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Approximation Theory MATH 624 SA Semester(I) 1434/35H 2013/14G Instructor's Information Instructor Hanan Ali Batarfi, Dr. Office 9c, Floor-2, Maths. Dept., Science Buliding (7) Campus Women's Campus-Main Tel +966-12-6952000 ext 26216 Email [email protected] Office Hours Monday&Wednesday 1-3pm, Tuesday 11am-1pm+2 to 3pm Course URL TBA Course's Basics Credit Theoretical No. of Weeks Student's catogary 3 hours 3 hours Lab 1:30 hours 16 Seniors Course Pre-requisite MATH 621 or 622 Numerical Treatment of Simultaneous Linear Equations /or/ Numerical Treatment of OD Equations Course Objectives 1 Systematic study of the different approximation methods and/or theories, 2 A study of few application of these methods and/or theories in real life 3 Computational study and numerical evaluation of the approximations and the involved error Course Grading Seminar 1 Seminar 2 Seminar 3 Seminar 4 Project 1 15% 15% 15% 15% 40% Seminar's/Project Topic Seminar 1 Some Methods in Approximation Theory: A seminar given to the PG students and researcher in Faculty of Science, the seminar covers some real life model/experimental applications. A Maple programming and numerical results are discussed Seminar 2 De La Valee-Poussin Approximation and its Application Seminar 3 TBA Seminar 4 TBA 1 Project 1 Multivariate Pade' Approximation for Solving Course Flow Week Topic 1 2 Best approximation in Normed space, ch.1 in [1] 3 Least Square (LS) Approximation, sec.8.1 in [3] and [3] 4 Orthogonal Polynomials, ch.8 in [1] and [4] 5 Orthogonal Polynomial and LS Approximation, Sec. 8.2 in [2] and [3] 6 Eid AlAdh'ha 7+8 Chebyshev Polynomial: (a)Characterization in [3] pp31-43 and (b)Economization of Power Series in [2], sec.8.3. 9 De La Valee'-Poussin in [4], lec.4 10+11 Rational Function in sec.8.4 [2]: -Pade' Approx in [2]+[4] -Continued Fraction and Chebyshev Poly. 12 Spline Function and Approximation in [4], lec.10/11 13+14 Multivariate Approximation 15 16 17 Final Seminar's date/time Seminar 1 Tues 24/12/1434H Project 1 References/Supplementary Reading [1] "A Short Course on Approximation Theory", N. L. Carothers, Bowling Green State University, Lecture notes. [2] "Numerical Analysis", Richard Burden and J. Douglas Faires, 8th Ed. (Thomson Brooks-Cole, 2005) [3] "Approximation Theory", Massoud Malek (http://www.mcs.csueastbay.edu/~maleklclasslapprox.pdf); "Numerical Approximation", Carmen Are'valo and clan Fuhrer, http://www.maths.lth.se/na/courses/numa12/ [4] "Son of Afternotes on Numerical Analysis", G. W. Stewart, Lectures' Series, University of Maryland, 1996. 2