Numerical Methods and Modelling for Engineering

Häftad, Engelska, 2018

AvRichard Khoury,Douglas Wilhelm Harder

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Each method presented addresses a specific type of problem, namely root-finding, optimization, integral, derivative, initial value problem, or boundary value problem, and each one encompasses a set of algorithms to solve the problem given some information and to a known error bound.

Produktinformation

Utgivningsdatum2018-05-26
Mått155 x 235 x 24 mm
Vikt536 g
FormatHäftad
SpråkEngelska
Antal sidor332
FörlagSpringer International Publishing AG
ISBN9783319793313

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Richard Khoury received his Bachelor’s Degree and his Master’s Degree in Electrical and Computer Engineering from Laval University (Québec City, QC) in 2002 and 2004 respectively, and his Doctorate in Electrical and Computer Engineering from the University of Waterloo (Waterloo, ON) in 2007. Since August 2008, he is a faculty member in the Department of Software Engineering at Lakehead University. Dr. Khoury’s primary area of research is natural language processing, but his research interests also include data mining, knowledge management, machine learning, and artificial intelligence.

“This book is intended as a textbook for students, with exercises and questions at the end of each chapter, it is equally suitable for practicing engineers or computer scientists who find themselves using computers to solve numerical problems. … Overall, I found this book very easy to read and follow, with chapters flowing naturally on from each other. … this introductory text on numeric methods does provide just the right level of coverage required of a generalist.” (Bernard Kuc, Computing Reviews, February, 2017)“The work is written clearly … and generously illustrated with frequent figures and examples. The provided ‘engineering examples’ mostly involve application of numerical techniques to simple physical situations. Each chapter includes a summary and multiple exercises for students; answers are presented inthe appendix. In short, this is an excellent text for a first course in numerical analysis. Summing Up: Recommended. Lower- and upper-division undergraduates.” (R. Darby, Choice, Vol. 54 (4), December, 2016)