UNIFORM ALGORITHM FOR TRANSIENT SOLUTIONS OF GENERALIZED QUASI-BIRTH-DEATH PROCESSES

1.IntroductionForstochasticmodels,itisdunculttoanalyzetheirtransientbehavior.EvenforthemostsimplequeuingsystemM/M/1,itisnoteasytocomputeitstransielltqueuelengthdistriblltionwhichinvolvesBesselfunctions.ThuS,approximationsandalgorithmshaveplayedamajorroleinanalyzingthetransieDtaspectsofstochasticmodels.MarkovohioandMarkovprocessesareimportaltoolsforanalyzingandStudyingstochasticmodels.ForabatestateMarkovprocesses)algorithmsfortransientsolutionShavebeentreatedextensivelyintheliterature,e.g.,…     

ON THE CONVERGENCE ANALYSIS OF ALGORITHMS FOR GENERALIZED SET-VALUEDVARIATIONAL INCLUSIONS IN BANACH SPACES

In this paper, we are devoted to the convergence analysis of algorithms forgeneralized set-valued variational inclusions in Banach spaces. Our results improve, extend,and develop the earlier and recent corresponding results.     

UPPER AND LOWER SOLUTIONS METHODS FOR EXISTENCE OF PERIODIC SOLUTIONS OF DUFFING EQUATION

1.IntroductionandNotationsInthispapertwestudytheexistenceofsolutionstothefollowingperiodicboundaryvalueproblemforthesecondorderDuffingequationwheresisarealparameter,g:[0,TIxR~RisaCarath6odoryfunctionandkER\{0}.Werecall(forexample,see[1])thatg:[0,TIxR~RiscalledaCarath6odoryfunctionifg(.,x)ismeasurableforallxERandg(t,.)iscontinuousfora.e.tE[0,TI.Theexistenceproblemfor(1.1)--(1.2)byusingtheupperandlowersolutionsmethodhasbeenstudiedbyFabryetal.in[2]foramoregeneralcasewhereacontinuousdampin…     

A CLUSTERING ALGORITHM FOR MIXED NUMERIC AND CATEGORICAL DATA

Most of the earlier work on clustering mainly focused on numeric data whose inherent geometric properties can be exploited to naturally define distance functions between data points. However, data mining applications frequently involve many datasets that also consists of mixed numeric and categorical attributes. In this paper we present a clustering algorithm which is based on the k-means algorithm. The algorithm clusters objects with numeric and categorical attributes in a way similar to k-means. The object similarity measure is derived from both numeric and categorical attributes. When applied to numeric data, the algorithm is identical to the k-means. The main result of this paper is to provide a method to update the “cluster centers“ of clustering objects described by mixed numeric and categorical attributes in the clustering process to minimise the clustering cost function. The clustering performance of the algorithm is demonstrated with the two well known data sets, namely credit approval and abalone databases.     

ESTIMATION METHOD FOR SOLUTIONS TO GENERAL LINEAR SYSTEM OF VOLTERRA INTEGRAL INEQUALITIES INVOLVING ITERATED INTEGRAL FUNCTIONALS

1. IntroductionThe study of Volterra-type integral inequalities had aroused much research illterest on thepart number of authors. In recent years, various VOlterra inequalities involving iterated illtegralfunctionals have also been investigated. We refer to 11--14] for related results for such inequalitiesin one independent variable. However, there is no result reported in the literature which isconcerned with arbitrary finite systems consisting of such integral inequalities. Obviously suchk…     

EXISTENCE AND UNIQUENESS OF POSITIVE EIGENVALUES FOR CERTAIN EIGENVALUE SYSTEMS

1.IntroductionLetnbeaboundeddomaininRwithsmoothboundaryoa,A.denotethep-Laplaciandefinedbya.~div(IVuIP--'Vu),forpE(1,co),andop.(u)=]nip--'if.ItiswellknownthattheeigenvalueproblemhasauniquepositiveeigenvalueAcforwhichtheeigenvalueproblerll(1.1)possessespositiveeigenfunctions.Infact,andtheeigenfunctionsforAcaretheminimizersofthefunctionalMoreover,suchaminimizerofo6Wt3'(n)existsandisuniqlle11ptoascalarmultiple,andofo6Lab(~);wenormalizeitbyjaba(x)lgholpdx~1andofo2:0inD.Thenalsoofo>0inDandcp…     

BOUND ON SOLUTIONS TO THE GENERAL SYSTEM OF VOLTERRA－TYPE LINEAR INTEGRAL INEQUALITIES IN SEVERAL VARIABLES AND ITS APPLICATIONS TO INTEGRO－PARTIAL DIFFERENTIAL EQUATIONS

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