TextbookNumerical Mathematics second
edition, by A. Quarteroni, R. Sacco, F. Faleri. Available from Pitt Bookstore.

Content
This is the second part of the sequence MATH
2070- MATH 2071 which is intended as an introduction to numerical
methods for science and engineering. The course is complemented with
a fully integrated computer laboratory. We will emphasize both
theoretical analysis of the algorithms and practical implementation
issues. MATH 2071 covers chapters

11. Numerical Solution of Ordinary Differential Equations,
3-4. Direct and Iterative Methods for Solving Linear Systems,
5. Approximation of Eigenvalues and Eigenvectors.

MATH 2070 covered chapters

1. Foundation of Matrix Analysis,
2. Principles of Numerical Mathematics,
6. Rootfinding for Nonlinear Equations,
7. Nonlinear Systems and Numerical Optimization,
8. Polynomial Interpolation,
9. Numerical Integration, 10. Orthogonal Polynomials in Approximation Theory;

Prerequisites single variable and multivariable
calculus, a knowledge of computing programming, linear algebra. Any
programming language can be used in the computational
assignments. Assistance will only be provided for Matlab. An
introduction to Matlab will be given in the Lab.

Grading Policy The final grade will be based on
homeworks (40%), lab assignments (30%) and exam (30%).
There will be one take-home exam at the end of the semester.
Late homework will be accepted only by special permission of the
instructor.

Homeworks

The printouts of the codes should be included.

Homework 1, due January 16: page 536, numbers 1 and 2.

If you have a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and Disability Resources and Services, 140 William Pitt Union, 412-648-7890 or 412-383-7355 (TTY) as early as possible in the term. DRS will verify your disability and determine reasonable accommodations for this course.