FSQP

 


Nonlinear Equality Constraints

The basic FSQP algorithm was designed for nonlinear inequality constraints only. To handle nonlinear equality constraints, FSQP incorporates a modification of a scheme due to Mayne & Polak. Equality constraints

 

are turned into inequality constraints

 

The algorithm generates iterates that are feasible for the new inequalities Negative values are penalized, i.e. the objective function is replaced with

 

where

 

are positive penalty parameters (iteratively increased, but bounded).

The result is a differentiable exact penalty function.

 

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Last modified: February 21, 2005