Titlebook: Deterministic Global Optimization; Theory, Methods and Christodoulos A. Floudas Book 2000 Springer Science+Business Media Dordrecht 2000 A

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某人

The GOP Primal — Relaxed Dual Decomposition Approach : Theory decomposition first developed by Benders (1962) for mixed integer linear programming, and later extended by Geoffrion (1972) for nonlinear programming. The decomposition and duality principles are presented in detail in Floudas (1995). In section 3.1, the problem is stated and the classes of mathem

consolidate

The GOP Approach : Implementation and Computational Studiessynthesis, pooling and blending, separation networks, as well as concave and indefinite quadratic problems studied by Visweswaran and Floudas (1996b), (1990), (1993). Section 4.1 discusses the various aspects involved in the implementation, including reduction tests and local enhancements at each no

泰然自若

The GOP Approach in Bilevel Linear and Quadratic Problemsms as developed by Visweswaran .. (1996). In section 5.1, the reader is briefly introduced to the bilevel programming literature work. In section 5.2, the bilevel linear problem is formulated followed by the theoretical analysis based on the principles of the GOP algorithm. Section 5.3 presents the

含糊其辭

The GOP Approach in Phase and Chemical Equilibrium Problems McDonald and Floudas (1994), (1995a), and (1995b). Two main classes of phase and chemical equilibrium problems are addressed: (a) the minimization of the Gibbs free energy and (b) the tangent plane stability criterion. Section 6.1 presents the formulation of minimization of the Gibbs free energy pr

含糊其辭

The GOP Approach : Distributed Implementationg results for indefinite quadratic programming problems and for large-scale pooling problems that arise in chemical refineries. Section 7.1 focuses on the critical components of the distributed implementation of the GOP approach. Section 7.2 presents the computational results for large-scale indefin

鎮(zhèn)痛劑

Generalized Geometric Programming : Theoryhis material is based on the work of Maranas and Floudas (1997). Section 8.1 provides an introduction to generalized geometric programming. Section 8.2 focuses on the theoretical analysis for the development of a global optimization approach. Section 8.3 presents the global optimization algorithm an

Pessary

Generalized Geometric Programming : Computational Studiesn Chapter 8. A number of engineering design problems are addressed for which convergence to an ∈-global minimum is guaranteed. A framework for checking the stability of given control strategies is presented which requires the solution of . problems, and a number of stability analysis examples are co

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