1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2017
A Method to Guarantee Local Convergence for Sequential Quadratic Programming with Poor Hessian Approximation
Tuan T. Nguyen, Mircea Lazar, Hans Butler
Sequential Quadratic Programming (SQP) is a powerful class of algorithms for solving nonlinear optimization problems. Local convergence of SQP algorithms is guaranteed when the Hes…
math.OC2016★ 1 cited
An Algorithm for Solving Quadratic Optimization Problems with Nonlinear Equality Constraints
Tuan T. Nguyen, Mircea Lazar, Hans Butler
The classical method to solve a quadratic optimization problem with nonlinear equality constraints is to solve the Karush-Kuhn-Tucker (KKT) optimality conditions using Newton's met…