6
votes
Accepted
Single KKT solution for a simple problem: proof of being minimizer
You have shown that KKT is necessary for a local minimum. Also that it is necessary for a local maximum. But you have not shown that a local minimum or local maximum exists. Indeed, there is no local ...
4
votes
Accepted
Radial unboundedness vs convexity
The notation $C^1$ means $f'$ is continuous (on $\Bbb R$ as the interval is not stated). In general $C^k(a,b]$ means that all of $f',f'',\cdots,f^{(k)}$ are continuous on $(a,b]$.
You are correct ...
2
votes
Quality of Solutions from Saddle Points vs. Local Minimums
In minimization a lower loss if preferable under all circumstances. Each saddle point has a local minima one could discover from it if one walked in the right direction. Whether an individual saddle ...
1
vote
Accepted
Large MINLP problem, searching for solver, tried BARON, ANTIGONE, DICOPT
If a deterministic global optimisation solver (such as Baron) reports a local solution, that solution is reliable. If the solver is terminated prematurely, the global solver will return the best ...
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Related Tags
local-minimum × 4optimization × 2
constraint × 1
machine-learning × 1
kkt-conditions × 1
minlp × 1
global-optimality × 1
baron × 1