Search results for "problems"

showing 10 items of 620 documents

Existence and multiplicity of solutions for Dirichlet problems involving nonlinearities with arbitrary growth.

2014

In this article we study the existence and multiplicity of solutions for the Dirichlet problem $$\displaylines{ -\Delta_p u=\lambda f(x,u)+ \mu g(x,u)\quad\hbox{in }\Omega,\cr u=0\quad\hbox{on } \partial \Omega }$$ where $\Omega$ is a bounded domain in $\mathbb{R}^N$, $f,g:\Omega \times \mathbb{R}\to \mathbb{R}$ are Caratheodory functions, and $\lambda,\mu$ are nonnegative parameters. We impose no growth condition at $\infty$ on the nonlinearities f,g. A corollary to our main result improves an existence result recently obtained by Bonanno via a critical point theorem for $C^1$ functionals which do not satisfy the usual sequential weak lower semicontinuity property.

Existence and multiplicity of solutionscritical point theoremSettore MAT/05 - Analisi Matematicalcsh:MathematicsDirichlet problemsgrowth conditionMathematics::Analysis of PDEslcsh:QA1-939Dirichlet problem
researchProduct

CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration

2017

International audience; In this paper, we propose a new framework to remove parts of the systematic errors affecting popular restoration algorithms, with a special focus for image processing tasks. Generalizing ideas that emerged for $\ell_1$ regularization, we develop an approach re-fitting the results of standard methods towards the input data. Total variation regularizations and non-local means are special cases of interest. We identify important covariant information that should be preserved by the re-fitting method, and emphasize the importance of preserving the Jacobian (w.r.t. the observed signal) of the original estimator. Then, we provide an approach that has a ``twicing'' flavor a…

FOS: Computer and information sciencesInverse problemsMathematical optimization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer Vision and Pattern Recognition (cs.CV)General MathematicsComputer Science - Computer Vision and Pattern RecognitionMachine Learning (stat.ML)Mathematics - Statistics TheoryImage processingStatistics Theory (math.ST)02 engineering and technologyDebiasing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesRegularization (mathematics)Boosting010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Variational methods[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Statistics - Machine LearningRefittingMSC: 49N45 65K10 68U10[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingFOS: Mathematics0202 electrical engineering electronic engineering information engineeringCovariant transformation[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematicsImage restoration[ STAT.ML ] Statistics [stat]/Machine Learning [stat.ML]MathematicsApplied Mathematics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]EstimatorInverse problem[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Jacobian matrix and determinantsymbolsTwicing020201 artificial intelligence & image processingAffine transformationAlgorithm
researchProduct

Classical automata on promise problems

2015

Promise problems were mainly studied in quantum automata theory. Here we focus on state complexity of classical automata for promise problems. First, it was known that there is a family of unary promise problems solvable by quantum automata by using a single qubit, but the number of states required by corresponding one-way deterministic automata cannot be bounded by a constant. For this family, we show that even two-way nondeterminism does not help to save a single state. By comparing this with the corresponding state complexity of alternating machines, we then get a tight exponential gap between two-way nondeterministic and one-way alternating automata solving unary promise problems. Secon…

FOS: Computer and information sciencesNested wordTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESUnary operationGeneral Computer ScienceFormal Languages and Automata Theory (cs.FL)nondeterministic automataComputer Science - Formal Languages and Automata Theoryω-automatonComputational Complexity (cs.CC)Theoretical Computer ScienceContinuous spatial automatonQuantum finite automataDiscrete Mathematics and Combinatoricsalternating automatapromise problemsMathematicsprobabilistic automataNonlinear Sciences::Cellular Automata and Lattice GasesMobile automatonNondeterministic algorithmAlgebra[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]Computer Science - Computational ComplexityTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESAutomata theorydescriptional complexityComputer Science::Formal Languages and Automata Theory
researchProduct

