9,688 research outputs found

    Contribution of thermal noise to the line width of Josephson radiation from superconducting point contacts

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    Contribution of thermal noise to line width of Josephson radiation from superconducting point contact

    Research and education in management of large- scale technical programs Semiannual progress report

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    Research and education in management of large scale technical programs - education and integration of interdisciplinary tea

    Combine harvester investigations

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    Quasiparticle dispersion of the t-J and Hubbard models

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    The spectral weight A(p,ω){\rm A({\bf p},\omega)} of the two dimensional t−J{\rm t-J} and Hubbard models has been calculated using exact diagonalization and quantum Monte Carlo techniques, at several densities 1.0≤⟨n⟩≤0.5{\rm 1.0 \leq \langle n \rangle \leq 0.5}. The photoemission (ω<0)(\omega < 0) region contains two dominant distinct features, namely a low-energy quasiparticle peak with bandwidth of order J, and a broad valence band peak at energies of order t. This behavior persistspersists away from half-filling, as long as the antiferromagnetic (AF) correlations are robust. The results give support to theories of the copper oxide materials based on the behavior of holes in antiferromagnets, and it also provides theoretical guidance for the interpretation of experimental photoemission data for the cuprates.Comment: (minor changes) RevTeX, 4 figures available on reques

    An extended mixed-integer programming formulation and dynamic cut generation approach for the stochastic lot sizing problem

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    We present an extended mixed-integer programming formulation of the stochastic lot-sizing problem for the static-dynamic uncertainty strategy. The proposed formulation is significantly more time efficient as compared to existing formulations in the literature and it can handle variants of the stochastic lot-sizing problem characterized by penalty costs and service level constraints, as well as backorders and lost sales. Also, besides being capable of working with a predefined piecewise linear approximation of the cost function-as is the case in earlier formulations-it has the functionality of finding an optimal cost solution with an arbitrary level of precision by means of a novel dynamic cut generation approach
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