Search results for "Small set"

showing 8 items of 8 documents

Search for a Minimal Set of Parameters by Assessing the Total Optimization Potential for a Dynamic Model of a Biochemical Network.

2017

Selecting an efficient small set of adjustable parameters to improve metabolic features of an organism is important for a reduction of implementation costs and risks of unpredicted side effects. In practice, to avoid the analysis of a huge combinatorial space for the possible sets of adjustable parameters, experience-, and intuition-based subsets of parameters are often chosen, possibly leaving some interesting counter-intuitive combinations of parameters unrevealed. The combinatorial scan of possible adjustable parameter combinations at the model optimization level is possible; however, the number of analyzed combinations is still limited. The total optimization potential (TOP) approach is…

0301 basic medicineMathematical optimizationLinear programmingApplied Mathematics0206 medical engineeringComputational Biology02 engineering and technologySaccharomyces cerevisiaeModels BiologicalSmall setBiochemical networkEnzymes03 medical and health sciences030104 developmental biologyFermentationGeneticsComputer SimulationMETABOLIC FEATURESGlycolysis020602 bioinformaticsMetabolic Networks and PathwaysBiotechnologyMathematicsIntuitionIEEE/ACM transactions on computational biology and bioinformatics
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On the reliability of ASHRAE conduction transfer function coefficients of walls

2000

The transfer function method recommended by the ASHRAE can be considered the most modern tool currently available for the thermal analysis of a building. It is particularly well suited for use with a computer as it makes it possible to describe with great accuracy the internal heat gain of walls using a small set of coefficients. The present paper shows how to calculate sets of coefficients diverse from that proposed by Mitalas who first developed the method and on the basis of an unequivocal criterion, to prove the advantages in using them. The authors also investigated some of the paramount mathematical and physical aspects which affect the approximation degree of the ASHRAE method and, w…

EngineeringBasis (linear algebra)business.industryThermal insulationASHRAE 90.1Energy Engineering and Power TechnologyApplied mathematicsThermal conductionbusinessTransfer functionIndustrial and Manufacturing EngineeringReliability (statistics)Small setApplied Thermal Engineering
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The two-loop five-particle amplitude in $\mathcal{N}=8$ supergravity

2019

We compute for the first time the two-loop five-particle amplitude in $\mathcal{N}=8$ supergravity. Starting from the known integrand, we perform an integration-by-parts reduction and express the answer in terms of uniform weight master integrals. The latter are known to evaluate to non-planar pentagon functions, described by a 31-letter symbol alphabet. We express the final result for the amplitude in terms of uniform weight four symbols, multiplied by a small set of rational factors. The amplitude satisfies the expected factorization properties when one external graviton becomes soft, and when two external gravitons become collinear. We verify that the soft divergences of the amplitude ex…

High Energy Physics - TheoryPhysicsNuclear and High Energy PhysicsPure mathematics010308 nuclear & particles physicsSupergravityFOS: Physical sciencesFunction (mathematics)01 natural sciencesSmall setScattering amplitudeAmplitudeFactorizationHigh Energy Physics - Theory (hep-th)0103 physical scienceslcsh:QC770-798lcsh:Nuclear and particle physics. Atomic energy. RadioactivityLimit (mathematics)010306 general physicsScattering AmplitudesSupergravity ModelsN=8 Supergravity
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Partial data inverse problems for Maxwell equations via Carleman estimates

2015

In this article we consider an inverse boundary value problem for the time-harmonic Maxwell equations. We show that the electromagnetic material parameters are determined by boundary measurements where part of the boundary data is measured on a possibly very small set. This is an extension of earlier scalar results of Bukhgeim-Uhlmann and Kenig-Sj\"ostrand-Uhlmann to the Maxwell system. The main contribution is to show that the Carleman estimate approach to scalar partial data inverse problems introduced in those works can be carried over to the Maxwell system.

