MCL

The MERLIN control language for strategic optimization MCL is the programming language of the MERLIN optimization environment. It can be used for the implementation of efficient optimization strategies, abolishing to a great extend the need for user intervention. The language is simple to learn and its structure is similar to Fortran. We report on successful applications where MCL played an instrumental role, as for example in molecular physics problems and in the training of neural networks.

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References in zbMATH (referenced in 7 articles , 1 standard article )

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  1. Hoda I., S. A.: Comparative study of multigrid methods and neural network methods for boundary value problems with irregular boundaries (2010)
  2. Theos, F. V.; Lagaris, I. E.; Papageorgiou, D. G.: PANMIN: sequential and parallel global optimization procedures with a variety of options for the local search strategy (2004) ioport
  3. Gioutsos, Dimitris V.; Vayonakis, Costas E.: On nonstandard vacuua in minimal supergravity models (2003)
  4. Tsoulos, Ioannis G.; Lagaris, Isaac E.; Likas, Aristidis C.: Piecewise neural networks for function approximation, cast in a form suitable for parallel computation (2002)
  5. Likas, A.; Karras, D. A.; Lagaris, I. E.: Neural network training and simulation using a multidimensional optimization system (1998)
  6. Papageorgiou, D. G.; Demetropoulos, I. N.; Lagaris, I. E.: MERLIN-3. 0. A multidimensional optimization environment (1998)
  7. Papageorgiou, D. G.; Demetropoulos, I. N.; Lagaris, I. E.: The MERLIN control language for strategic optimization (1998)