Lecture Notes

Slides and notes are posted here as the semester goes on. The PDF is the version annotated in class; anything else that goes with the lecture (source slides, code, figures) is under Materials.

All notes so far, in one PDF

LectureAnnotated PDFMaterialsDemos
000-intro 000-intro.pdf
10 files
—
010-gauss-elimination 010-gauss-elimination.pdf
4 files
Gaussian Elimination
020-algorithms 020-algorithms.pdf
13 files
Big-O Definition
030-lu-factorization 030-lu-factorization.pdf — —
040-inverse-and-condition 040-inverse-and-condition.pdf
2 files
Condition Number
050-bisection 050-bisection.pdf
9 files
Incremental Search
060-newton 060-newton.pdf
9 files
Newton-Raphson
070-nonlinear-systems 070-nonlinear-systems.pdf
5 files
Newton-Raphson for Systems
080-logarithmic-and-exponential-growth 080-logarithmic-and-exponential-growth.pdf
6 files
—
090-euler 090-euler.pdf
1 file
Euler's Method
100-runge-kutta 100-runge-kutta.pdf
2 files
Runge-Kutta Methods
110-stiff-equations 110-stiff-equations.pdf
4 files
Stiff Systems
120-boundary-value-problems 120-boundary-value-problems.pdf
1 file
Boundary Value Problems
130-optimization 130-optimization.pdf
3 files
Optimization
140-gradient-descent 140-gradient-descent.pdf
2 files
Gradient Descent
One-Dimensional Search
150-newton 150-newton.pdf
6 files
Newton's Method and Conjugate Gradient
160-constrained-optimization 160-constrained-optimization.pdf
1 file
Constrained Optimization
170-augmented-lagrangian 170-augmented-lagrangian.pdf
5 files
Augmented Lagrangian
180-adam 180-adam.pdf
2 files
Adam

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