The LFOPC leap-frog algorithm for constrained optimization
Author:
Publisher
Elsevier BV
Subject
Computational Mathematics,Computational Theory and Mathematics,Modelling and Simulation
Reference18 articles.
1. A new and dynamic method for unconstrained minimization;Snyman;Appl. Math. Modelling,1982
2. An improved version of the original leap-frog dynamic method for unconstrained minimization LFOP1(b);Snyman;Appl. Math. Modelling,1983
3. A dynamic penalty function method for the solution of structural optimization problems;Snyman;Appl. Math. Modelling,1994
4. Leap-frog is a robust algorithm for training neural networks;Holm;Network: Computation in Neural Systems,1999
5. Penalty function solutions to optimal control problems with general constraints via a dynamic optimisation method;Snyman;Computers Math. Applic.,1992
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