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- variety of formats; facilities for generating optimized numerical programs from symbolic input; calculations with...
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- LINDO Systems - Optimization Software: Integer Programming, Linear Programming, Nonlinear Programming, Stochastic Programming, Global Optimization LINDO...
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- also solve much more complex convex optimization problems, including many involving nondifferentiable functions, such...
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- that typically do not have such geometry (optimization, circuit simulation, economic and financial modeling, theoretical...
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- systems systems of nonlinear equations (including unconstrained optimization) roots of univariate and multivariate nonlinear equations ... systems of nonlinear equations) Hessians (for global optimization) Taylor series for univariate functions automatic slopes...
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- MOSEK is a tool for solving mathematical optimization problems. Some examples of problems MOSEK ... strengths of the linear and conic optimizers in MOSEK, then MOSEK is currently employed widely ... industry due to its powerful interior-point optimizer...
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- Optimization Toolbox Product Description: Solve linear, quadratic, integer, and nonlinear optimization problems. Optimization Toolbox™ provides ... mixed-integer linear programming, quadratic programming, nonlinear optimization, and nonlinear least squares ... these solvers to find optimal solutions to continuous and discrete problems, perform tradeoff analyses ... incorporate optimization methods into algorithms and applications...
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- computational system for solving nonconvex optimization problems to global optimality. Purely continuous, purely integer ... with the software. The Branch And Reduce Optimization Navigator derives its name from its combining ... through the hills and valleys of complex optimization problems in search of global solutions...
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- solving systems of equations and global optimization problems. The connection between these two themes ... finding is an almost unavoidable part of optimization. The interval arithmetic philosophy of selfvalidation ... many software details. The chapter on global optimization (40 pages) only admits equality constraints (within ... pioneering concept of 1987 (Nonlinear equations and optimization. Preprint.). The chapter about non-differentiable problems...
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- Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed ... important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography ... polynomial data. Many important applications in e.g. optimization, probability, financial economics and optimal control ... whose associated monotone sequence of optimal values converges to the global optimum...
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- Fortran package for large-scale nonlinear optimization (Release A). LANCELOT is a software package ... solving large-scale nonlinear optimization problems. This book provides a coherent overview of the package ... standard input for problems and the LANCELOT optimization package. Although the book is primarily concerned ... with a specific optimization package, the issues discussed have much wider implications for the design...
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- simplest NP-hard problems in combinatorial optimization, as they maximize an objective function subject...
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- MINOS is a large-scale optimization system, for the solution of sparse linear and nonlinear...
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- optimization experts have developed, extensively tested and documented a wide range of routines to ensure ... results matter. Like all NAG software, the Optimization routines are highly flexible – callable from various...
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- solver. SCIP is part of the SCIP Optimization Suite, which also contains the LP solver...
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- Efficient Global Optimization (EGO) algorithm solves costly box-bounded global optimization problems with additional linear...
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- salesman problem (TSP) and some related network optimization problems. The code is written ... solver has been used to obtain the optimal solutions to 106 of the 110 TSPLIB...
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- Fortran subroutines for large-scale bound-constrained optimization L-BFGS-B is a limited-memory ... algorithm for solving large nonlinear optimization problems subject to simple bounds on the variables...
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- powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Swarm intelligence ... Artificial Bee Colony (ABC) Algorithm is an optimization algorithm based on the intelligent behaviour ... this work, ABC algorithm is used for optimizing multivariable functions and the results produced...
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- Constrained, Second Order Cone, Stochastic, and Integer optimization models faster, easier and more efficient. LINGO ... that includes a powerful language for expressing optimization models, a full featured environment for building...