Search results for "Programming"

showing 10 items of 3090 documents

An Interactive Multiple Objective Linear Programming Method for a Class of Underlying Nonlinear Utility Functions

1983

This paper develops a method for interactive multiple objective linear programming assuming an unknown pseudo concave utility function satisfying certain general properties. The method is an extension of our earlier method published in this journal (Zionts, S., Wallenius, J. 1976. An interactive programming method for solving the multiple criteria problem. Management Sci. 22 (6) 652–663.). Various technical problems present in predecessor versions have been resolved. In addition to presenting the supporting theory and algorithm, we discuss certain options in implementation and summarize our practical experience with several versions of the method.

Nonlinear systemClass (computer programming)Mathematical optimizationInteractive programmingLinear programmingMultiple objectiveStrategy and Managementmultiple criteria utility/preference: multi-attribute [programming]Function (mathematics)Extension (predicate logic)Management Science and Operations ResearchMathematicsLinear-fractional programmingManagement Science
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Interactive Nonlinear Multiobjective Procedures

2006

An overview of the interactive methods for solving nonlinear multiple criteria decision making problems is given. In interactive methods, the decision maker progressively provides preference information so that the most satisfactory compromise can be found. The basic features of several methods are introduced and some theoretical results are provided. In addition, references to modifications and applications as well as to other methods are indicated.

Nonlinear systemMathematical optimizationComputer scienceCompromisemedia_common.quotation_subjectMultiple criteriaDecision makerMulti-objective optimizationPreferenceNonlinear programmingmedia_common
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Some Methods for Nonlinear Multi-objective Optimization

2001

A general overview of nonlinear multiobjective optimization methods is given. The basic features of several methods are introduced so that an appropriate method could be found for different purposes. The methods are classified according to the role of a decision maker in the solution process. The main emphasis is devoted to interactive methods where the decision maker progressively provides preference information so that the most satisfactory solution can be found.

Nonlinear systemMathematical optimizationComputer scienceMulti-objective optimizationPreferenceNonlinear programming
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El análisis del discurso oral y su enseñanza

2015

Speaking a language does not only mean mastering the rules that govern its grammar, but also requires knowing how to communicate, as well as being able to interact efficiently in this language, exchanging and interpreting information in different registers and language varieties. It is necessary, therefore, to teach Pragmatics, understood as the analysis and reflection on the usage and on the strategic mechanisms displayed when speaking (acting), especially when the interaction takes place in specific communicative circumstances. Learning the oral component of a language must prepare students for the analysis of speech samples. By learning the oral aspects, students acquire some skills and …

Nonverbal communicationReflection (computer programming)Grammarmedia_common.quotation_subjectComponent (UML)PragmaticsPsychologyLinguisticsmedia_commonFilologia e Linguística Portuguesa
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A Comparison of Special Bonding Techniques for Transmission and Distribution Cables under Normal and Fault Conditions

2021

In this article, a review of the existing special bonding techniques for medium voltage and high-voltage cables is presented. Special bonding techniques have the purpose of reducing sheath currents, thereby limiting copper losses and the reduction of the ampacity of cables. The literature review shows various bonding techniques and how these have evolved over the years thanks to new technologies. Simulations of each technique are performed in MATLAB/Simulink, to compare their strengths and drawbacks both under normal conditions and in the presence of a single-line-to-ground fault.

Normal conditionsComputer science020209 energy020208 electrical & electronic engineeringMechanical engineering02 engineering and technologyspecial bonding techniquesFault (power engineering)Industrial and Manufacturing EngineeringCross bondingSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaTransmission (telecommunications)Control and Systems EngineeringElectromagnetic coilreactance bondingHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringsheath bonding transformersAmpacityElectrical and Electronic EngineeringReduction (mathematics)MATLABcomputerVoltagecomputer.programming_language
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Propagation pattern analysis during atrial fibrillation based on sparse modeling.

