TOMLAB
TOMLAB is a general purpose development and modeling environment in Matlab for research, teaching and practical solution of optimization problems. The TOMLAB optimization environment is flexible, easy-to-use, robust and reliable for the solution of all types of applied optimization problems. TOMLAB has grown out of a need for advanced, robust and reliable tools to be used in the development of algorithms and software for the solution of applied optimization problems. TOMLAB supplies Matlab solver algorithms, as well as well-known state-of-the-art optimization software packages in the areas that TOMLAB covers. The external solvers are distributed as compiled binary MEX DLLs on PC-systems, and compiled MEX library files on Unix and other systems. All TOMLAB packages include a license for the solver.
Keywords for this software
References in zbMATH (referenced in 61 articles )
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- Ma, Ding; Saunders, Michael A.: Solving multiscale linear programs using the simplex method in quadruple precision (2015)
- Conde, Eduardo: A MIP formulation for the minmax regret total completion time in scheduling with unrelated parallel machines (2014)
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- Jia, Gaofeng; Taflanidis, Alexandros A.: Kriging metamodeling for approximation of high-dimensional wave and surge responses in real-time storm/hurricane risk assessment (2013)
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- Taflanidis, Alexandros A.: Stochastic subset optimization incorporating moving least squares response surface methodologies for stochastic sampling (2012)
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- Pee, E.Y.; Royset, J.O.: On solving large-scale finite minimax problems using exponential smoothing (2011)