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Autor Armin Iske |
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Título : Algorithms for Approximation : Proceedings of the 5th International Conference, Chester, July 2005 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Armin Iske ; Jeremy Levesley Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Número de páginas: XIII, 389 p Il.: online resource ISBN/ISSN/DL: 978-3-540-46551-5 Idioma : Inglés (eng) Palabras clave: Mathematics Computer science Approximation theory Special functions Applied mathematics Engineering Applications of Computational and Numerical Analysis Approximations Expansions Functions Computing Appl.Mathematics/Computational Methods Clasificación: 51 Matemáticas Resumen: Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, it gives important computational aspects and multidisciplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for the solution of their specific problems. An important feature of the book is that it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide range of inherent scales. Contributions of industrial mathematicians, including representatives from Microsoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications Nota de contenido: Imaging and Data Mining -- Ranking as Function Approximation -- Two Algorithms for Approximation in Highly Complicated Planar Domains -- Computational Intelligence in Clustering Algorithms, With Applications -- Energy-Based Image Simplification with Nonlocal Data and Smoothness Terms -- Multiscale Voice Morphing Using Radial Basis Function Analysis -- Associating Families of Curves Using Feature Extraction and Cluster Analysis -- Numerical Simulation -- Particle Flow Simulation by Using Polyharmonic Splines -- Enhancing SPH using Moving Least-Squares and Radial Basis Functions -- Stepwise Calculation of the Basin of Attractionin Dynamical Systems Using Radial Basis Functions -- Integro-Differential Equation Models and Numerical Methods for Cell Motility and Alignment -- Spectral Galerkin Method Applied to Some Problems in Elasticity -- Statistical Approximation Methods -- Bayesian Field Theory Applied to Scattered Data Interpolation and Inverse Problems -- Algorithms for Structured Gauss-Markov Regression -- Uncertainty Evaluation in Reservoir Forecasting by Bayes Linear Methodology -- Data Fitting and Modelling -- Integral Interpolation -- Shape Control in Powell-Sabin Quasi-Interpolation -- Approximation with Asymptotic Polynomials -- Spline Approximation Using Knot Density Functions -- Neutral Data Fitting by Lines and Planes -- Approximation on an Infinite Range to Ordinary Differential Equations Solutions by a Function of a Radial Basis function -- Weighted Integrals of Polynomial Splines -- Differential and Integral Equations -- On Sequential Estimators for Affine Stochastic Delay Differential Equations -- Scalar Periodic Complex Delay Differential Equations: Small Solutions and their Detection -- Using Approximations to Lyapunov Exponents to Predict Changes in Dynamical Behaviour in Numerical Solutions to Stochastic Delay Differential Equations -- Superconvergence of Quadratic Spline Collocation for Volterra Integral Equations -- Special Functions and Approximation on Manifolds -- Asymptotic Approximations to Truncation Errors of Series Representations for Special Functions -- Strictly Positive Definite Functions on Generalized Motion Groups -- Energy Estimates and the Weyl Criterion on Compact Homogeneous Manifolds -- Minimal Discrete Energy Problems and Numerical Integration on Compact Sets in Euclidean Spaces -- Numerical Quadrature of Highly Oscillatory Integrals Using Derivatives En línea: http://dx.doi.org/10.1007/978-3-540-46551-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34639 Algorithms for Approximation : Proceedings of the 5th International Conference, Chester, July 2005 [documento electrónico] / SpringerLink (Online service) ; Armin Iske ; Jeremy Levesley . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XIII, 389 p : online resource.
