Search results for "Crete"

showing 10 items of 2495 documents

Inversion of matrix pencils for generalized systems

1993

Abstract This paper clarifies the nature of the Leverrier-Faddeev algorithm for generalized and state-space systems. It presents useful diagrams for recursive computation of the coefficients of the characteristic polynomial and the coefficient matrices of the adjoint matrix for various matrix pencils. A simplified case covers recursive equations and diagrams for inversion of the second-order matrix pencil (Es2 + A1s + A0) where E may be singular. The appendix provides two examples of mechanical and heat exchange systems which can be described by the generalized models.

State-transition matrixComputer Networks and CommunicationsApplied MathematicsMathematicsofComputing_NUMERICALANALYSISSingle-entry matrixInversion (discrete mathematics)Matrix (mathematics)Adjugate matrixControl and Systems EngineeringComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONSignal ProcessingCalculusMatrix pencilState spaceApplied mathematicsMathematicsCharacteristic polynomialJournal of the Franklin Institute
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Unary Probabilistic and Quantum Automata on Promise Problems

2015

We continue the systematic investigation of probabilistic and quantum finite automata (PFAs and QFAs) on promise problems by focusing on unary languages. We show that bounded-error QFAs are more powerful than PFAs. But, in contrary to the binary problems, the computational powers of Las-Vegas QFAs and bounded-error PFAs are equivalent to deterministic finite automata (DFAs). Lastly, we present a new family of unary promise problems with two parameters such that when fixing one parameter QFAs can be exponentially more succinct than PFAs and when fixing the other parameter PFAs can be exponentially more succinct than DFAs.

State-transition matrixDiscrete mathematicsDeterministic finite automatonUnary operationMarkov chainUnary languageProbabilistic logicQuantum finite automataBinary numberComputer Science::Computational ComplexityComputer Science::Formal Languages and Automata TheoryMathematics
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On the space of all regular operators from C(K) into C(K)

1988

AbstractIt is known that Lr(E, C(K)), the space of all regular operators from E into C(K), is a Riesz space for all Riesz spaces E if and only if K is Stonian. We prove that this statement holds if E is replaced by C(K), where K is a compact space, the cardinal number of which satisfies a certain condition.

Statement (computer science)Discrete mathematicsMathematics::Functional AnalysisCompact spaceIf and only ifCardinal numberMathematics::Classical Analysis and ODEsRiesz spaceSpace (mathematics)MathematicsIndagationes Mathematicae (Proceedings)
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EMERGENCE OF TRAVELLING WAVES IN SMOOTH NERVE FIBRES

2008

International audience; An approximate analytical solution characterizing initial condi- tions leading to action potential ¯ring in smooth nerve ¯bres is determined, using the bistable equation. In the ¯rst place, we present a non-trivial sta- tionary solution wave. Then, we extract the main features of this solution to obtain a frontier condition between the initiation of the travelling waves and a decay to the resting state. This frontier corresponds to a separatrix in the projected dynamics diagram depending on the width and the amplitude of the stationary wave.

StationarityBistability[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]01 natural sciencesNerve fibresStanding waveOptics[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]0103 physical sciencesTraveling wave[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Discrete Mathematics and Combinatorics[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP]0101 mathematics010306 general physicsProjected dynamicsPhysicsSeparatrixbusiness.industry[SCCO.NEUR]Cognitive science/NeuroscienceApplied Mathematics[SCCO.NEUR] Cognitive science/NeuroscienceDiagramDynamics (mechanics)Mechanics010101 applied mathematics[NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD]Amplitude[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SCCO.NEUR ] Cognitive science/NeuroscienceAction potential firingbusinessAnalysis
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Temporal aggregation in chain graph models

2005

The dependence structure of an observed process induced by temporal aggregation of a time evolving hidden spatial phenomenon is addressed. Data are described by means of chain graph models and an algorithm to compute the chain graph resulting from the temporal aggregation of a directed acyclic graph is provided. This chain graph is the best graph which covers the independencies of the resulting process within the chain graph class. A sufficient condition that produces a memory loss of the observed process with respect to its hidden origin is analyzed. Some examples are used for illustrating algorithms and results.

