18.330 Numerical Analysis (2008)
From Yossi Farjoun's Homepage
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*10% Quizzes (about 5 throughout the semester) | *10% Quizzes (about 5 throughout the semester) | ||
| − | *10% Written H/W (about | + | *10% Written H/W (about 6 total) No late submissions, grade is based on best 5 |
| − | *25% Programming H/W (about | + | *25% Programming H/W (about 6 total) '''Must''' submit all but one to '''pass''' course |
| − | *15% Each of 2 midterms (The first one is scheduled for Mar 10, 2008) Midterm 1 is "protected" by Midterm 2, and Midterm 2 by the final | + | *15% Each of 2 midterms (The first one is scheduled for Mar 10, 2008) Midterm 1 is "protected" by Midterm 2, and Midterm 2 by the final |
*25% Final | *25% Final | ||
Revision as of 22:36, 5 February 2008
General
| Instructor | Yossi Farjoun |
| Prerequisites | 18.03 or 18.034 |
| Textbook | Numerical Analysis, Burden and Faires however, it is not required. Do not feel obliged to buy this book. |
| Reader | http://math.mit.edu/~yfarjoun/teaching/2008/18.330/reader.pdf is a Work-In-Progress reader. More about this Reader |
| Location | MWF 2-3pm in 2-132 |
| Office hours | 2-334 TR 3:30-5pm |
Grades
The course will have written assignments, programming assignments, quizzes, mid-terms and a final. The grade will be determined by averaging:
- 10% Quizzes (about 5 throughout the semester)
- 10% Written H/W (about 6 total) No late submissions, grade is based on best 5
- 25% Programming H/W (about 6 total) Must submit all but one to pass course
- 15% Each of 2 midterms (The first one is scheduled for Mar 10, 2008) Midterm 1 is "protected" by Midterm 2, and Midterm 2 by the final
- 25% Final
Syllabus
- Calculus Review
- Iterative solutions of algebraic equations
- Chord method
- Secant method
- Newton's method
- Enough Linear Algebra for our needs
- Solution of triangular systems
- LU decomposition of tri-diagonal matrixes
- Solution of non-linear ODE
- Numerical Interpolation
- Polynomial
- Spline
- Numerical Integration
- Trapezoidal Rule
- Simpson's Method
- Numerical Solutions to PDE (Introduction)
