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New Numerical Scheme with Newton Polynomial

New Numerical Scheme with Newton Polynomial: Theory, Methods, and Applications provides a detailed discussion on the underpinnings;

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Tracking Filter Engineering

-filters for Gauss-Newton. Of particular interest is a new approach to the tracking of manoeuvring targets that the Gauss-Newton filters make;

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Polynomial Operator Equations in Abstract Spaces and Applications

. Polynomial Operator Equations in Abstract Spaces and Applications - an outgrowth of fifteen years of the author's research work - presents new and;

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Polynomial Operator Equations in Abstract Spaces and Applications

. Polynomial Operator Equations in Abstract Spaces and Applications - an outgrowth of fifteen years of the author's research work - presents new and;

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Numerical Polynomial Algebra

with multivariate polynomial equations whose coefficients have some indeterminacy; for this purpose, he combines approaches of both numerical;

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Structured Matrix Based Methods for Approximate Polynomial GCD

polynomial GCD are presented, along with extensive numerical tests. The use of matrix structure allows, in particular, to lower the asymptotic;

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Genericity In Polynomial Optimization

-degeneracy conditions associated with a given polynomial optimization problem. These conditions are well known in singularity theory, however, they;

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New Sinc Methods of Numerical Analysis

, written independently from each other, show the new developments in numerical analysis in connection with Sinc methods and approximations;

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Intro Polynomial Semi Algebraic Optmiztn

described. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new;

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Numerical Semigroups and Applications

This book is an extended and revised version of Numerical Semigroups with Applications, published by Springer as part of the RSME series;

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Decambering

data as inputs. The new scheme differs from earlier ones in the details of how the residual in the Newton iteration is computed. With earlier;

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Applications of Polynomial Systems

of such systems and includes numerous applications. The book begins with elimination theory from Newton to the twenty-first century and then;

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An Introduction to Polynomial and Semi-Algebraic Optimization

described. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new;

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Numerical Solution Of Systems Of Polynomials Arising In Engineering And Science, The

Written by the founders of the new and expanding field of numerical algebraic geometry, this is the first book that uses an algebraic;

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Numerical Methods for Stochastic Computations

the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension;

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Polynomial and Matrix Computations

Our Subjects and Objectives. This book is about algebraic and symbolic computation and numerical computing (with matrices and polynomials;

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Applied Scientific Computing: With Python

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on;

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Publications of the Newton Institute

book, based on lectures given at the Newton Institute as part of a broader programme, describes a wide variety of numerical methods used;

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Applied Numerical Methods Using MATLAB

This new edition provides an updated approach for students, engineers, and researchers to apply numerical methods for solving problems;

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Polynomial- and Region-Fitting Schemes for Image Compression

-based postprocessing is also introduced that improves the reconstructed image subjectively (rather than objectively). Higher order polynomial;

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Numerical Methods

results on polynomial interpolation at Chebyshev points and use of the MATLAB package Chebfun * Short discussions of the history of numerical;

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Biometrics Authentication Methods

morphometric and spatial analyses (MSA), a new scheme for the polynomial based biometric cryptosystems and secure telemedicine: biometrics for remote;

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Introduction to Ordinary Differential Equations

retains the clear, detailed style of the first three editions. Includes new material on matrix methods, numerical methods, the Laplace transform;

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Polynomial Chaos Methods for Hyperbolic Partial Differential Equations

presented together with numerical methods suitable for the problem at hand: stable high-order finite-difference methods based on summation-by-parts;

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Arc-Search Techniques for Interior-Point Methods

techniques. At the end of this part, a very efficient algorithm with the lowest polynomial bound is presented. The last part, including Chapters 9;

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Arc-Search Techniques for Interior-Point Methods

techniques. At the end of this part, a very efficient algorithm with the lowest polynomial bound is presented. The last part, including Chapters 9;

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