Quadratic programming (QP) is the problem of optimizing a quadratic objective function and is one of the simplests form of non-linear programming. The objective function can contain bilinear or up to second order polynomial terms, and the constraints are linear and can be both equalities and inequalities. QP is widely used in image and signal processing, to optimize financial portfolios, to perform the leastsquares method of regression, to control scheduling in chemical plants, and in sequential quadratic programming

Last modified

• 11/30/2018

Creator

• Jack Heider

DOI

• https://doi.org/10.21985/N29N17

Keyword

• Quadratic Programming

Rights statement

• In Copyright