Search results for "Linear methods"

showing 5 items of 5 documents

NUMERICAL ALGORITHMS

2013

For many systems of differential equations modeling problems in science and engineering, there are natural splittings of the right hand side into two parts, one non-stiff or mildly stiff, and the other one stiff. For such systems implicit-explicit (IMEX) integration combines an explicit scheme for the non-stiff part with an implicit scheme for the stiff part. In a recent series of papers two of the authors (Sandu and Zhang) have developed IMEX GLMs, a family of implicit-explicit schemes based on general linear methods. It has been shown that, due to their high stage order, IMEX GLMs require no additional coupling order conditions, and are not marred by order reduction. This work develops a …

General linear methodsMathematical optimizationIMEX methods; general linear methods; error analysis; order conditions; stability analysisIMEX methodsDifferential equationSCHEMESorder conditionsMathematics AppliedExtrapolationStability (learning theory)QUADRATIC STABILITYstability analysisPARABOLIC EQUATIONSSYSTEMSNORDSIECK METHODSFOS: MathematicsApplied mathematicsMathematics - Numerical AnalysisRUNGE-KUTTA METHODSMULTISTEP METHODSerror analysisMathematicsCONSTRUCTIONSeries (mathematics)Applied MathematicsNumerical analysisComputer Science - Numerical AnalysisStability analysisORDEROrder conditionsNumerical Analysis (math.NA)Computer Science::Numerical AnalysisRunge–Kutta methodsGeneral linear methodsError analysisORDINARY DIFFERENTIAL-EQUATIONSOrdinary differential equationgeneral linear methodsMathematics
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Multiple imputation of rainfall missing data in the Iberian Mediterranean context

2017

Abstract Given the increasing need for complete rainfall data networks, in recent years have been proposed diverse methods for filling gaps in observed precipitation series, progressively more advanced that traditional approaches to overcome the problem. The present study has consisted in validate 10 methods (6 linear, 2 non-linear and 2 hybrid) that allow multiple imputation, i.e., fill at the same time missing data of multiple incomplete series in a dense network of neighboring stations. These were applied for daily and monthly rainfall in two sectors in the Jucar River Basin Authority (east Iberian Peninsula), which is characterized by a high spatial irregularity and difficulty of rainfa…

Mediterranean climateAtmospheric Science010504 meteorology & atmospheric sciencesSeries (mathematics)Computer science0208 environmental biotechnologyContext (language use)02 engineering and technologycomputer.software_genreMissing dataHybrid approach01 natural sciencesLinear methods020801 environmental engineeringExpectation–maximization algorithmStatisticsData miningPrecipitationcomputer0105 earth and related environmental sciencesAtmospheric Research
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Linear vs. non-linear classification of winners, drawers and losers at FIFA World Cup 2014

2017

Purpose: Tactical analyses to distinguish between football teams that were more or less successful have been conducted up to now only by means of linear methods (like discriminant analysis). Concer...

EngineeringOperations researchbusiness.industry030209 endocrinology & metabolismPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciencesFootballLinear discriminant analysisMachine learningcomputer.software_genreLinear methods03 medical and health sciencesNonlinear system0302 clinical medicineTourism Leisure and Hospitality ManagementNotational analysisOrthopedics and Sports MedicineArtificial intelligencebusinesscomputerScience and Medicine in Football
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Comparison of Methods for the Assessment of Nonlinearity in Short-Term Heart Rate Variability under different Physiopathological States

2019

Despite the widespread diffusion of nonlinear methods for heart rate variability (HRV) analysis, the presence and the extent to which nonlinear dynamics contribute to short-term HRV are still controversial. This work aims at testing the hypothesis that different types of nonlinearity can be observed in HRV depending on the method adopted and on the physiopathological state. Two entropy-based measures of time series complexity (normalized complexity index, NCI) and regularity (information storage, IS), and a measure quantifying deviations from linear correlations in a time series (Gaussian linear contrast, GLC), are applied to short HRV recordings obtained in young (Y) and old (O) healthy su…

AdultMaleFOS: Computer and information sciencesTime Factorsnonlinear dynamicSupine positionEntropyQuantitative Biology::Tissues and OrgansPhysics::Medical PhysicsGeneral Physics and Astronomysample entropyStatistics - ApplicationsQuantitative Biology - Quantitative Methods01 natural sciences010305 fluids & plasmasSurrogate dataComplexity indexHeart Rateinformation storage0103 physical sciencesStatisticsHumansHeart rate variabilityApplications (stat.AP)010306 general physicsMathematical PhysicsQuantitative Methods (q-bio.QM)MathematicsApplied MathematicsNonlinear methodsHealthy subjectsStatistical and Nonlinear PhysicsMiddle AgedNonlinear systemComplex dynamicsNonlinear DynamicsFOS: Biological sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFemaleHeart rate variability (HRV)
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Linear Methods in Nilpotent Groups

1982

The subject of this chapter is commutator calculation. It will be recalled that the commutator [x, y] of two elements x, y of a group is defined by the relation $$ [x,y] = {{x}^{{ - 1}}}{{y}^{{ - 1}}}xy. $$ . We then have $$ [xy,z] = {{[x,z]}^{y}}[y,z],\quad [x,yz] = [x,z]{{[x,y]}^{z}}. $$ . These relations are rather similar to the conditions for bilinearity of forms, and there are a number of ways of formalizing this similarity. Once this is done, commutator calculations can be done by linear methods. Several examples of theorems proved by this method will be given in this chapter.

PhysicsDiscrete mathematicsNilpotentGroup (mathematics)lawAssociative algebraCommutator (electric)UnipotentNilpotent groupCentral seriesLinear methodslaw.invention
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