[ojAlgo-user] Quadratically Constrained Quadratic Optimization?

[Keun L. <lee...@gm...>]

Hello,

I recently discovered your package and it seems like it is a perfect
fit for what I am trying to do, which is implement a program that will
output tolerancing data using data points.

The optimization problem in question has quadratic inequality
constraints and there can be upwards of 1000 or so constraints
depending on the amount of data points.

Does ojalgo have the ability to take in these constraints and convert
them to a Lagrangian formula by relaxing the constraints and solve it?
I'm also a beginner at this and am having trouble finding the way to
do this, and am not sure what format the inputs have to be in. I
noticed a mention of an example in the archives but I'm assuming that
there's other code out there now that will allow me to study this
further.

Regards,
-- 
Keun Lee, BSME
Graduate Student, Industrial Engineering
University of Miami
Industrial Assessment Center
1251 Memorial Drive
Coral Gables, FL 33146

e-mail: lee...@gm...

Phone: (305) 284-2367