Search results for " Computer"

showing 10 items of 6910 documents

On the reducibility of geometric constraint graphs

2018

Geometric modeling by constraints, whose applications are of interest to communities from various fields such as mechanical engineering, computer aided design, symbolic computation or molecular chemistry, is now integrated into standard modeling tools. In this discipline, a geometric form is specified by the relations that the components of this form must verify instead of explicitly specifying these components. The purpose of the resolution is to deduce the form satisfying all these constraints. Various methods have been proposed to solve this problem. We will focus on the so-called graph-based or graph-based methods with application to the two-dimensional space.

Computational Geometry (cs.CG)FOS: Computer and information sciences[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]Computer Science - Computational Geometry[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
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Optimal rates of convergence for persistence diagrams in Topological Data Analysis

2013

Computational topology has recently known an important development toward data analysis, giving birth to the field of topological data analysis. Topological persistence, or persistent homology, appears as a fundamental tool in this field. In this paper, we study topological persistence in general metric spaces, with a statistical approach. We show that the use of persistent homology can be naturally considered in general statistical frameworks and persistence diagrams can be used as statistics with interesting convergence properties. Some numerical experiments are performed in various contexts to illustrate our results.

Computational Geometry (cs.CG)FOS: Computer and information sciences[ MATH.MATH-GT ] Mathematics [math]/Geometric Topology [math.GT][STAT.TH] Statistics [stat]/Statistics Theory [stat.TH]Topological Data analysis Persistent homology minimax convergence rates geometric complexes metric spacesGeometric Topology (math.GT)Mathematics - Statistics TheoryStatistics Theory (math.ST)[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][STAT.TH]Statistics [stat]/Statistics Theory [stat.TH][INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH][ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]Machine Learning (cs.LG)Computer Science - LearningMathematics - Geometric Topology[INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][MATH.MATH-GT]Mathematics [math]/Geometric Topology [math.GT]FOS: Mathematics[ INFO.INFO-CG ] Computer Science [cs]/Computational Geometry [cs.CG]Computer Science - Computational Geometry[MATH.MATH-GT] Mathematics [math]/Geometric Topology [math.GT]
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Computation of the topological type of a real Riemann surface

2012

We present an algorithm for the computation of the topological type of a real compact Riemann surface associated to an algebraic curve, i.e., its genus and the properties of the set of fixed points of the anti-holomorphic involution $\tau$, namely, the number of its connected components, and whether this set divides the surface into one or two connected components. This is achieved by transforming an arbitrary canonical homology basis to a homology basis where the $\mathcal{A}$-cycles are invariant under the anti-holomorphic involution $\tau$.

Computational Geometry (cs.CG)FOS: Computer and information sciencesreal Riemann surface[MATH.MATH-AG] Mathematics [math]/Algebraic Geometry [math.AG]homology basis[ MATH.MATH-AG ] Mathematics [math]/Algebraic Geometry [math.AG]Mathematics - Algebraic Geometryreal algebraic curveholomorphic differentialsFOS: MathematicsComputer Science - Computational Geometryreal ovals[MATH.MATH-AG]Mathematics [math]/Algebraic Geometry [math.AG]Algebraic Geometry (math.AG)
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Ein Verfahren zur Behandlung von Ausgleichsaufgaben mit Intervallkoeffizienten

1976

Es wird ein Verfahren beschrieben, das die Berechnung einer Intervalleinschliesung der Losungsmenge einer linearen Ausgleichsaufgabe mit Intervallkoeffizienten erlaubt. Es stellt eine Ubertragung des Bjorckschen Algorithmus der iterativen Verbesserung einer Naherungslosung zu einer linearen Ausgleichsaufgabe [5] auf ein bekanntes Verfahren zur Behandlung von Intervallgleichungssystemen dar.

