25 research outputs found

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    The structure and function of complex networks

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    Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.Comment: Review article, 58 pages, 16 figures, 3 tables, 429 references, published in SIAM Review (2003

    Theory of computational complexity

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    A superlinearly convergent method to linearly constrained optimization problems under degeneracy

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    A family of gradient projection methods

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    Theory of computational complexity

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    xiii, 491 p. : ill. ; 24 cm

    Foreword

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    On the complexity of an optimal routing tree problem

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