Mahonian STAT on words

2016

In 2000, Babson and Steingrimsson introduced the notion of what is now known as a permutation vincular pattern, and based on it they re-defined known Mahonian statistics and introduced new ones, proving or conjecturing their Mahonity. These conjectures were proved by Foata and Zeilberger in 2001, and by Foata and Randrianarivony in 2006.In 2010, Burstein refined some of these results by giving a bijection between permutations with a fixed value for the major index and those with the same value for STAT , where STAT is one of the statistics defined and proved to be Mahonian in the 2000 Babson and Steingrimsson's paper. Several other statistics are preserved as well by Burstein's bijection.At…

FOS: Computer and information sciencesQA75[ INFO ] Computer Science [cs]Discrete Mathematics (cs.DM)Major index0102 computer and information sciencesMathematical Analysis01 natural sciencesWords and PermutationsCombinatorial problemsEquidistributionTheoretical Computer ScienceCombinatoricssymbols.namesakePermutationBijectionsFOS: MathematicsMathematics - CombinatoricsMathematical proofs[INFO]Computer Science [cs]0101 mathematicsStatisticMathematicsStatisticZ665Algebraic combinatoricsMathematics::CombinatoricsFormal power seriesPatternPermutationsEulerian path16. Peace & justiceComputer Science Applications010101 applied mathematics010201 computation theory & mathematicsCombinatoricsSignal ProcessingsymbolsBijectionCombinatorics (math.CO)Information SystemsComputer Science - Discrete Mathematics
researchProduct

Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration?

2019

Globalization and information technology enable people to join the movement of global citizenship and work without borders. However, different type of barriers existed that could affect collaboration in todays work environment, in which different generations are involved. Although researchers have identified several technical barriers to intergenerational collaboration (iGOAL), the influence of cultural diversity on iGOAL has rarely been studied. Therefore, using a quantitative study approach, this paper investigates the impact of differences in cultural background on perceived technical and operational barriers to iGOAL. Our study reveals six barriers to IGC that are perceived differently …

FOS: Computer and information scienceshaasteet (ongelmat)problemsComputer sciencebarriersComputer Science - Human-Computer Interactionchallengessukupolvet02 engineering and technologyAffect (psychology)Human-Computer Interaction (cs.HC)Cultural backgroundGlobalizationComputer Science - Computers and SocietyCultural diversityComputers and Society (cs.CY)0202 electrical engineering electronic engineering information engineeringH.1.2cross-cultural teamworkGeneral Environmental Sciencekulttuurienvälisyysbusiness.industryInformation technology020206 networking & telecommunicationsPublic relationstiimityöWork (electrical)cross-generational collaborationGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingGlobal citizenshipbusiness
researchProduct

Coherent Quantum Tomography

2016

We discuss a quantum mechanical indirect measurement method to recover a position dependent Hamilton matrix from time evolution of coherent quantum mechanical states through an object. A mathematical formulation of this inverse problem leads to weighted X-ray transforms where the weight is a matrix. We show that such X-ray transforms are injective with very rough weights. Consequently, we can solve our quantum mechanical inverse problem in several settings, but many physically relevant problems we pose also remain open. We discuss the physical background of the proposed imaging method in detail. We give a rigorous mathematical treatment of a neutrino tomography method that has been previous…

FOS: Physical sciences01 natural sciencesMatrix (mathematics)neutrino physics0103 physical sciencesClassical Analysis and ODEs (math.CA)FOS: MathematicsStatistical physics0101 mathematics010306 general physicsQuantumMathematical PhysicsMathematicsQuantum Physicsinverse problemsgeophysicsApplied Mathematicsta111quantum mechanics010102 general mathematicsMathematical analysisTime evolutionweighted ray transformsMathematical Physics (math-ph)81Q99 81V99 86A22 44A12Inverse problemQuantum tomographyInjective functionComputational MathematicsMathematics - Classical Analysis and ODEsTomographyNeutrinoQuantum Physics (quant-ph)AnalysisSIAM Journal on Mathematical Analysis
researchProduct

Family and teacher’s perception about the effects of Aprender a Convivir en Casa pilot program

2019

Several studies in the last decades provide scientific evidence about the benefits of family intervention at an early age. Carried out the implementation of the Aprender a Convivir en Casa [Learning to Live Together at Home] program (ACC), aimed for Spanish families with preschoolers to prevent behavioural problems, juvenile delinquency and harassment, as well as promote an optimal family functioning and parenting wellbeing; the aim of this study is to compare the effects on pre-schooler’s adaptive skills and behavioural problems through the BASC-P1 and BASC-T1, parents and teachers respectively. Parents of 18 three to five-year-old children participated in the study, 9 parents were assigne…

FamilieseducationConduct problemsSocial competencePrevention program
researchProduct

Gambling disorder in adolescents: what do we know about this social problem and its consequences?

