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Analyse numérique.  Numerical analysis  Lissage (analyse numérique)  Smoothing (Numerical analysis)
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Stochastic processes  Mathematical statistics  Smoothing (Numerical analysis)  Smoothing (Statistics)  Spline theory  Spline functions  Approximation theory  Interpolation  Curve fitting  Numerical analysis  Graduation (Statistics)  Roundoff errors  Statistics
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Spline theory  Academic collection  Surface fitting  Curve fitting.  Mathematics.  Splines  Scientific computation  Joints (Engineering)  Mechanical movements  Harmonic drives  Math  Science  Fitting, Curve  Numerical analysis  Least squares  Smoothing (Numerical analysis)  Statistics  Spline functions  Approximation theory  Interpolation  Graphic methods  Monograph
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Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added. This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.
Interpolation.  Smoothing (Numerical analysis)  Smoothing (Statistics)  Curve fitting.  Splines.  Spline theory.  Spline functions  Approximation theory  Interpolation  Joints (Engineering)  Mechanical movements  Harmonic drives  Fitting, Curve  Numerical analysis  Least squares  Statistics  Curve fitting  Graduation (Statistics)  Roundoff errors  Graphic methods
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Electronic books.  local.  Emigrant remittances  Jordan  Mathematical models.  Foreign exchange rates  Jordan  Mathematical models.  Grantsinaid  Jordan  Mathematical models.  Smoothing (Numerical analysis).  Finance  Business & Economics  International Finance  Foreign exchange rates  Emigrant remittances  Grantsinaid  Smoothing (Numerical analysis)  Mathematical models.  Immigrant remittances  Remittances, Emigrant  Exchange rates  Fixed exchange rates  Flexible exchange rates  Floating exchange rates  Fluctuating exchange rates  Foreign exchange  Rates of exchange  Federal grants  Grants  Rates  Curve fitting  Numerical analysis  Intergovernmental fiscal relations  Economic assistance, Domestic  Local finance
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AA / International internationaal  302  Opmaak en presentatie van statistische reeksen en tabellen. Grafieken.  Curve fitting  Interpolation  Spline theory  519.6  519.6 Computational mathematics. Numerical analysis. Computer programming  Computational mathematics. Numerical analysis. Computer programming  Spline functions  Approximation theory  Fitting, Curve  Numerical analysis  Least squares  Smoothing (Numerical analysis)  Statistics  Graphic methods  Numerical approximation theory  Opmaak en presentatie van statistische reeksen en tabellen. Grafieken
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This work introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 selfcontained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel optimization, management of parallel programming models and data, with the largest focus on parallel scientific computing in industrial applications.Key features include: construction and analysis of parallel algorithms for linear algebra and optimization problems; different aspects of parallel architectures, including distributed memory computers with multicore processors; a wide range of industrial applications: parallel simulation of flows through oil filters as well as in porous and gas media, jet aerodynamics, heat conduction in electrical cables, nonlinear optics processes in tapered lasers, and molecular and cell dynamics.
519.22  Curve fitting  Estimation theory  Estimating techniques  Least squares  Mathematical statistics  Stochastic processes  Fitting, Curve  Numerical analysis  Smoothing (Numerical analysis)  Statistics  519.22 Statistical theory. Statistical models. Mathematical statistics in general  Statistical theory. Statistical models. Mathematical statistics in general  Congresses  Graphic methods  Estimation theory  Industrial engineering  Parallel algorithms  Parallel processing (Electronic computers)  Congresses.  Mathematics  Industrial applications  Numerical approximation theory  Approximation numérique.
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Modeles mathematiques.  Moindres carres  Statistik.  Methode der kleinsten Quadrate.  Mathematical models.  Least squares  Method of least squares  Squares, Least  Curve fitting  Geodesy  Mathematical statistics  Mathematics  Probabilities  Triangulation  Models, Mathematical  Simulation methods  Informatique.  Data processing.  Least squares.  Curve fitting.  Fitting, Curve  Numerical analysis  Smoothing (Numerical analysis)  Statistics  Graphic methods
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Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curvefitting. This book addresses this relatively focused need of an extraordinarily broad range of scientists.
Biology  Regression analysis.  Nonlinear theories.  Curve fitting.  Fitting, Curve  Numerical analysis  Least squares  Smoothing (Numerical analysis)  Statistics  Nonlinear problems  Nonlinearity (Mathematics)  Calculus  Mathematical analysis  Mathematical physics  Analysis, Regression  Linear regression  Regression modeling  Multivariate analysis  Structural equation modeling  Biological models  Biomathematics  Mathematical models.  Graphic methods
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