FE501 – NLP Note

Pre

PM, LPM

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Convex and Concave Function

Single Var

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Multiple Var

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NLP -Single - 701

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Unconstrained NLP - Multi - 702

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Note: Check Problem 7.

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2022-12-26 at 09.54.21

An important notice:

f=0 dose not say that, the solved x¯ 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

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KKT - 703

2022-12-26 at 08.54.08

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