Numerical Methods Inverse Problems by Olga Moreira (7 results)

- Hardcover
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.Romtrade Corp.
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£ 84.94
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

- Hardcover
Seller: Basi6 International, Irving, TX, U.S.A.Basi6 International
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- Hardcover
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
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- Hardcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condition: 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.

- Hardcover
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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£ 256.12
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Hardcover. Condition: 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.