Numerical Methods II: Roots and Equation Systems

By Boris Obsieger

An amazingly economical version of an excellent textbook established at several universities, written for students at technical universities, but also as an useful handbook for engineers and scientists. Format: B&W on White Paper, 8,5"x11" (216x279 mm), Paperback, 92 pages. The content of parent edition (260 pgs) is scaled and rearranged to fit in the two column layout, so that the reader should take into consideration if the applied 7pt font is acceptable for him. Standard B&W and color versions are also available at all continents. About the book: The book introduces the reader into various root finding methods and into methods for solving linear equation systems and series of such systems, along with the minimisation of computation time, required memory and selective computation of only required unknowns. These methods are important because there are many problems in engineering practice and science that cannot be solved without them. Some methods are already implemented in calculators and standard program libraries, providing their instant use. However, the use of the described methods gives an opportunity to the reader to take full control over computation, and to apply the method which is most suitable for solving his problem. This approach can make numerical algorithms more powerful and faster than they used to be. The book has four chapters. In the first chapter, the open and the bracketing root-finding methods are briefly explained. They can be used for finding roots of nonlinear equations as well as solutions of nonlinear equation systems. In the second chapter, various standard methods for solving linear equation systems, inversion of matrices and calculation of determinants are described. There is also the memory sparing sequential substitution method (SS), which is the background for the sequential elimination method (SEM) (the third chapter) and the improved sequential substitution method (ISS) (fourth chapter). These direct methods use much less memory than the standard methods, and sometimes even less memory than iterative methods. The SEM is further optimised for solving systems with populated system matrix while the ISS is a more general method optimised for solving systems with sparse system matrix as well as series of systems. There is also the possibility to calculate only the selected unknowns, and in that way to remarkably reduce the number of numerical operations and the amount of used computer memory. Practical application of the described methods is supported by 37 examples, 23 flow?charts, 51 algorithms and several computer programs written in Fortran and C that can be immediately implemented for any application. Reviewed by: Prof. Maja Fosner, D.Sc. , University of Maribor, Slovenia Prof. Damir Jelaska, D.Sc. , University of Split, Croatia Prof. Valery Lysenko, D.Sc. , Academic of the Russian Metrological Academy, Russian Research Institute for Metrological Service, Russia Prof. Iztok Potrc, D.Sc. , University of Maribor. Slovenia Prof. Evgeny Pushkar, D.Sc. , Member correspondent of the Russian Academy of Natural Sciences, Moscow State Industrial University, Russia Proof reading by: Senior Lecturer, Ksenija Mance, prof. , University of Rijeka, Croatia

• Format: Paperback
• Language: English
• ISBN: 150892757X
• ISBN13: 9781508927570
• Release Date: April 2015
• Publisher: CreateSpace Independent Publishing Platform
• Length: 92 Pages
• Weight: 0.66 lbs.
• Dimensions: 11.0" x 0.2" x 8.5"