USER’S GUIDE FOR TOMLAB /LGO

时间:2017-01-16 08:26:40
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文件名称:USER’S GUIDE FOR TOMLAB /LGO
文件大小:174KB
文件格式:PDF
更新时间:2017-01-16 08:26:40
TOMLAB LGO Welcome to the TOMLAB LGO User’s Guide TOMLAB LGO includes the LGO solver from Pint′er Consulting Services and an interface to MATLAB by MathWorks’ The Lipschitz Continuous Global Optimizer LGO solver suite serves for the analysis and global solution of general nonlinear programming NLP models The LGO solver system has been developed and gradually extended for more than a decade and it now incorporates a suite of robust and efficient global and local nonlinear solvers It can also handle smaller LP models LGO is documented elsewhere in detail: see for example Pint′er 1996 2001 2003 [1 2 3] TOMLAB LGO integrates the following global scope algorithms: Branch and bound adaptive partition and sampling based global search BB Adaptive global random search GARS Adaptive multistart global random search MS LGO also includes the following local solver strategies: Constrained local search based on a generalized reduced gradient approach GRG The overall solution approach followed by TOMLAB LGO is based on the seamless combination of the global and local search strategies This allows for a broad range of operations In particular a solver suite approach supports the flexible usage of the component solvers: one can execute fully automatic global and or local search based optimization and can design customized interactive runs TOMLAB LGO does not rely on any sub solvers and it does not require any in depth structural information about the model It is particularly suited to solve even ’black box’ closed confidential or other complex models in which the available analytical information may be limited TOMLAB LGO needs only computable function values without a need for higher order analytical information TOMLAB LGO can even solve models having constraints involving continuous but non differentiable functions Thus within TOMLAB LGO is well suited to solve nonlinear global and convex optimization models TOMLAB LGO can also be used in conjunction with other TOMLAB solvers Local solvers when available can be used to verify the solution found by LGO and to provide additional local information ">Welcome to the TOMLAB LGO User’s Guide TOMLAB LGO includes the LGO solver from Pint′er Consulting Services and an interface to MATLAB by MathWorks’ The Lipschitz Continuous Global Optimizer LGO solver suite serves for the analysis and global solution of general nonlinear programming NLP [更多]

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