| LEC # | TOPICS | LECTURE NOTES | HOMEWORKS |
|---|---|---|---|
| 1 |
1.1.- Introduction Notation and Definitions; Norms and Matrix norms;
Gradient, Hessian, Differentiation rules and Directional
derivative; Taylor's formula; Big O and little o notation. |
(PDF) | |
|
1.2.-Fundamentals of Unconstrained Optimization Introduction; Type of extrema; Necessary and Sufficient
Conditions; Classification of stationary point. |
(PDF) | ||
|
1.3.-Convex sets Convex sets and cones; some common and important examples; operations that preserve convexity. |
(PDF) | ||
|
1.4.-Convex sets Convex sets and cones; some common and important examples; operations that preserve convexity. |
(PDF) | dd |
|
| 2 |
Introduction Notation and Definitions; Norms and Matrix norms;
Gradient, Hessian, Differentiation rules and Directional
derivative; Taylor's formula; Big O and little o notation. |
(PDF) | |
|
Convex sets Convex sets and cones; some common and important examples; operations that preserve convexity. |
(PDF) |