Quadratic Programming
Defined in 3 lectures. Each definition is in that lecture's terms.
Definitions are written by AI from each lecture’s transcript. The time opens the lecture where the lecturer explains it.
- An optimization framework where error or cost can be written as a quadratic cost function subject to inequality constraints.13:53Optimization: A Bootcamp for Machine Learning, Inverse Problems, and ControlSteve Brunton · University of Washington
- An optimization problem featuring a quadratic cost function and linear inequality constraints, which is convex when the matrix Q is positive semidefinite.
- An optimization problem where the objective function is quadratic and subject to linear inequality constraints.