2018

Abstract Gambling disorder (GD) is a psychiatric condition and it is characterized by a maladaptive pattern of gambling behavior that persists despite negative consequences in major areas of life functioning. In Italy, CNR (National Research Council) underlined how over 17 million, 42.8% of the population aged 15–64 have a gambling behavior. Among them, there are over one million students, aged 15–19, equal to 44.2% of Italian students; the number of minors in Italy with GD in 2017 was 580,000, equal to 33.6%. Various psychosocial treatment models have been adapted for GD; on the other hand no drug has received regulatory approval in any jurisdiction as a specific psychopharmacological trea…

Family therapymedicine.medical_specialtyAdolescentSocial ProblemsPopulationPsychological interventionGambling disorderAdolescentsSocial issuesYoung Adult03 medical and health sciencesRisk-Taking0302 clinical medicineIntervention (counseling)medicineHumans030212 general & internal medicineeducationPsychiatrygambling disordersConsequenceseducation.field_of_studyGovernmentbusiness.industryPublic healthlcsh:RJ1-570adolescenteslcsh:PediatricsSettore MED/38 - PEDIATRIA GENERALE E SPECIALISTICAItalyAdolescent BehaviorGamblingCommentaryConsequencebusinessPsychosocial030217 neurology & neurosurgeryItalian Journal of Pediatrics
researchProduct

Avoiding strange attractors in efficient parametric families of iterative methods for solving nonlinear problems

2019

[EN] Searching zeros of nonlinear functions often employs iterative procedures. In this paper, we construct several families of iterative methods with memory from one without memory, that is, we have increased the order of convergence without adding new functional evaluations. The main aim of this manuscript yields in the advantage that the use of real multidimensional dynamics gives us to decide among the different classes designed and, afterwards, to select its most stable members. Moreover, we have found some elements of the family whose behavior includes strange attractors of different kinds that must be avoided in practice. In this sense, Feigenbaum diagrams have resulted an extremely …

Feigenbaum diagramsNumerical AnalysisMathematical optimizationRelation (database)Iterative methodApplied MathematicsNonlinear problems010103 numerical & computational mathematicsConstruct (python library)01 natural sciencesComputational efficiency010101 applied mathematicsComputational MathematicsNonlinear systemRate of convergenceAttractorIterative methods with and without memoryNumerical tests0101 mathematicsMATEMATICA APLICADAQualitative analysisMathematicsParametric statisticsApplied Numerical Mathematics
researchProduct

A Feature Rich Distance-Based Many-Objective Visualisable Test Problem Generator

2019

In optimiser analysis and design it is informative to visualise how a search point/population moves through the design space over time. Visualisable distance-based many-objective optimisation problems have been developed whose design space is in two-dimensions with arbitrarily many objective dimensions. Previous work has shown how disconnected Pareto sets may be formed, how problems can be projected to and from arbitrarily many design dimensions, and how dominance resistant regions of design space may be defined. Most recently, a test suite has been proposed using distances to lines rather than points. However, active use of visualisable problems has been limited. This may be because the ty…

Flexibility (engineering)Mathematical optimizationeducation.field_of_studyComputer sciencevisualisointiMulti-objective test problemsPopulationPareto principleevoluutiolaskenta0102 computer and information sciences02 engineering and technology01 natural sciencesmonitavoiteoptimointiSet (abstract data type)test suiteRange (mathematics)010201 computation theory & mathematicsevolutionary optimisation0202 electrical engineering electronic engineering information engineeringTest suite020201 artificial intelligence & image processingPoint (geometry)benchmarkingeducationGenerator (mathematics)
researchProduct