Introduction to the Spectral Theory of Polynomial Operator Pencils, A. S. Markus

Автор: Lasserre
Название: An Introduction to Polynomial and Semi-Algebraic Optimization
ISBN: 1107060575 ISBN-13(EAN): 9781107060579
Издательство: Cambridge Academ
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Цена: 141510.00 T
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Описание: This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new approach through the simple worked examples provided.

Автор: Lasserre
Название: An Introduction to Polynomial and Semi-Algebraic Optimization
ISBN: 110763069X ISBN-13(EAN): 9781107630697
Издательство: Cambridge Academ
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Цена: 48570.00 T
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Описание: This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems. Graduate students, engineers and researchers entering the field can use this book to understand, experiment with and master this new approach through the simple worked examples provided.

Автор: E.V. Krishnamurthy
Название: Error-Free Polynomial Matrix Computations
ISBN: 1461295726 ISBN-13(EAN): 9781461295723
Издательство: Springer
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Цена: 107130.00 T
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Описание: This book is written as an introduction to polynomial matrix computa- tions. This book is intended for seniors and graduate students in computer and system sciences, and mathematics, and for researchers in the fields of computer science, numerical analysis, systems theory, and computer algebra.

Автор: Manfred Reimer
Название: Multivariate Polynomial Approximation
ISBN: 3034894368 ISBN-13(EAN): 9783034894364
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book introduces general theory by presenting the most important facts on multivariate interpolation, quadrature, orthogonal projections and their summation, all treated under a constructive view, and embedded in the theory of positive linear operators.

Автор: Vui Ha Huy Et Al
Название: Genericity In Polynomial Optimization
ISBN: 1786342219 ISBN-13(EAN): 9781786342218
Издательство: World Scientific Publishing
Цена: 77090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations. This book explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic problems are defined in a simple and elegant manner by using only the two basic (and relatively simple) notions of Newton polyhedron and non-degeneracy conditions associated with a given polynomial optimization problem. These conditions are well known in singularity theory, however, they are rarely considered within the optimization community.

Explanations focus on critical points and tangencies of polynomial optimization, HOlderian error bounds for polynomial systems, Frank-Wolfe-type theorem for polynomial programs and well-posedness in polynomial optimization. It then goes on to look at optimization for the different types of polynomials. Through this text graduate students, PhD students and researchers of mathematics will be provided with the knowledge necessary to use semi-algebraic geometry in optimization.

Автор: Alicia Dickenstein; Ioannis Z. Emiris
Название: Solving Polynomial Equations
ISBN: 3642063616 ISBN-13(EAN): 9783642063619
Издательство: Springer
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Цена: 83810.00 T
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Автор: V. Bykov; A. Kytmanov; M. Lazman; Mikael Passare
Название: Elimination Methods in Polynomial Computer Algebra
ISBN: 9401062307 ISBN-13(EAN): 9789401062305
Издательство: Springer
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Цена: 46570.00 T
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Описание: The subject of this book is connected with a new direction in mathematics, which has been actively developed over the last few years, namely the field of polynomial computer algebra, which lies at the intersection point of algebra, mathematical analysis and programming.

Автор: Mass Per Pettersson; Gianluca Iaccarino; Jan Nords
Название: Polynomial Chaos Methods for Hyperbolic Partial Differential Equations
ISBN: 3319107135 ISBN-13(EAN): 9783319107134
Издательство: Springer
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Цена: 104480.00 T
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Описание: Polynomial Chaos Methods for Hyperbolic Partial Differential Equations

Автор: Peter Stefanidis; Andrzej P. Paplinski; Michael J.
Название: Numerical Operations with Polynomial Matrices
ISBN: 3540549927 ISBN-13(EAN): 9783540549925
Издательство: Springer
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Цена: 104480.00 T
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Описание: The purpose of this monograph is to describe a class of com-putational methods, based on polynomial matrices, for thedesign of dynamic compensators for linear multi-variablecontrol systems.

Автор: Vladimir V. Andrievskii; Hans-Peter Blatt
Название: Discrepancy of Signed Measures and Polynomial Approximation
ISBN: 1441931465 ISBN-13(EAN): 9781441931467
Издательство: Springer
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Цена: 172350.00 T
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Описание: A concise outline of the basic facts of potential theory and quasiconformal mappings makes this book an ideal introduction for non-experts who want to get an idea of applications of potential theory and geometric function theory in various fields of construction analysis.

Автор: Bates
Название: Numerically Solving Polynomial Systems with Bertini
ISBN: 1611972698 ISBN-13(EAN): 9781611972696
Издательство: Mare Nostrum (Eurospan)
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Цена: 100710.00 T
Наличие на складе: Нет в наличии.
Описание: This book is a guide to concepts and practice in numerical algebraic geometry - the solution of systems of polynomial equations by numerical methods. Through numerous examples, the authors show how to apply the well-received and widely used open-source Bertini software package to compute solutions, including a detailed manual on syntax and usage options. The authors also maintain a complementary web page where readers can find supplementary materials and Bertini input files.Numerically Solving Polynomial Systems with Bertini approaches numerical algebraic geometry from a user's point of view with numerous examples of how Bertini is applicable to polynomial systems. It treats the fundamental task of solving a given polynomial system and describes the latest advances in the field, including algorithms for intersecting and projecting algebraic sets, methods for treating singular sets, the nascent field of real numerical algebraic geometry, and applications to large polynomial systems arising from differential equations.Those who wish to solve polynomial systems can start gently by finding isolated solutions to small systems, advance rapidly to using algorithms for finding positive-dimensional solution sets (curves, surfaces, etc.), and learn how to use parallel computers on large problems. These techniques are of interest to engineers and scientists in fields where polynomial equations arise, including robotics, control theory, economics, physics, numerical PDEs, and computational chemistry.