Acta numerica 2021: volume 30, 

Автор: Iserles
Название: Acta Numerica 2016
ISBN: 1107168058 ISBN-13(EAN): 9781107168053
Издательство: Cambridge Academ
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Описание: Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Название: ACTA Numerica 2020: Volume 29
ISBN: 1108843360 ISBN-13(EAN): 9781108843362
Издательство: Cambridge Academ
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Цена: 26453.00 р.
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Описание: Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Автор: Arieh Iserles
Название: Acta Numerica 2019: Volume 28
ISBN: 1108478689 ISBN-13(EAN): 9781108478687
Издательство: Cambridge Academ
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Цена: 26453.00 р.
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Описание: Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Автор: Iserles
Название: Acta Numerica 2015
ISBN: 1107112583 ISBN-13(EAN): 9781107112582
Издательство: Cambridge Academ
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Цена: 19800.00 р.
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Описание: Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Автор: Iserles
Название: Acta Numerica 2013
ISBN: 1107043867 ISBN-13(EAN): 9781107043862
Издательство: Cambridge Academ
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Цена: 21384.00 р.
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Описание: Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Автор: Tom Richmond
Название: General Topology: An Introduction
ISBN: 3110686562 ISBN-13(EAN): 9783110686562
Издательство: Walter de Gruyter
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Цена: 14495.00 р.
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Описание:

The first half of the book provides an introduction to general topology, with ample space given to exercises and carefully selected applications. The second half of the text includes topics in asymmetric topology, a field motivated by applications in computer science. Recurring themes include the interactions of topology with order theory and mathematics designed to model loss-of-resolution situations.

Автор: Bates
Название: Numerically Solving Polynomial Systems with Bertini
ISBN: 1611972698 ISBN-13(EAN): 9781611972696
Издательство: Mare Nostrum (Eurospan)
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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.