• 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.

From the reviews: "This book by Griffiths (Univ. of Dundee, UK) and Higham (Univ. of Strathclyde, UK) introduces the fields of numerical analysis and scientific computation. ... Overall, there are many examples and exercises for students to read and try. ... The work is very readable for an introductory course. An undergraduate who has completed at least the full calculus sequence should find the material interesting and accessible. Summing Up: Recommended. Lower-division undergraduates." (S. L. Sullivan, Choice, Vol. 48 (10), June, 2011) "There is a place for an elementary text that concentrates on the mathematical aspects while still referring to the applications of initial-value ODEs, and have set out to produce such a book. ... Each chapter ends with a set of graded exercises ... . In addition, there are worked examples throughout the book that illustrate the important ideas being covered. ... a preparatory text for students taking a graduate course in numerical analysis. ... this book is very well suited to its intended purpose." (Philip W. Sharp, Mathematical Reviews, Issue 2012 g) "This book provides material for a first typical course introducing numerical methods for initial-value ordinary differential equations but also highlights some new and emerging themes. ... The authors include a wealth of theoretical and numerical examples that motivate and illustrate the fundamental ideas ... . Although the book is aimed to be used by undergraduate students I felt that it might well be of interest to academic teachers in the field. ... I highly recommend the book ... ." (Rolf Dieter Grigorieff, Zentralblatt MATH, Vol. 1209, 2011) "This textbook introduces undergraduates in mathematics, engineering and the physical sciences to the use of numerical methods for solving ordinary differential equations. ... The primary practical goal of the book is to show students what's going on inside scientific computing software, and to give them a sense of the strengths and limitations of numerical methods. ... This is an attractive, very readable introduction to the subject for students ... ." (William J. Satzer, The Mathematical Association of America, May, 2011)

• 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.

From the reviews: "This book by Griffiths (Univ. of Dundee, UK) and Higham (Univ. of Strathclyde, UK) introduces the fields of numerical analysis and scientific computation. ... Overall, there are many examples and exercises for students to read and try. ... The work is very readable for an introductory course. An undergraduate who has completed at least the full calculus sequence should find the material interesting and accessible. Summing Up: Recommended. Lower-division undergraduates." (S. L. Sullivan, Choice, Vol. 48 (10), June, 2011) "There is a place for an elementary text that concentrates on the mathematical aspects while still referring to the applications of initial-value ODEs, and have set out to produce such a book. ... Each chapter ends with a set of graded exercises ... . In addition, there are worked examples throughout the book that illustrate the important ideas being covered. ... a preparatory text for students taking a graduate course in numerical analysis. ... this book is very well suited to its intended purpose." (Philip W. Sharp, Mathematical Reviews, Issue 2012 g) "This book provides material for a first typical course introducing numerical methods for initial-value ordinary differential equations but also highlights some new and emerging themes. ... The authors include a wealth of theoretical and numerical examples that motivate and illustrate the fundamental ideas ... . Although the book is aimed to be used by undergraduate students I felt that it might well be of interest to academic teachers in the field. ... I highly recommend the book ... ." (Rolf Dieter Grigorieff, Zentralblatt MATH, Vol. 1209, 2011) "This textbook introduces undergraduates in mathematics, engineering and the physical sciences to the use of numerical methods for solving ordinary differential equations. ... The primary practical goal of the book is to show students what's going on inside scientific computing software, and to give them a sense of the strengths and limitations of numerical methods. ... This is an attractive, very readable introduction to the subject for students ... ." (William J. Satzer, The Mathematical Association of America, May, 2011)

• 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.

From the reviews: "This book by Griffiths (Univ. of Dundee, UK) and Higham (Univ. of Strathclyde, UK) introduces the fields of numerical analysis and scientific computation. ... Overall, there are many examples and exercises for students to read and try. ... The work is very readable for an introductory course. An undergraduate who has completed at least the full calculus sequence should find the material interesting and accessible. Summing Up: Recommended. Lower-division undergraduates." (S. L. Sullivan, Choice, Vol. 48 (10), June, 2011) "There is a place for an elementary text that concentrates on the mathematical aspects while still referring to the applications of initial-value ODEs, and have set out to produce such a book. ... Each chapter ends with a set of graded exercises ... . In addition, there are worked examples throughout the book that illustrate the important ideas being covered. ... a preparatory text for students taking a graduate course in numerical analysis. ... this book is very well suited to its intended purpose." (Philip W. Sharp, Mathematical Reviews, Issue 2012 g) "This book provides material for a first typical course introducing numerical methods for initial-value ordinary differential equations but also highlights some new and emerging themes. ... The authors include a wealth of theoretical and numerical examples that motivate and illustrate the fundamental ideas ... . Although the book is aimed to be used by undergraduate students I felt that it might well be of interest to academic teachers in the field. ... I highly recommend the book ... ." (Rolf Dieter Grigorieff, Zentralblatt MATH, Vol. 1209, 2011) "This textbook introduces undergraduates in mathematics, engineering and the physical sciences to the use of numerical methods for solving ordinary differential equations. ... The primary practical goal of the book is to show students what's going on inside scientific computing software, and to give them a sense of the strengths and limitations of numerical methods. ... This is an attractive, very readable introduction to the subject for students ... ." (William J. Satzer, The Mathematical Association of America, May, 2011)