9781774077078 - numerical methods for inverse problems (7 resultados)

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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de AmericaRomtrade Corp.
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Hardcover. Condición: new. Hardcover. The book Numerical Methods for Inverse Problems consists of contemporaneouss articles featuring not only several well-known inverse problems used in the inference of many physical and engineering systems such as that of the partial differential equations but also the statistical and imaging…inverse problems. It includes a variety of numerical methods for solving inverse problems such as that of the Tikhonov regularization; finite differences; and orthogonal decomposition; as well as those based on Bayesian inference, artificial neural networks, and quantum annealing. Presents contempory articles featuring well-known inverse problems used in the inference of many physical and engineering systems, such as that of the partial differential equations, plus statistical and imaging inverse problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 299,02
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Hardcover. Condición: new. Hardcover. The book Numerical Methods for Inverse Problems consists of contemporaneouss articles featuring not only several well-known inverse problems used in the inference of many physical and engineering systems such as that of the partial differential equations but also the statistical and imaging…inverse problems. It includes a variety of numerical methods for solving inverse problems such as that of the Tikhonov regularization; finite differences; and orthogonal decomposition; as well as those based on Bayesian inference, artificial neural networks, and quantum annealing. Presents contempory articles featuring well-known inverse problems used in the inference of many physical and engineering systems, such as that of the partial differential equations, plus statistical and imaging inverse problems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.