ISBN : 978-3-540-46551-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer science Approximation theory Special functions Applied mathematics Engineering Applications of Computational and Numerical Analysis Approximations Expansions Functions Computing Appl.Mathematics/Computational Methods Clasificación: 51 Matemáticas Resumen: Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including pattern recognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, it gives important computational aspects and multidisciplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for the solution of their specific problems. An important feature of the book is that it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide range of inherent scales. Contributions of industrial mathematicians, including representatives from Microsoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications Nota de contenido: Imaging and Data Mining -- Ranking as Function Approximation -- Two Algorithms for Approximation in Highly Complicated Planar Domains -- Computational Intelligence in Clustering Algorithms, With Applications -- Energy-Based Image Simplification with Nonlocal Data and Smoothness Terms -- Multiscale Voice Morphing Using Radial Basis Function Analysis -- Associating Families of Curves Using Feature Extraction and Cluster Analysis -- Numerical Simulation -- Particle Flow Simulation by Using Polyharmonic Splines -- Enhancing SPH using Moving Least-Squares and Radial Basis Functions -- Stepwise Calculation of the Basin of Attractionin Dynamical Systems Using Radial Basis Functions -- Integro-Differential Equation Models and Numerical Methods for Cell Motility and Alignment -- Spectral Galerkin Method Applied to Some Problems in Elasticity -- Statistical Approximation Methods -- Bayesian Field Theory Applied to Scattered Data Interpolation and Inverse Problems -- Algorithms for Structured Gauss-Markov Regression -- Uncertainty Evaluation in Reservoir Forecasting by Bayes Linear Methodology -- Data Fitting and Modelling -- Integral Interpolation -- Shape Control in Powell-Sabin Quasi-Interpolation -- Approximation with Asymptotic Polynomials -- Spline Approximation Using Knot Density Functions -- Neutral Data Fitting by Lines and Planes -- Approximation on an Infinite Range to Ordinary Differential Equations Solutions by a Function of a Radial Basis function -- Weighted Integrals of Polynomial Splines -- Differential and Integral Equations -- On Sequential Estimators for Affine Stochastic Delay Differential Equations -- Scalar Periodic Complex Delay Differential Equations: Small Solutions and their Detection -- Using Approximations to Lyapunov Exponents to Predict Changes in Dynamical Behaviour in Numerical Solutions to Stochastic Delay Differential Equations -- Superconvergence of Quadratic Spline Collocation for Volterra Integral Equations -- Special Functions and Approximation on Manifolds -- Asymptotic Approximations to Truncation Errors of Series Representations for Special Functions -- Strictly Positive Definite Functions on Generalized Motion Groups -- Energy Estimates and the Weyl Criterion on Compact Homogeneous Manifolds -- Minimal Discrete Energy Problems and Numerical Integration on Compact Sets in Euclidean Spaces -- Numerical Quadrature of Highly Oscillatory Integrals Using Derivatives En línea: http://dx.doi.org/10.1007/978-3-540-46551-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34639 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Approximation Algorithms for Complex Systems / SpringerLink (Online service) ; Emmanuil H. Georgoulis ; Armin Iske ; Jeremy Levesley (2011)
Título : Approximation Algorithms for Complex Systems : Proceedings of the 6th International Conference on Algorithms for Approximation, Ambleside, UK, 31st August - 4th September 2009 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Emmanuil H. Georgoulis ; Armin Iske ; Jeremy Levesley Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: Springer Proceedings in Mathematics, ISSN 2190-5614 num. 3 Número de páginas: X, 310 p Il.: online resource ISBN/ISSN/DL: 978-3-642-16876-5 Idioma : Inglés (eng) Palabras clave: Mathematics Approximation theory Applied mathematics Engineering Computer Algorithms Numerical analysis Approximations and Expansions Computational Analysis Science Applications of Clasificación: 51 Matemáticas Resumen: This book collects up-to-date papers from world experts in a broad variety of relevant applications of approximation theory, including dynamical systems, multiscale modelling of fluid flow, metrology, and geometric modelling to mention a few. The 14 papers in this volume document modern trends in approximation through recent theoretical developments, important computational aspects and multidisciplinary applications. The book is arranged in seven invited surveys, followed by seven contributed research papers. The surveys of the first seven chapters are addressing the following relevant topics: emergent behaviour in large electrical networks, algorithms for multivariate piecewise constant approximation, anisotropic triangulation methods in adaptive image approximation, form assessment in coordinate metrology, discontinuous Galerkin methods for linear problems, a numerical analyst's view of the lattice Boltzmann method, approximation of probability measures on manifolds. Moreover, the diverse contributed papers of the remaining seven