Parametric Optimization and Approximation

Por: Colaborador(es): Detalles de publicación: Germany : 1985Descripción: 263 páginasISBN:
  • fcnm2247
Clasificación CDD:
  • 519.3I/B84
Contenidos:
1.A Ritz method for the numerical solution of a class of state constrained control approximation problems. 2.Best simultaneous approximation (Chebyshev centers). 3.Characterization of strong unicity in semi-infinite optimization by chain of references. 4.Application of parametric programming to the optimal design of stiffened plates. 5.Best approximation by smooth functions and related problems. 6.On parametric infinite optimization. 7.Rate of convergence of the method of alternating projections. 8.Singular perturbation in linear differential inclusions- critical case. 9.Sensitivity analysis in generalized rational approximation with restricted denominator. 10.The historic development of parametric programming. 11.Optimization problems on extremal algebras: necessary and sufficient conditions for optimal points. 12.On the local structure of the feasible set in semi-infinite optimization. 13.Most of the optimization problems have unique solution. 14.A generalization of the notion of convexity on the basis of certain optimization problems. 15.Unicity selections in Chebyshev approximation.
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Libro Biblioteca Especializada FCNM Tercer Piso 519.3I/B84 (Navegar estantería(Abre debajo)) Disponible Externo FCNM3608

1.A Ritz method for the numerical solution of a class of state constrained control approximation problems. 2.Best simultaneous approximation (Chebyshev centers). 3.Characterization of strong unicity in semi-infinite optimization by chain of references. 4.Application of parametric programming to the optimal design of stiffened plates. 5.Best approximation by smooth functions and related problems. 6.On parametric infinite optimization. 7.Rate of convergence of the method of alternating projections. 8.Singular perturbation in linear differential inclusions- critical case. 9.Sensitivity analysis in generalized rational approximation with restricted denominator. 10.The historic development of parametric programming. 11.Optimization problems on extremal algebras: necessary and sufficient conditions for optimal points. 12.On the local structure of the feasible set in semi-infinite optimization. 13.Most of the optimization problems have unique solution. 14.A generalization of the notion of convexity on the basis of certain optimization problems. 15.Unicity selections in Chebyshev approximation.

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