Statistics and ProbabilityApplied MathematicsVoltage graphDirected graphStrength of a graphTopologyGraph (abstract data type)Statistics Probability and UncertaintyNull graphGraph propertyAlgorithmComplement graphMathematicsofComputing_DISCRETEMATHEMATICSMoral graphMathematicsJournal of Statistical Planning and Inference
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Random Logistic Maps II. The Critical Case

2003

Let (X n )∞ 0 be a Markov chain with state space S=[0,1] generated by the iteration of i.i.d. random logistic maps, i.e., X n+1=C n+1 X n (1−X n ),n≥0, where (C n )∞ 1 are i.i.d. random variables with values in [0, 4] and independent of X 0. In the critical case, i.e., when E(log C 1)=0, Athreya and Dai(2) have shown that X n → P 0. In this paper it is shown that if P(C 1=1)<1 and E(log C 1)=0 then (i) X n does not go to zero with probability one (w.p.1) and in fact, there exists a 0<β<1 and a countable set ▵⊂(0,1) such that for all x∈A≔(0,1)∖▵, P x (X n ≥β for infinitely many n≥1)=1, where P x stands for the probability distribution of (X n )∞ 0 with X 0=x w.p.1. A is a closed set for (X n…

Statistics and ProbabilityCombinatoricsDiscrete mathematicsDistribution (mathematics)Multivariate random variableInitial distributionGeneral MathematicsZero (complex analysis)Random elementProbability distributionStatistics Probability and UncertaintyRandom variableMathematicsJournal of Theoretical Probability
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A GALTON-WATSON BRANCHING PROCESS IN VARYING ENVIRONMENTS WITH ESSENTIALLY CONSTANT OFFSPRING MEANS AND TWO RATES OF GROWTH1

1983

Summary A Galton-Watson process in varying environments (Zn), with essentially constant offspring means, i.e. E(Zn)/mnα∈(0, ∞), and exactly two rates of growth is constructed. The underlying sample space Ω can be decomposed into parts A and B such that (Zn)n grows like 2non A and like mnon B (m > 4).

Statistics and ProbabilityCombinatoricsGalton watsonDiscrete mathematicsOffspringSample spaceConstant (mathematics)MathematicsBranching processAustralian Journal of Statistics
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On Association Models Defined over Independence Graphs

1998

Conditions on joint distributions are given under which two variables will be conditionally associated whenever an independence graph does not imply a corresponding conditional independence statement. To this end the notions of parametric cancellation, of stable paths and of quasi-linear models are discussed in some detail.

Statistics and ProbabilityCombinatoricsStatement (computer science)Discrete mathematicsConditional independenceJoint probability distributionIndependence (mathematical logic)Matrix decompositionParametric statisticsCholesky decompositionMathematicsCorresponding conditionalBernoulli
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Binary distributions of concentric rings

2014

We introduce families of jointly symmetric, binary distributions that are generated over directed star graphs whose nodes represent variables and whose edges indicate positive dependences. The families are parametrized in terms of a single parameter. It is an outstanding feature of these distributions that joint probabilities relate to evenly spaced concentric rings. Kronecker product characterizations make them computationally attractive for a large number of variables. We study the behavior of different measures of dependence and derive maximum likelihood estimates when all nodes are observed and when the inner node is hidden.

Statistics and ProbabilityContingency tableKronecker productDiscrete mathematicsNumerical AnalysisBinary numberStar (graph theory)Combinatoricssymbols.namesakeConditional independenceJoint probability distributionsymbolsFeature (machine learning)Node (circuits)Statistics Probability and UncertaintyMathematicsJournal of Multivariate Analysis
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A multi-local optimization algorithm

1998

The development of efficient algorithms that provide all the local minima of a function is crucial to solve certain subproblems in many optimization methods. A “multi-local” optimization procedure using inexact line searches is presented, and numerical experiments are also reported. An application of the method to a semi-infinite programming procedure is included.

Statistics and ProbabilityContinuous optimizationMathematical optimizationInformation Systems and ManagementMeta-optimizationManagement Science and Operations ResearchSemi-infinite programmingMaxima and minimaVector optimizationModeling and SimulationDiscrete Mathematics and CombinatoricsRandom optimizationMulti-swarm optimizationAlgorithmMetaheuristicMathematicsTop
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