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Course Description This is a survey course of the basic numerical methods which are used to solve practical scientific problems. Important concepts such as accuracy, stability, efficiency and convergence are discussed. The course provides an introduction to MATLAB, an interactive program for numerical linear algebra. Textbook A Friendly Introduction to Numerical Analysis By: Brian Bradie ISBN: 0-13-013054-0 Publisher: Prentice Hall Copyright: 2006 Published: Selected programs: Selected solutions/answers: Additional reading: Numerical Computing with MATLAB By: Cleve B. Moler ISBN: Publisher: Society for Industrial & Applied Available electronically at Numerical Methods Using Matlab (Fourth Edition). Mathews and Kurtis D. Fink An introduction to numerical analysis By: Kendall E.

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Atkinson QA 297.A841 Numerical Analysis By: Richard L. Burden and J.

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Douglas Faires Elementary Numerical Analysis (3rd Edition) By: Kendall Atkinson and Weimin Han MATLAB guide By: Desmond J. Higham & Nicholas J.

QA297.H5217 2000 Syllabus Download syllabus: Objectives of the course. Develop numerical methods for approximately solving problems from continuous mathematics on the computer.

Examine the accuracy of these methods. Examine the stability of these methods. Examine the failure modes of these methods. Implement these methods in a computer language (MATLAB) Computer language In this course, we will make extensive use of Matlab, a technical computing environment for numerical computation and visualization produced. This will take a little learning, but will pay off in the long run, since programming numerical methods is much easier (and quicker) in Matlab than in virtually any other language. A Matlab manual is available in the.

This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization.For engineering and computer science fields. NUMERICAL METHODS. Mathews Department of Mathematics California State University Fullerton, CA 92634. Email: mathews@fullerton.edu. Contains numerical methods software coded in MATLAB, C, Fortran and Pascal covering the following topics: The Solution of Nonlinear Equations f(x) = 0; The Solution of. ISBN-13: 900. Publisher: Prentice Hall Professional Technical Reference. Publication date:. Edition description: Older Edition. Product dimensions: 7.30(w) x 9.59(h) x 1.42(d).

Also available is a MATLAB tutorial written by Peter Blossey: ( ) Another standard one is Kermit Sigmon's Matlab Primer: Here is another Matlab resource available on the net:. In addition, there are many textbooks about Matlab. One of them is MATLAB guide By: Desmond J.

Higham & Nicholas J. QA297.H5217 2000 Handouts in format. or. Cancellation of Significant Digits Example. Comparison of Rootfinding Methods (Bisection, False Position, Newton, and Secant) by J.

Synopsis: This text provides an introduction to numerical analysis for either a single term course or a year long sequence. It is suitable for undergraduate students in mathematics, science, and engineering.