Lamatto++ A Framework for Modeling and Solving Mixed-Integer Nonlinear Programming Problems on Networks. Lamatto++ is a framework to model mixed-integer nonlinear programming problems especially on (but not limited to) networks. Lamatto++ is completely written in C++ and has interfaces to CPLEX, GUROBI, SCIP and GAMS, where the latter provides access to a large collection of solvers for roughly all kinds of mathematical programming problems. Lamatto++ major features are a unified modeling API and a single interface to all the above mentioned solvers. Lamatto++ comes with extendable data structures to handle graphs and networks and provides automatic unit conversion for physical values. For data I/O and data exchange with third party software, Lamatto++ makes use of the XML parsing library Xerces.

References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Burlacu, Robert; Geißler, Björn; Schewe, Lars: Solving mixed-integer nonlinear programmes using adaptively refined mixed-integer linear programmes (2020)
  2. Burlacu, Robert; Egger, Herbert; Groß, Martin; Martin, Alexander; Pfetsch, Marc E.; Schewe, Lars; Sirvent, Mathias; Skutella, Martin: Maximizing the storage capacity of gas networks: a global MINLP approach (2019)
  3. Hante, Falk M.; Schmidt, Martin: Complementarity-based nonlinear programming techniques for optimal mixing in gas networks (2019)
  4. Schmidt, Martin; Sirvent, Mathias; Wollner, Winnifried: A decomposition method for MINLPs with Lipschitz continuous nonlinearities (2019)
  5. Gugat, Martin; Leugering, Günter; Martin, Alexander; Schmidt, Martin; Sirvent, Mathias; Wintergerst, David: MIP-based instantaneous control of mixed-integer PDE-constrained gas transport problems (2018)
  6. Hiller, Benjamin; Koch, Thorsten; Schewe, Lars; Schwarz, Robert; Schweiger, Jonas: A system to evaluate gas network capacities: concepts and implementation (2018)
  7. Schweiger, Jonas: Exploiting structure in non-convex quadratic optimization and gas network planning under uncertainty (2018)
  8. Humpola, Jesco; Fügenschuh, Armin; Koch, Thorsten: Valid inequalities for the topology optimization problem in gas network design (2016)
  9. Rose, Daniel; Schmidt, Martin; Steinbach, Marc C.; Willert, Bernhard M.: Computational optimization of gas compressor stations: MINLP models versus continuous reformulations (2016)
  10. Schmidt, Martin; Steinbach, Marc C.; Willert, Bernhard M.: High detail stationary optimization models for gas networks: validation and results (2016)
  11. Schweiger, Jonas: Gas network extension planning for multiple demand scenarios (2016)