Instructor:
Anita Layton
- Office: Physics 127
- Phone: (919) 660-6979
- Office Hours:
TBA in Physics 127
- Email:
alayton@math.duke.edu
Class Times: MWF: 11:55 a.m. - 12:45 p.m.
in Physics 120
Prerequisite: Math 103, 104, and basic programming background in C/C++, FORTRAN, or MATLAB
Textbooks:
Course Outline:
This course will develop the theoretical and computational techniques for
- finding roots of nonlinear functions (bisection, linear iterative methods,
Newton's method)
-
numerical linear algebra (direct and iterative solutions for
large matrix-vector systems, solutions of eigenvalue problems)
-
the solution of nonlinear systems (Newton's method).
Error analysis and formulation of convergent mathematical schemes will be used to derive stable, reliable, efficient, and accurate numerical methods for large classes of problems.
Scientific Computing II develops indispensable computation tools for research in many areas of engineering and applied mathematics.
This course is a prerequisite for Math 226 and 227: Numerical Partial Differential Equations, parts I & II.
Problem sets
A MATLAB Tutorial
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