- Uses a "building-block" approach, starting with simpler mathematical tools and using them to develop more and more complex models and methods;
- Integrates modelling, error measuring, and programming, with numerical methods, in order to give an engineering emphasis to an otherwise mathematical topic;
- Demonstrates not only how the math and algorithms work but also how they can be used in engineering practice.
Autorentext
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.
Inhalt
Modelling and Errors.- Numerical Representation.- Iteration.- Linear Algebra.- Taylor Series.- Interpolation, Regression, and Extrapolation.- Bracketing.- Root Finding.- Optimization.- Differentiation.- Integration.- Initial Value Problems.- Boundary Value Problems.