intro Flashcards

1
Q

general optimisation problem:

A

minimise f(x) subject to x in Ω, Ω a subset of R^n

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2
Q

x*:

A

a vector satisfying the constraints, aka an optimum/solution/minimiser

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3
Q

convex set:

A

a set is convex if for all x,y in C (C subset of R^n) and λ in [0,1], λx+(1-λ)y in C, so for any two points the line segment connecting them is also in C

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4
Q

convex function:

A

a function f:C->R^n is convex if C is convex and for all x,y in C and λ in [0,1], f(λx+(1-λ)y) <= λf(x)+(1-λ)f(y)

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