Keeping Optimization Tight to Parameters
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I'm not sure what is the best route to take. I'm trying to keep my optimization solution close my inequality values but on a few of them it's off because inequalities are set to be greater then. When I change my inequalities to equalities (A and b to Aeq and beq) I'm getting an error:
Exiting: One or more of the residuals, duality gap, or total relative error has grown 100000 times greater than its minimum value so far: the primal appears to be infeasible (and the dual unbounded). (The dual residual < TolFun=1.00e-008.)
Is there a way to tell matlab to hold b's within tolerance. it doesn't seem like lb and ub will do the job. Should I subtract b's and equate it to zero and then ub and lb the subtracted value
Need a hint in the right direction. Thank You
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2015-2-26
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2021-8-20
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