13,381 research outputs found

    A revision of the striatella species group of the genus Rhagoletis (Diptera: Tephritidae)

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    A taxonomic revision of species of the striatella group, including descriptions ofthree new species from Mexico, Nicaragua and Costa Rica is presented. To date we recognize 6 species in this group: Rhagoletis striatella, R. jamaicensis, R. macquartii, R. triangularis n. sp., R. nicaraguensis n. sp., and R. solanophaga n. sp. Information and records about their distribution, known host plants, and morphological relationships among the species are discussed. A key to the species within the group is presented.Se presenta una revision taxonomic a de las especies del grupo striatella, la cual incluye descripciones de tres nuevas especies provenientes de Mexico, Nicaragua y Costa Rica. Ala fecha reconocemos 6 especies en este grupo: Rhagoletis striatella, R. jamaicensis, R. macquartii, R. triangularis n. sp., R. nicaraguensis n. sp., and R. solanophaga n. sp .. Se discute informacion sobre su distribucion, plantas hospederas conocidas, y las relaciones morfologicas entre sus especies. Ademas se presenta una clave para separar todas las especies del grupo

    Magnetically Induced Metallic Phase in Superconducting Tantalum Films

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    We have studied the electronic transport properties of homogeneously disordered superconducting tantalum thin films in magnetic fields. The films exhibit three distinct transport regimes in the zero temperature limit which we identify as superconducting, metallic, and insulating phases. The metallic phase is unexpected. The transport characteristics of this metallic phase are found to be similar to those of MoGe films and high mobility dilute two-dimensional electrons or holes confined in semiconductor interface or transistor geometry.Comment: four pages, four figure

    Automorphisms of moduli spaces of symplectic bundle

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    Let X be an irreducible smooth complex projective curve of genus at least 3. Fix a line bundle L on X. Let M_{Sp}(L) be the moduli space of symplectic bundles (E, ExE ---> L) on X, with the symplectic form taking values in L. We show that the automorphism group of M_{Sp}(L) is generated by automorphisms sending E to ExM, where M is a 2-torsion line bundle, and automorphisms induced by automorphisms of X.Comment: 21 page

    Local Convergence of the Affine-Scaling Interior-Point Algorithm for Nonlinear Programming

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    This paper addresses the local convergence properties of the affine-scaling interior-point algorithm for nonlinear programming. The analysis of local convergence is developed in terms of parameters that control the interior-point scheme and the size of the residual of the linear system that provides the step direction. The analysis follows the classical theory for quasi-Newton methods and addresses q-linear, q-superlinear, and q-quadratic rates of convergence

    Implicitly and densely discrete black-box optimization problems

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    This paper addresses derivative-free optimization problems where the variables lie implicitly in an unknown discrete closed set. The evaluation of the objective function follows a projection onto the discrete set, which is assumed dense rather than sparse. Such a mathematical setting is a rough representation of what is common in many real-life applications where, despite the continuous nature of the underlying models, a number of practical issues dictate rounding of values or projection to nearby feasible figures. We discuss a definition of minimization for these implicitly discrete problems and outline a direct search algorithm framework for its solution. The main asymptotic properties of the algorithm are analyzed and numerically illustrated.FCT POCI/MAT/59442/2004, PTDC/MAT/64838/200

    Implicitly and densely discrete black-box optimization problems

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    This paper addresses derivative-free optimization problems where the variables lie implicitly in an unknown discrete closed set. The evaluation of the objective function follows a projection onto the discrete set, which is assumed dense rather than sparse. Such a mathematical setting is a rough representation of what is common in many real-life applications where, despite the continuous nature of the underlying models, a number of practical issues dictate rounding of values or projection to nearby feasible figures. We discuss a definition of minimization for these implicitly discrete problems and outline a direct search algorithm framework for its solution. The main asymptotic properties of the algorithm are analyzed and numerically illustrated.FCT POCI/MAT/59442/2004, PTDC/MAT/64838/200
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