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Optimization with Linear Inequality Constraints

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Is there an algo in mathdotnet Numerics that I could use to minimize a convex function of n variables f(x) with m linear inequality constraints of the type Ax<b (with A mxn matrix and b m-dim vector).
I do see one for x bounded in a box (lower and upper bounds on each x_i), but cannot see any for the more general case I am looking at.

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