Optimization
Review of mt3042 Optimization Guide by M. Baltovic
Logical structure of definitions
See if this definition of a function is better than others
Least upper bound and largest lower bound
How to study mt3042 Optimisation: a guide to a guide
Geometry related to derivatives
The Cobb-Douglas function and level sets
Taylor decomposition for unconstrained optimization
Unconstrained optimization on the plane: necessary condition
Unconstrained optimization on the plane: sufficient conditions
Optimization with constraints: economic and financial examples
Importance of implicit function theorem for optimization
Lagrange method: necessary condition
Lagrange method: sufficient conditions
Lagrange method: case of many equality constraints
The Lagrangian multiplier interpretation
The Kuhn-Tucker theorem: a first look
The Kuhn-Tucker theorem ins and outs
Finite Horizon Dynamic Programming
Using convexity in optimization
Cauchy-Schwarz inequality and optimization 1
Cauchy-Schwarz inequality and optimization 2
The economical way to use the Kuhn-Tucker theorem
The right solution to Example 6.5
Solution to exercise 6.1: how to use homogeneity