A function f on a convex set is strictly convex whenwhenever x=y and 0<t<1.
f(tx+(1−t)y)<tf(x)+(1−t)f(y)
A strictly convex function has at most one minimizer: if distinct points attained the same minimum, every strict convex combination of them would have a smaller value.
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- Convex function
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- Convex optimization
- Convex potential for the Erlang fixed point
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