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Optimization & Numerical Analysis seminars. The Infinity Computer and numerical computations with infinities and in infinitesimals. – Yaroslav D. Sergeyev – Università della Calabria and N.I. Lobachevsky University of Nizhni Novgorod, Russia (Il Seminario si svolgerà nella Sala Seminari Ovest, Dipartimento Informatica, Università di Pisa.)

The lecture presents a recent methodology allowing one to execute numerical computations with finite, infinite, and infinitesimal numbers on a new type of a computer – the Infinity Computer – patented in EU, USA, and Russia (see [23]). The new…

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Optimization & Numerical Analysis seminars. Lipschitz global optimization – Yaroslav D. Sergeyev – Università della Calabria and N.I. Lobachevsky University of Nizhni Novgorod, Russia (Il Seminario si svolgerà nella Sala Seminari Ovest, Dipartimento Informatica.)

Global optimization is a thriving branch of applied mathematics and an extensive literature is dedicated to it (see e.g., [1–24]). In this lecture, the global optimization problem of a multidimensional function satisfying the Lipschitz condition…

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Optimization & Numerical Analysis seminars. A framework for structured linearizations of matrix polynomials in various bases. – Raf Vandebril – KU Leuven (Il Seminario si svolgerà nella Sala Seminari Ovest, Dipartimento Informatica, Università di Pisa.)

We present a framework for the construction of linearizations for scalar and matrix polynomials based on dual bases which, in the case of orthogonal polynomials, can be described by the associated recurrence relations. The framework provides an…

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A partial Gamma-convergence result for a family of functionals depending on curvatures – Luca Lussardi (Università Cattolica, Brescia)

Biomembranes are remarkable structures with both fluid-like and solid-like properties: the main constituents are amphiphilic lipids, which have a head part that attracts water and a tail part that repels it. Because of these properties, such lipids…

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Optimization & Numerical Analysis seminars. Minimization algorithms for compressive sensing. – Andrea Masciotta – Dipartimento di Matematica Università di Pisa (Il Seminario si svolgerà nella Sala Seminari Ovest, Dipartimento Informatica.)

Compressive sensing is a new approach to digital signals acquisition and processing. Its main aim is the reconstruction of sparse signals or images (i.e. with few significant coefficients) from what was previously believed to be incomplete…

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