Lefloch philippe g (76 Ergebnisse)

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24 x 17 cm, paperback, x, 294 pages. text in English, fine condition, see picture. Published in the series 'Lectures in Mathematics ETH Zürich'. 598g.

X/294 S./pp., Originalbroschur (publisher's paper covers), Bibliotheksexemplar in sehr gutem Zustand / exlibrary in excellent condition (Stempel auf Titel / title stamped, Rückenschildchen / lettering pannel to the spine, Block sehr gut / contents clean, keine Unterstreichungen oder Anstreichungen / no underlining or remarks, in Folie eingeschlagen / wrapped up in foil), Sprache: englisch. …

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Zustand: New. Examines the well-posedness theory for nonlinear hyperbolic systems of conservation laws, completed by the author together with his collaborators. It covers the existence and continuous dependence of classical entropy solutions. It introduces the reader to the developing theory of nonclassical (undercompressive) entropy solutions. Series: Lectures in Mathematics. ETH Zurich. Num Pages: 294 pages, biography. BIC Classification: PBKJ; PHDS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 170 x 16. Weight in Grams: 494. . 2002. 2002nd Edition. paperback. . . . .…

Paperback. Zustand: Brand New. 170 pages. 7.09x0.39x10.00 inches. In Stock.

Paperback. Zustand: new. Paperback. This monograph develops a unified, application-driven framework for kernel methods grounded in reproducing kernel Hilbert spaces and optimal transport. The primary goal is to tackle industrial cases from computational physics and mathematical finance and discuss applications across various areas, such as statistics, or artificial intelligence (physics-informed systems, reinforcement learning, machine learning, generative methods, etc.).Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics is divided into two parts, theoretical principles and the techniques employed in their applications; contains numerous applications in engineering, finance, and machine learning; and provides a framework for designing numerically efficient, large-scale dataset strategies. Explore advanced kernel methods grounded in reproducing kernel Hilbert spaces and optimal transport. Driven by industrial applications, this work connects computational physics, mathematical finance, and diverse AI fields. It unites theory with efficient techniques for large-scale data strategies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Zustand: New. This monograph develops a unified, application-driven framework for kernel methods grounded in reproducing kernel Hilbert spaces and optimal transport. The primary goal is to tackle industrial cases from computational physics and mathematical finance and discuss applications across various areas, such as statistics, or artificial intelligence (physics-informed systems, reinforcement learning, machine learning, generative methods, etc.).Reproducing Kernel Methods for Machine Learning, PDEs, and Statistics is divided into two parts, theoretical principles and the techniques employed in their applications; contains numerous applications in engineering, finance, and machine learning; and provides a framework for designing numerically efficient, large-scale dataset strategies.…

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Zustand: New. pp. 308.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: Brand New. 1st edition. 294 pages. 9.25x6.50x0.50 inches. In Stock.

Zustand: New. Examines the well-posedness theory for nonlinear hyperbolic systems of conservation laws, completed by the author together with his collaborators. It covers the existence and continuous dependence of classical entropy solutions. It introduces the reader to the developing theory of nonclassical (undercompressive) entropy solutions. Series: Lectures in Mathematics. ETH Zurich. Num Pages: 294 pages, biography. BIC Classification: PBKJ; PHDS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 170 x 16. Weight in Grams: 494. . 2002. 2002nd Edition. paperback. . . . . Books ship from the US and Ireland.…

Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This set of lecture notes was written for a Nachdiplom-Vorlesungen course given at the Forschungsinstitut fUr Mathematik (FIM), ETH Zurich, during the Fall Semester 2000. I would like to thank the faculty of the Mathematics Department, and especially Rolf Jeltsch and Michael Struwe, for giving me such a great opportunity to deliver the lectures in a very stimulating environment. Part of this material was also taught earlier as an advanced graduate course at the Ecole Poly technique (Palaiseau) during the years 1995-99, at the Instituto Superior Tecnico (Lisbon) in the Spring 1998, and at the University of Wisconsin (Madison) in the Fall 1998. This project started in the Summer 1995 when I gave a series of lectures at the Tata Institute of Fundamental Research (Bangalore). One main objective in this course is to provide a self-contained presentation of the well-posedness theory for nonlinear hyperbolic systems of first-order partial differential equations in divergence form, also called hyperbolic systems of con servation laws. Such equations arise in many areas of continuum physics when fundamental balance laws are formulated (for the mass, momentum, total energy . . . of a fluid or solid material) and small-scale mechanisms can be neglected (which are induced by viscosity, capillarity, heat conduction, Hall effect . . . ). Solutions to hyper bolic conservation laws exhibit singularities (shock waves), which appear in finite time even from smooth initial data.…