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Index « Titre (en) » - entrée « concave »
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List of bibliographic references

Number of relevant bibliographic references: 12.
Ident.Authors (with country if any)Title
001027 (1996) Michael Nast [Allemagne]Subdivision of simplices relative to a cutting plane and finite concave minimization
001049 (1996) R. Horst [Allemagne] ; M. Nast [Allemagne]Linearly constrained global minimization of functions with concave minorants
001247 (1994) Nguyen V. Thoai [Allemagne]On the construction of test problems for concave minimization algorithms
001266 (1994) R. Horst [Allemagne] ; L. D. Muu [Viêt Nam] ; M. Nast [Allemagne]Branch-and-bound decomposition approach for solving quasiconvex-concave programs
001408 (1992) Faiz A. Al-Khayyal [États-Unis] ; Reiner Horst [Allemagne] ; Panos M. Pardalos [États-Unis]Global optimization of concave functions subject to quadratic constraints: An application in nonlinear bilevel programming
001414 (1992) R. Horst [Allemagne] ; N. V. Thoai [Viêt Nam]Conical algorithm for the global minimization of linearly constrained decomposable concave minimization problems
001486 (1991) Hoang Tuy [Viêt Nam]Normal conical algorithm for concave minimization over polytopes
001498 (1991) Reiner Horst [Allemagne] ; Nguyen V. Thoai [Viêt Nam] ; Harold P. Benson [États-Unis]Concave minimization via conical partitions and polyhedral outer approximation
001610 (1989) R. Horst [Allemagne] ; N. V. Thoai [Viêt Nam]Modification, implementation and comparison of three algorithms for globally solving linearly constrained concave minimization problems
001653 (1988) R. Horst [Allemagne]Deterministic global optimization with partition sets whose feasibility is not known: Application to concave minimization, reverse convex constraints, DC-programming, and Lipschitzian optimization
001654 (1988) Hoang Tuy [Viêt Nam] ; Reiner Horst [Allemagne]Convergence and restart in branch-and-bound algorithms for global optimization. Application to concave minimization and D.C. Optimization problems
001740 (1986) R. Horst [Allemagne]A general class of branch-and-bound methods in global optimization with some new approaches for concave minimization

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