Numerical methods for ordinary differential equations : initial value problems
著者
書誌事項
Numerical methods for ordinary differential equations : initial value problems
(Springer undergraduate mathematics series)
Springer, c2010
大学図書館所蔵 全15件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. [261]-266) and index
内容説明・目次
内容説明
Numerical Methods for Ordinary Differential Equations is a self-contained introduction to a fundamental field of numerical analysis and scientific computation. Written for undergraduate students with a mathematical background, this book focuses on the analysis of numerical methods without losing sight of the practical nature of the subject.
It covers the topics traditionally treated in a first course, but also highlights new and emerging themes. Chapters are broken down into `lecture' sized pieces, motivated and illustrated by numerous theoretical and computational examples.
Over 200 exercises are provided and these are starred according to their degree of difficulty. Solutions to all exercises are available to authorized instructors.
The book covers key foundation topics:
o Taylor series methods
o Runge--Kutta methods
o Linear multistep methods
o Convergence
o Stability
and a range of modern themes:
o Adaptive stepsize selection
o Long term dynamics
o Modified equations
o Geometric integration
o Stochastic differential equations
The prerequisite of a basic university-level calculus class is assumed, although appropriate background results are also summarized in appendices. A dedicated website for the book containing extra information can be found via www.springer.com
目次
ODEs-An Introduction.- Euler's Method.- The Taylor Series Method.- Linear Multistep Methods-I: Construction and Consistency.- Linear Multistep Methods-II: Convergence and Zero-Stability.- Linear Multistep Methods-III: Absolute Stability.- Linear Multistep Methods-IV: Systems of ODEs.- Linear Multistep Methods-V: Solving Implicit Methods.- Runge-Kutta Method-I: Order Conditions.- Runge-Kutta Methods-II Absolute Stability.- Adaptive Step Size Selection.- Long-Term Dynamics.- Modified Equations.- Geometric Integration Part I-Invariants.- Geometric Integration Part II-Hamiltonian Dynamics.- Stochastic Differential Equations.
「Nielsen BookData」 より