FE501 – NLP Note
Pre
PM, LPM



Convex and Concave Function
Single Var


Multiple Var


NLP -Single - 701

Unconstrained NLP - Multi - 702

Note: Check Problem 7.


An important notice:
dose not say that, the solved is a extremum point (local max or local min), only saying that it is a stationary point.
To check whether a stationary point is a local extremum ( local max or local min) we need to check the LPMs.
Lagrange Multipliers - 702



KKT - 703

I should probabily say, also by neibourhood analysis, we got that xx is a global max (min) for the problem.