chapters reflect recent developments in approximation theory, approximation practice and their applications. Graduate students who wish to discover the state of the art in a number of important directions of approximation algorithms will find this a valuable volume. Established researchers from statisticians through to fluid modellers will find interesting new approaches to solving familiar but challenging problems. This book grew out of the sixth in the conference series on "Algorithms for Approximation", which took place from 31st August to September 4th 2009 in Ambleside in the Lake District of the United Kingdom Nota de contenido: Part I INVITED SURVEYS: Emergent Behaviour in Large Electrical Networks -- Algorithms and Error Bounds for Multivariate Piecewise Constant Approximation -- Anisotropic Triangulation Methods in Adaptive Image Approximation -- Form Assessment in Coordinate Metrology -- Discontinuous Galerkin Methods for Linear Problems: An Introduction -- A Numerical Analyst’s View of the Lattice Boltzmann Method -- Approximating Probability Measures on Manifolds via Radial Basis Functions -- Part II CONTRIBUTED RESEARCH PAPERS: Modelling Clinical Decay Data Using Exponential Functions -- Towards Calculating the Basin of Attraction of Non-Smooth Dynamical Systems Using Radial Basis Functions -- Stabilizing Lattice Boltzmann Simulation of Fluid Flow past a Circular Cylinder with Ehrenfests’ Limiter -- Fast and Stable Interpolation of Well Data Using the Norm Function -- Algorithms and Literate Programs for Weighted Low-Rank Approximation with Missing Data -- On Bivariate Interpolatory Mask Symbols, Subdivision and Re?nable Functions -- Model and Feature Selection in Metrology Data Approximation En línea: http://dx.doi.org/10.1007/978-3-642-16876-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33399 Approximation Algorithms for Complex Systems : Proceedings of the 6th International Conference on Algorithms for Approximation, Ambleside, UK, 31st August - 4th September 2009 [documento electrónico] / SpringerLink (Online service) ; Emmanuil H. Georgoulis ; Armin Iske ; Jeremy Levesley . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - X, 310 p : online resource. - (Springer Proceedings in Mathematics, ISSN 2190-5614; 3) .
ISBN : 978-3-642-16876-5
Idioma : Inglés (eng)
Palabras clave: Mathematics Approximation theory Applied mathematics Engineering Computer Algorithms Numerical analysis Approximations and Expansions Computational Analysis Science Applications of Clasificación: 51 Matemáticas Resumen: This book collects up-to-date papers from world experts in a broad variety of relevant applications of approximation theory, including dynamical systems, multiscale modelling of fluid flow, metrology, and geometric modelling to mention a few. The 14 papers in this volume document modern trends in approximation through recent theoretical developments, important computational aspects and multidisciplinary applications. The book is arranged in seven invited surveys, followed by seven contributed research papers. The surveys of the first seven chapters are addressing the following relevant topics: emergent behaviour in large electrical networks, algorithms for multivariate piecewise constant approximation, anisotropic triangulation methods in adaptive image approximation, form assessment in coordinate metrology, discontinuous Galerkin methods for linear problems, a numerical analyst's view of the lattice Boltzmann method, approximation of probability measures on manifolds. Moreover, the diverse contributed papers of the remaining seven chapters reflect recent developments in approximation theory, approximation practice and their applications. Graduate students who wish to discover the state of the art in a number of important directions of approximation algorithms will find this a valuable volume. Established researchers from statisticians through to fluid modellers will find interesting new approaches to solving familiar but challenging problems. This book grew out of the sixth in the conference series on "Algorithms for Approximation", which took place from 31st August to September 4th 2009 in Ambleside in the Lake District of the United Kingdom Nota de contenido: Part I INVITED SURVEYS: Emergent Behaviour in Large Electrical Networks -- Algorithms and Error Bounds for Multivariate Piecewise Constant Approximation -- Anisotropic Triangulation Methods in Adaptive Image Approximation -- Form Assessment in Coordinate Metrology -- Discontinuous Galerkin Methods for Linear Problems: An Introduction -- A Numerical Analyst’s View of the Lattice Boltzmann Method -- Approximating Probability Measures on Manifolds via Radial Basis Functions -- Part II CONTRIBUTED RESEARCH PAPERS: Modelling Clinical Decay Data Using Exponential Functions -- Towards Calculating the Basin of Attraction of Non-Smooth Dynamical Systems Using Radial Basis Functions -- Stabilizing Lattice Boltzmann Simulation of Fluid Flow past a Circular Cylinder with Ehrenfests’ Limiter -- Fast and Stable Interpolation of Well Data Using the Norm Function -- Algorithms and Literate Programs for Weighted Low-Rank Approximation with Missing Data -- On Bivariate Interpolatory Mask Symbols, Subdivision and Re?nable Functions -- Model and Feature Selection in Metrology Data Approximation En línea: http://dx.doi.org/10.1007/978-3-642-16876-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33399 Ejemplares
