsApplied mathematicsMathematics - Numerical Analysis0101 mathematicsMathematics
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A Monge-Kantorovich mass transport problem for a discrete distance

2011

This paper is concerned with a Monge-Kantorovich mass transport problem in which in the transport cost we replace the Euclidean distance with a discrete distance. We fix the length of a step and the distance that measures the cost of the transport depends of the number of steps that is needed to transport the involved mass from its origin to its destination. For this problem we construct special Kantorovich potentials, and optimal transport plans via a nonlocal version of the PDE formulation given by Evans and Gangbo for the classical case with the Euclidean distance. We also study how these problems, when rescaling the step distance, approximate the classical problem. In particular we obta…

Mass transportMass transportMonge-Kantorovich problemsNonlocal problems010102 general mathematicsMathematical analysisConstruct (python library)01 natural sciences010101 applied mathematicsEuclidean distance0101 mathematicsAnalysisMathematicsMonge–Kantorovich problems
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Data Sources and Models

2017

Biological networks rely on the storage and retrieval of data associated to the physical interactions and/or functional relationships among different actors. In particular, the attention may be on the interactions among cellular components, such as proteins, genes, RNA, or for example on phenotype–genotype associations. Data from which biological networks are built are usually stored in public databases, and we provide here a brief summary of the main types of both data and associations, publicly available. Moreover, we also explain how it is possible to construct suitable network models from these associations, focusing on protein–protein interaction networks, gene–disease networks and net…

Biological dataComputer scienceConstruct (python library)Computational biologyBiological networkNetwork modelProtein–protein interaction
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An airline connection builder using maximum connection lag with greedy parameter selection

2014

Abstract This paper introduces a methodology for designing an airline connection builder (CB) and adjusting its parameter settings. The objective of the proposed CB is to construct relevant connections that attract passenger demand while avoiding operationally infeasible and commercially irrelevant connections. Using worldwide MIDT booking data, we examined the sensitivity of CB results to the setting of the standard CB parameters maximum connection time and geographical detour. We demonstrated that CB performance can be increased by replacing these two parameters with connection lag, a measure that combines the impact of connection time with geographical detour on the total travel time of …

Mathematical optimizationComputer scienceStrategy and ManagementLagTransportationConstruct (python library)Management Monitoring Policy and LawMeasure (mathematics)Connection timeConnection (mathematics)Travel timeSensitivity (control systems)LawSelection (genetic algorithm)SimulationJournal of Air Transport Management
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OpenTIMS, TimsPy, and TimsR: Open and Easy Access to timsTOF Raw Data

2021

The Bruker timsTOF Pro is an instrument that couples trapped ion mobility spectrometry (TIMS) to high-resolution time-of-flight (TOF) mass spectrometry (MS). For proteomics, lipidomics, and metabolomics applications, the instrument is typically interfaced with a liquid chromatography (LC) system. The resulting LC-TIMS-MS data sets are, in general, several gigabytes in size and are stored in the proprietary Bruker Tims data format (TDF). The raw data can be accessed using proprietary binaries in C, C++, and Python on Windows and Linux operating systems. Here we introduce a suite of computer programs for data accession, including OpenTIMS, TimsR, and TimsPy. OpenTIMS is a C++ library capable …

Proteomics0301 basic medicineSwift030102 biochemistry & molecular biologyComputer scienceReading (computer)SuiteGeneral Chemistrycomputer.file_formatPython (programming language)Hierarchical Data Formatcomputer.software_genreBiochemistryMass Spectrometry03 medical and health sciences030104 developmental biologyData accessIon Mobility SpectrometryOperating systemRaw datacomputerSoftwareChromatography Liquidcomputer.programming_languageCodebaseJournal of Proteome Research
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