How to optimize nonlinear goal under linear constraints?

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I have a "linear" equation set as follows, with nonlinear optimization goal.

P(0) + P(1) = 1

P(0, 0) + P(0,1) = P(0)

P(0) < 1

P(1) < 1

P(0,0) > 0

P(0,1) > 0

P(1) > 0

The goal to optimize is

$P(0,1)\log{P(0,1)} + P(1)\log{P(1)} - (P(1)+P(0,1))\log{((P(1)+P(0,1)))}$

I know nonlinear optimization could be hard, but is there quick technique dor solving this special kind of nonlinear optimization problem?