Inverse problemsELECTRODYNAMICSINFORMATIONadmissible manifoldsWEIGHTSMathematics::Analysis of PDEsBoundary (topology)InverseBOUNDARY-VALUE PROBLEMCALDERON PROBLEMpartial data01 natural sciencesMATERIAL PARAMETERSinversio-ongelmatsymbols.namesakeMathematics - Analysis of PDEsFOS: Mathematics35R30 35Q61111 MathematicsMaxwellin yhtälötBoundary value problemUniqueness0101 mathematicsPartial dataMathematical PhysicsMathematicsAdmissible manifoldsApplied Mathematicsta111010102 general mathematicsMathematical analysisScalar (physics)Inverse problemCarleman estimatesSmall set010101 applied mathematicsUNIQUENESSMaxwell's equationsMaxwell equationsLOCAL DATAsymbolsAnalysisAnalysis of PDEs (math.AP)
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Gradient-based shape optimisation of ultra-wideband antennas parameterised using splines

2010

Methodology enabling the gradient-based optimisation of antennas parameterised using B-splines is presented. Use of the spline parametrisation allows us to obtain versatile new shapes, whereas the geometry can be represented with a small set of design variables. Moreover, good control over admissible geometries is retained. Advantages of gradient-based optimisation methods are quick convergence, and the fact that the obtained design can be guaranteed to be a local optimum. Focus of this study is to present techniques that enable the computation of exact gradients of the discrete problem, even though the complexity of the geometries does not permit establishing analytical expressions for the…

Mathematical optimizationSpline (mathematics)Local optimumComputer simulationFrequency bandComputationB-splineElectrical and Electronic EngineeringAlgorithmGradient methodSmall setMathematicsIET Microwaves, Antennas & Propagation
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All congruences below stability-preserving fair testing or CFFD

2020

AbstractIn process algebras, a congruence is an equivalence that remains valid when any subsystem is replaced by an equivalent one. Whether or not an equivalence is a congruence depends on the set of operators used in building systems from subsystems. Numerous congruences have been found, differing from each other in fine details, major ideas, or both, and none of them is good for all situations. The world of congruences seems thus chaotic, which is unpleasant, because the notion of congruence is at the heart of process algebras. This study continues attempts to clarify the big picture by proving that in certain sub-areas, there are no other congruences than those that are already known or …

Pure mathematicsComputer Networks and CommunicationsMathematics::Number TheoryStability (learning theory)Contrast (statistics)020207 software engineering0102 computer and information sciences02 engineering and technologyCongruence relation01 natural sciencesSmall setSet (abstract data type)Congruence (geometry)010201 computation theory & mathematicsrinnakkaiskäsittelyTheory of computation0202 electrical engineering electronic engineering information engineeringEquivalence (measure theory)SoftwaretietojenkäsittelyInformation SystemsMathematics
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Retinal image synthesis through the least action principle

2020

Eye fundus image analysis is a fundamental approach in medical diagnosis and follow-up ophthalmic diagnostics. Manual annotation by experts needs hard work, thus only a small set of annotated vessel structures is available. Examples such as DRIVE and STARE include small sets for training images of fundus image benchmarks. Moreover, there is no vessel structure annotation for a number of fundus image datasets. Synthetic images have been generated by using appropriate parameters for the modeling of vascular networks or by methods developing deep learning techniques and supported by performance hardware. Our methodology aims to produce high-resolution synthetic fundus images alternative to the…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticapredictive evaluation diseasesComputer sciencebusiness.industryDeep learningComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFundus (eye)Real imageSmall setPrinciple of least actionImage (mathematics)fundus image analysisAnnotationComputer visionArtificial intelligenceMedical diagnosisbusinessstatistical featuressynthetic retinal imagedata augmentation2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
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Hunting active Brownian particles: Learning optimal behavior

2021

We numerically study active Brownian particles that can respond to environmental cues through a small set of actions (switching their motility and turning left or right with respect to some direction) which are motivated by recent experiments with colloidal self-propelled Janus particles. We employ reinforcement learning to find optimal mappings between the state of particles and these actions. Specifically, we first consider a predator-prey situation in which prey particles try to avoid a predator. Using as reward the squared distance from the predator, we discuss the merits of three state-action sets and show that turning away from the predator is the most successful strategy. We then rem…

Statistical Mechanics (cond-mat.stat-mech)Single clusterComputer scienceFOS: Physical sciencesCondensed Matter - Soft Condensed MatterSmall setActive matterSoft Condensed Matter (cond-mat.soft)Reinforcement learningStatistical physicsConcentration gradientSensory cueCondensed Matter - Statistical MechanicsBrownian motionPhysical Review E
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