Computational MathematicsNumerical AnalysisComputational Theory and MathematicsComputer scienceComputer communication networksHumanitiesSoftwareComputer Science ApplicationsTheoretical Computer ScienceComputing
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Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine

2022

Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relative importance of input units. Recent research has revealed, however, that such processes tend to misidentify irrelevant input units when explaining them. This is due to the fact that language representation layers are initialized by pre-trained word embedding that is not context-dependent. Such a lack of context-dependent knowledge in the initial layer makes it difficult for the model to concentrate on the important aspects of input. Usually, th…

Computational MathematicsNumerical AnalysisComputational Theory and MathematicsNLP; interpretability; explainability; Tsetlin Machine; Bi-GRUs; attentionVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Theoretical Computer Science
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A-stabile Kollokationsverfahren mit mehrfachen Knoten

1982

Die Kollokationsmethoden, die vom Autor in [3] untersucht werden, liefern Spline-Approximationen fur die Losungen von Anfangswertproblemen bei gewohnlichen Differentialgleichungen. Einige allgemeine Resultate uber A-Stabilitat von Wanner, Hairer und Norsett [6] werden fur diese Methoden in dem Fall formuliert, wo sie mit gewissen impliziten Runge-Kutta-Methoden aquivalent sind. Hierbei wird die Abhangigkeit der A-Stabilitat von den Knoten und ihren Vielfachheiten offensichtlich.

Computational MathematicsNumerical AnalysisComputational Theory and MathematicsPhilosophyComputer communication networksHumanitiesSoftwareComputer Science ApplicationsTheoretical Computer ScienceComputing
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Numerische Lösung gewöhnlicher Differentialgleichungen mit Splinefunktionen

1980

In dieser Arbeit wird ein allgemeines Verfahren zur Erzeugung von Splineapproximationen fur die Losungen von Anfangswertproblemen bei gewohnlichen Differentialgleichungen vorgestellt. Einige der bekannten Spline-approximationsmethoden sind als Spezialfalle enthalten. Eine gangige Vorgehensweise besteht darin, das Intervall, uber dem das Anfangswertproblem gegeben ist, in aquidistante Teilintervalle zu zerlegen und dann sukzessive die Splineapproximation zu definieren. Hierbei wird gefordert, das die Spline-approximation in den Knoten gewisse Bedingungen erfullt. Bei dem hier betrachteten allgemeinen Verfahren werden in den einzelnen Teilintervallen noch zusatzliche Zwischenknoten eingefuhrt…

Computational MathematicsNumerical AnalysisComputational Theory and MathematicsPhilosophyHumanitiesComputer communication networksSoftwareComputer Science ApplicationsTheoretical Computer ScienceComputing
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Einige Bemerkungen zur Dualität in der konvexen Optimierung

1975

Die allgemeine Rockafellarsche Dualitatstheorie wird auf eine Reihe konvexer Optimierungsprobleme angewandt, um Dualitats-, Existenz-und Charakterisierungssatze fur Optimallosungen zu erhalten. Unter anderem werden auf diesem Wege einige schon bekannte Ergebnisse in sehr einfacher Weise wiedergewonnen.

Computational MathematicsNumerical AnalysisComputational Theory and MathematicsPhilosophyHumanitiesComputer communication networksSoftwareComputer Science ApplicationsTheoretical Computer ScienceComputing
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On the path representation of networks

1982

A compact data structure for networks is obtained by storing arcs of paths sequentially. This structure allows forward and backward access from a node to its neighbors.

Computational MathematicsTheoretical computer scienceComputer Networks and CommunicationsComputer scienceApplied MathematicsNode (networking)Path (graph theory)Structure (category theory)TopologyData structureRepresentation (mathematics)SoftwareBIT
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An Analysis of the Influence of Noneffective Instructions in Linear Genetic Programming

2020

Abstract Linear Genetic Programming (LGP) represents programs as sequences of instructions and has a Directed Acyclic Graph (DAG) dataflow. The results of instructions are stored in registers that can be used as arguments by other instructions. Instructions that are disconnected from the main part of the program are called noneffective instructions, or structural introns. They also appear in other DAG-based GP approaches like Cartesian Genetic Programming (CGP). This article studies four hypotheses on the role of structural introns: noneffective instructions (1) serve as evolutionary memory, where evolved information is stored and later used in search, (2) preserve population diversity, (3)…

Computational MathematicsTheoretical computer scienceDataflowComputer scienceLinear genetic programmingPopulation diversitySymbolic regressionCartesian genetic programmingDirected acyclic graphBiological EvolutionAlgorithmsNeutral mutationEvolutionary Computation
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