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 86 articles )
Showing results 61 to 80 of 86.
Sorted by year (- Fayek, Dalia; Kesidis, George; Vannelli, Anthony: Nonlinear game models for large-scale network bandwidth management (2006)
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- Ross, I. Michael; Fahroo, Fariba: Issues in the real-time computation of optimal control (2006)
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- Regis, Rommel G.; Shoemaker, Christine A.: Constrained global optimization of expensive black box functions using radial basis functions (2005)
- Banga, Julio R.; Moles, Carmen G.; Alonso, Antonio A.: Global optimization of bioprocesses using stochastic and hybrid methods (2004)
- Castillo, Ignacio; Peters, Brett A.: Integrating design and production planning considerations in multi-bay manufacturing facility layout (2004)
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- Santos-Palomo, Ángel: The sagitta method for solving linear programs (2004)
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- Chen, Zhen; Dunson, David B.: Random effects selection in linear mixed models (2003)
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- Ma, N.-Y.; King, R. P.: The (n)-fold convolution of generalized exponential-sum distribution functions (2003)
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- Hellström, Thomas; Holmström, Kenneth: Global optimization of costly non-convex functions with financial applications (2001)
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