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. A content of the 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 types of approximations of functions, which are defined either explicitly or by their values in the distinct set of points, as well as into the economisation of existing approximation formulas.
Why the approximation of functions is so important? Simply, various functions (such as trigonometric functions and logarithms) cannot be calculated without approximation. Approximation formulas for some of these functions are already implemented in calculators and standard computer libraries, providing accuracy to all the bits in which a value is stored. High accuracy is usually not required and requires more numerical operations then necessary. Economised approximation formulas can provide the required accuracy with less numerical operations, and can make numerical algorithms faster, especially when such formulas are nested in loops. The other important use of approximation is in calculating functions that are defined by values at a chosen set of points.
The book is divided into five chapters. The first chapter briefly explaines Maclaurin, Taylor or Padé expansion, principles of approximations with orthogonal series and principles of the least squares approximations. In the second chapter, various types of least squares polynomial approximations, particularly those using Legendre, Jacobi, Laguerre, Hermite, Zernike and Gram orthogonal polynomials are explained. The third chapter explains approximations with Fourier series, which are the base for developing approximations with Chebyshev polynomials (fourth chapter). Uniform approximation and further usage of Chebyshev polynomials in the almost uniform approximation, as well as in the economisation of the existing approximation formulas, are described in the fifth chapter.
Practical application of the described approximation procedures is supported by 40 examples and 37 algorithms. In addition to its practical usage, the given text with 37 figures and 12 tables represents a valuable background for understanding, using, developing and applying various numerical methods, such as interpolation, numerical integration and solving partial differential equations, which are topics covered in the following volumes of the series Numerical Methods.
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:
Jasenka Toplicanec, prof., Zagreb, Croatia
"synopsis" may belong to another edition of this title.
Boris Obsieger, D.Sc., professor at the University of Rijeka, Croatia. Head of Section for Machine Elements at the Faculty of Engineering in Rijeka. Holds lectures on Machine Elements Design, Robot Elements Design, Numerical Methods in Design and Boundary Element Method. Several invited lectures. President of CADAM Conferences. Main editor of international journal Advanced Engineering. Author of several books and a lot of scientific papers.
"About this title" may belong to another edition of this title.
Book Description CreateSpace Independent Publishing Platform, 2015. Paperback. Book Condition: Brand New. 92 pages. 11.00x8.50x0.21 inches. This item is printed on demand. Bookseller Inventory # zk1511500751