QuadraticOptimization

QuadraticOptimization[f,cons,vars] finds values of variables vars that minimize the quadratic objective f subject to linear constraints cons.

QuadraticOptimization[{q,c},{a,b}] finds a vector x that minimizes the quadratic objective 1/2x.q.x+c.x subject to the linear inequality constraints a.x+b⪰0. 

QuadraticOptimization[{q,c},{a,b},{aeq,beq}] includes the linear equality constraints aeq.x+beq0.

QuadraticOptimization[{q,c},…,{dom1,dom2,…}] takes xi to be in the domain domi, where domi is Integers or Reals.

QuadraticOptimization[…,"prop"] specifies what solution property "prop" should be returned. 

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