2012

In this study, sparse modeling is introduced for the estimation of propagation patterns in intracardiac atrial fibrillation (AF) signals. The estimation is based on the partial directed coherence function, derived from fitting a multivariate autoregressive model to the observed signal using least-squares (LS) estimation. The propagation pattern analysis incorporates prior information on sparse coupling as well as the distance between the recording sites. Two optimization methods are employed for estimation of the model parameters, namely, the adaptive group least absolute selection and shrinkage operator (aLASSO), and a novel method named the distance-adaptive group LASSO (dLASSO). Using si…

Normalization (statistics)Computer scienceAtrial fibrillation (AF)Biomedical EngineeringSignalPattern Recognition AutomatedElectrocardiographyelectrogramgroup least absolute selection and shrinkage operator (LASSO)Operator (computer programming)StatisticsAtrial FibrillationHumansComputer SimulationSelection (genetic algorithm)ShrinkageSignal processingNoise (signal processing)partial directed coherence (PDC)Models CardiovascularSignal Processing Computer-Assistedpropagation pattern analysiFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPattern recognition (psychology)AlgorithmAlgorithmsIEEE transactions on bio-medical engineering
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Biproportional methods of structural change analysis: A typological survey

2004

International audience; Analysts often are interested in learning how much an exchange system has changed over time or how two different exchange systems differ. Identifying structural difference in exchange matrices can be performed using either 'directed' or 'undirected' methods. Directed methods are based on the computation and comparison of column- or row-normalizations of the matrices. The choice of row or column for the normalization implies a specific direction of the exchanges, so that the column-wise normalized results should not be compared to the row-wise normalized results. In this category fall the simple comparison of coefficient matrices and the causative method. Undirected m…

Normalization (statistics)JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelscausative matrixComputationJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStructural difference[SHS.ECO]Humanities and Social Sciences/Economics and Financemathematical economicsinput-output analysisJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingbiproportionMedian filterJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceAlgorithmMathematicsRAS
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The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems

2019

The recently introduced Tsetlin Machine (TM) has provided competitive pattern classification accuracy in several benchmarks, composing patterns with easy-to-interpret conjunctive clauses in propositional logic. In this paper, we go beyond pattern classification by introducing a new type of TMs, namely, the Regression Tsetlin Machine (RTM). In all brevity, we modify the inner inference mechanism of the TM so that input patterns are transformed into a single continuous output, rather than to distinct categories. We achieve this by: (1) using the conjunctive clauses of the TM to capture arbitrarily complex patterns; (2) mapping these patterns to a continuous output through a novel voting and n…

Normalization (statistics)Scheme (programming language)Computer scienceInferenceProbability density function02 engineering and technologyPropositional calculusRegression020202 computer hardware & architecturePattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingNoise (video)Algorithmcomputercomputer.programming_language
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BANΔIT: B’‐factor Analysis for Drug Design and Structural Biology

2020

The analysis of B‐factor profiles from X‐ray protein structures can be utilized for structure‐based drug design since protein mobility changes have been associated with the quality of protein‐ligand interactions. With the BANΔIT (B’‐factor analysis and ΔB’ interpretation toolkit), we have developed a JavaScript‐based browser application that provides a graphical user interface for the normalization and analysis of B’‐factor profiles. To emphasize the usability for rational drug design applications, we have analyzed a selection of crystallographic protein‐ligand complexes and have given exemplary conclusions for further drug optimization including the development of a B’‐factor‐supported pha…

Normalization (statistics)Source codeComputer scienceBioinformaticsmedia_common.quotation_subjectDrug designB-factorMolecular modelingWeb BrowserJavaScriptcomputer.software_genre01 natural sciences03 medical and health sciencesStructural BiologyFactor (programming language)Drug DiscoveryApplication NoteHumansProtein flexibilityProtease Inhibitors030304 developmental biologycomputer.programming_languagemedia_commonGraphical user interface0303 health sciencesbusiness.industrySARS-CoV-2Organic ChemistryComputational BiologyUsabilityAdenosine Monophosphate0104 chemical sciencesComputer Science ApplicationsCOVID-19 Drug Treatment010404 medicinal & biomolecular chemistryDrug DesignMolecular MedicineData miningPharmacophorebusinesscomputerMolecular Informatics
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Evidence for a spin-aligned neutron-proton paired phase from the level structure of (92)Pd

2011

4 páginas, 4 figuras.-- El Pdf es la versión pre-print.-- et al.

Nuclear TheoryProton[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]Nuclear TheoryFOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]pairingNuclear Theory (nucl-th)Magic number (programming)spin-alignementPhysics::Atomic and Molecular ClustersNuclear forceNeutronNuclear structureNuclear Experiment (nucl-ex)Spin (physics)Nuclear ExperimentNuclear ExperimentPhysicsMultidisciplinaryta114Nuclear structureNuclear shell modelAtomic nucleusFísica nuclearAtomic physics
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