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B-series = algebraic analysis of numerical methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	B-series/ by John C. Butcher.
Reminder of title:	algebraic analysis of numerical methods /
Author:	Butcher, John C.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	x, 310 p. :ill., digital ;24 cm.
[NT 15003449]:	1 Differential equations, numerical methods and algebraic analysis -- 2 Trees and forests -- 3 B-series and algebraic analysis -- 4 Algebraic analysis and integration methods -- 5 B-series and Runge-Kutta methods -- 6 B-series and multivalue methods -- 7 B-series and geometric integration -- Answers to the exercises -- References -- Index.
Contained By:	Springer Nature eBook
Subject:	Runge-Kutta formulas. -
Online resource:	https://doi.org/10.1007/978-3-030-70956-3
ISBN:	9783030709563

B-series = algebraic analysis of numerical methods /
Butcher, John C.

B-seriesalgebraic analysis of numerical methods /[electronic resource] :by John C. Butcher. - Cham :Springer International Publishing :2021. - x, 310 p. :ill., digital ;24 cm. - Springer series in computational mathematics,v.550179-3632 ;. - Springer series in computational mathematics ;v.55..

1 Differential equations, numerical methods and algebraic analysis -- 2 Trees and forests -- 3 B-series and algebraic analysis -- 4 Algebraic analysis and integration methods -- 5 B-series and Runge-Kutta methods -- 6 B-series and multivalue methods -- 7 B-series and geometric integration -- Answers to the exercises -- References -- Index.

B-series, also known as Butcher series, are an algebraic tool for analysing solutions to ordinary differential equations, including approximate solutions. Through the formulation and manipulation of these series, properties of numerical methods can be assessed. Runge-Kutta methods, in particular, depend on B-series for a clean and elegant approach to the derivation of high order and efficient methods. However, the utility of B-series goes much further and opens a path to the design and construction of highly accurate and efficient multivalue methods. This book offers a self-contained introduction to B-series by a pioneer of the subject. After a preliminary chapter providing background on differential equations and numerical methods, a broad exposition of graphs and trees is presented. This is essential preparation for the third chapter, in which the main ideas of B-series are introduced and developed. In chapter four, algebraic aspects are further analysed in the context of integration methods, a generalization of Runge-Kutta methods to infinite index sets. Chapter five, on explicit and implicit Runge-Kutta methods, contrasts the B-series and classical approaches. Chapter six, on multivalue methods, gives a traditional review of linear multistep methods and expands this to general linear methods, for which the B-series approach is both natural and essential. The final chapter introduces some aspects of geometric integration, from a B-series point of view. Placing B-series at the centre of its most important applications makes this book an invaluable resource for scientists, engineers and mathematicians who depend on computational modelling, not to mention computational scientists who carry out research on numerical methods in differential equations. In addition to exercises with solutions and study notes, a number of open-ended projects are suggested. This combination makes the book ideal as a textbook for specialised courses on numerical methods for differential equations, as well as suitable for self-study.

ISBN: 9783030709563

Standard No.: 10.1007/978-3-030-70956-3doiSubjects--Topical Terms:

1639255
Runge-Kutta formulas.

LC Class. No.: QA297.5 / .B883 2021

Dewey Class. No.: 511.4

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505 0 $a 1 Differential equations, numerical methods and algebraic analysis -- 2 Trees and forests -- 3 B-series and algebraic analysis -- 4 Algebraic analysis and integration methods -- 5 B-series and Runge-Kutta methods -- 6 B-series and multivalue methods -- 7 B-series and geometric integration -- Answers to the exercises -- References -- Index.
520 $a B-series, also known as Butcher series, are an algebraic tool for analysing solutions to ordinary differential equations, including approximate solutions. Through the formulation and manipulation of these series, properties of numerical methods can be assessed. Runge-Kutta methods, in particular, depend on B-series for a clean and elegant approach to the derivation of high order and efficient methods. However, the utility of B-series goes much further and opens a path to the design and construction of highly accurate and efficient multivalue methods. This book offers a self-contained introduction to B-series by a pioneer of the subject. After a preliminary chapter providing background on differential equations and numerical methods, a broad exposition of graphs and trees is presented. This is essential preparation for the third chapter, in which the main ideas of B-series are introduced and developed. In chapter four, algebraic aspects are further analysed in the context of integration methods, a generalization of Runge-Kutta methods to infinite index sets. Chapter five, on explicit and implicit Runge-Kutta methods, contrasts the B-series and classical approaches. Chapter six, on multivalue methods, gives a traditional review of linear multistep methods and expands this to general linear methods, for which the B-series approach is both natural and essential. The final chapter introduces some aspects of geometric integration, from a B-series point of view. Placing B-series at the centre of its most important applications makes this book an invaluable resource for scientists, engineers and mathematicians who depend on computational modelling, not to mention computational scientists who carry out research on numerical methods in differential equations. In addition to exercises with solutions and study notes, a number of open-ended projects are suggested. This combination makes the book ideal as a textbook for specialised courses on numerical methods for differential equations, as well as suitable for self-study.
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