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Título : Mathematical Methods and Modelling in Hydrocarbon Exploration and Production Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Armin Iske ; Trygve Randen Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Colección: Mathematics in Industry, ISSN 1612-3956 num. 7 Número de páginas: XII, 452 p Il.: online resource ISBN/ISSN/DL: 978-3-540-26493-4 Idioma : Inglés (eng) Palabras clave: Mathematics Chemoinformatics Earth sciences Image processing Computer mathematics Physics Applied Engineering Computational and Numerical Analysis Applications in Chemistry Sciences, general Processing Vision Theoretical, Mathematical Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning the production workflow are discussed in detail. The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles. Large parts of the material presented in this book were developed between November 2000 and April 2004 through the European research and training network NetAGES, "Network for Automated Geometry Extraction from Seismic". The new methods described here are currently being implemented as software tools at Schlumberger Stavanger Research, one of the world's largest service providers to the oil industry Nota de contenido: Seismic Interpretation -- to Seismic Texture -- Atlas of 3D Seismic Attributes -- The Use of Structure Tensors in the Analysis of Seismic Data -- Automated Structural Interpretation Through Classification of Seismic Horizons -- Automatic Fault Extraction Using Artificial Ants -- Geological Model Building -- Geological Modelling and Reservoir Simulation -- Geological Model Building: A Hierarchical Segmentation Approach -- Mapping 3D Geo-Bodies Based on Level Set and Marching Methods -- Modern Techniques in Seismic Tomography -- Reservoir Modelling and Simulation -- From 3D Seismic Facies to Reservoir Simulation: An Example From the Grane Field -- Reservoir Flow Simulation by Adaptive ADER Schemes -- Optimal Multivariate Interpolation -- A Method for Ranking CO2 Flow Models Using Seismic Modeling and Time-Lapse Data En línea: http://dx.doi.org/10.1007/b137702 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35241 Mathematical Methods and Modelling in Hydrocarbon Exploration and Production [documento electrónico] / SpringerLink (Online service) ; Armin Iske ; Trygve Randen . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - XII, 452 p : online resource. - (Mathematics in Industry, ISSN 1612-3956; 7) .
ISBN : 978-3-540-26493-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Chemoinformatics Earth sciences Image processing Computer mathematics Physics Applied Engineering Computational and Numerical Analysis Applications in Chemistry Sciences, general Processing Vision Theoretical, Mathematical Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Hydrocarbon exploration and production incorporate great technology challenges for the oil and gas industry. In order to meet the world's future demand for oil and gas, further technological advance is needed, which in turn requires research across multiple disciplines, including mathematics, geophysics, geology, petroleum engineering, signal processing, and computer science. This book addresses important aspects and fundamental concepts in hydrocarbon exploration and production. Moreover, new developments and recent advances in the relevant research areas are discussed, whereby special emphasis is placed on mathematical methods and modelling. The book reflects the multi-disciplinary character of the hydrocarbon production workflow, ranging from seismic data imaging, seismic analysis and interpretation and geological model building, to numerical reservoir simulation. Various challenges concerning the production workflow are discussed in detail. The thirteen chapters of this joint work, authored by international experts from academic and industrial institutions, include survey papers of expository character as well as original research articles. Large parts of the material presented in this book were developed between November 2000 and April 2004 through the European research and training network NetAGES, "Network for Automated Geometry Extraction from Seismic". The new methods described here are currently being implemented as software tools at Schlumberger Stavanger Research, one of the world's largest service providers to the oil industry Nota de contenido: Seismic Interpretation -- to Seismic Texture -- Atlas of 3D Seismic Attributes -- The Use of Structure Tensors in the Analysis of Seismic Data -- Automated Structural Interpretation Through Classification of Seismic Horizons -- Automatic Fault Extraction Using Artificial Ants -- Geological Model Building -- Geological Modelling and Reservoir Simulation -- Geological Model Building: A Hierarchical Segmentation Approach -- Mapping 3D Geo-Bodies Based on Level Set and Marching Methods -- Modern Techniques in Seismic Tomography -- Reservoir Modelling and Simulation -- From 3D Seismic Facies to Reservoir Simulation: An Example From the Grane Field -- Reservoir Flow Simulation by Adaptive ADER Schemes -- Optimal Multivariate Interpolation -- A Method for Ranking CO2 Flow Models Using Seismic Modeling and Time-Lapse Data En línea: http://dx.doi.org/10.1007/b137702 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35241 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
