null
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Per Christian Hansen is Professor of Scientific Computing at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. He is a 2015 SIAM Fellow and a 2019 Villum Investigator. He currently heads a research initiative on computational uncertainty quantification for inverse problems.
Jakob Sauer Jørgensen is a Senior Researcher at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). He became a Presidential Fellow (academic tenure track) at the University of Manchester in 2018, before returning to DTU in 2020 in a permanent research-track academic position.
William R. B. Lionheart is a Professor of Applied Mathematics at the University of Manchester. He works on analytical, numerical, and practical aspects of a wide range of imaging and inverse problems. His current work includes X-ray, electron and neutron tomography, increasingly rich tomography methods involving spectral, diffraction or polarimetric data to produce non-scalar 3D images.
Martin S. Andersen has held a postdoctoral position in the Division of Automatic Control at Linköping University, Sweden, and at the Technical University of Denmark, where he is currently an Associate Professor in the Department of Applied Mathematics and Computer Science. His main research interests include optimization, signal and image processing, and systems and control.
K. Joost Batenburg is Professor of Imaging and Visualization at the Leiden Institute of Advanced Computer Science (LIACS) and leads the Computational Imaging group at CWI, the national research center for mathematics and computer science in Amsterdam, The Netherlands. His current research focuses on creating a real-time tomography pipeline.
Yiqiu Dong is Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. Her research area includes mathematical modeling and algorithms in imaging sciences, inverse problems and variational methods, matrix application and computation, and optimization methods.
Eric Todd Quinto is the Robinson Professor of Mathematics at Tufts University. When he started at Tufts, he met Nobel Prize winner Allan Cormack, who introduced Quinto to tomography. Quinto specializes in analyzing strengths and issues in limited data tomography―when some tomographic data are missing.
Jan Sijbers is a full professor at the University of Antwerp, where he leads imec-Vision Lab, a research group on image reconstruction, processing and analysis. His main interests are in Magnetic Resonance Imaging and X-ray CT.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. 2021. paperback. . . . . . N° de réf. du vendeur KAC0005073
Quantité disponible : 1 disponible(s)
Vendeur : Zubal-Books, Since 1961, Cleveland, OH, Etats-Unis
Etat : New. *Price HAS BEEN REDUCED by 10% until Tuesday, May 26 (SALE item)* 3374 pp., paperback, NEW!!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. N° de réf. du vendeur ZB1331853
Quantité disponible : 1 disponible(s)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. N° de réf. du vendeur 9S39UO0BXU
Quantité disponible : 6 disponible(s)
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. 2021. paperback. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur KAC0005073
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur FW-9781611976663
Quantité disponible : 6 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. In Computed Tomography: Algorithms, Insight, and Just Enough Theory, readers will learn about the fundamental computational methods used for image reconstruction in computed tomography (CT). Unique in its emphasis on the interplay of modeling, computing, and algorithm development, the book presents underlying mathematical models for motivating and deriving the basic principles of CT reconstruction methods, along with insight into their advantages, limitations, and computational aspects.Computed Tomography: Algorithms, Insight, and Just Enough Theory:Develops the mathematical and computational aspects of three main classes of reconstruction methods.Emphasizes the link between CT and numerical methods, which is rarely found in current literature.Describes the effects of incomplete data using both microlocal analysis and the singular value decomposition (SVD).Contains computer exercises using MATLAB that allow readers to experiment with the algorithms and make the book suitable for teaching and self-study.This book is aimed at students, researchers, and practitioners. As a textbook, it is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. Discusses the fundamental computational methods used for image reconstruction in computed tomography (CT). Unique in its emphasis on the interplay of modeling, computing, and algorithm development, the book presents underlying mathematical models for motivating and deriving the basic principles of CT reconstruction methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781611976663
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Paperback. Etat : New. In Computed Tomography: Algorithms, Insight, and Just Enough Theory, readers will learn about the fundamental computational methods used for image reconstruction in computed tomography (CT). Unique in its emphasis on the interplay of modeling, computing, and algorithm development, the book presents underlying mathematical models for motivating and deriving the basic principles of CT reconstruction methods, along with insight into their advantages, limitations, and computational aspects.Computed Tomography: Algorithms, Insight, and Just Enough Theory:Develops the mathematical and computational aspects of three main classes of reconstruction methods.Emphasizes the link between CT and numerical methods, which is rarely found in current literature.Describes the effects of incomplete data using both microlocal analysis and the singular value decomposition (SVD).Contains computer exercises using MATLAB that allow readers to experiment with the algorithms and make the book suitable for teaching and self-study.This book is aimed at students, researchers, and practitioners. As a textbook, it is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. N° de réf. du vendeur LU-9781611976663
Quantité disponible : 3 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback / Softback. Etat : Brand New. 277 pages. 10.08x6.97x0.87 inches. In Stock. N° de réf. du vendeur __1611976669
Quantité disponible : 2 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 401297283
Quantité disponible : 3 disponible(s)
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. N° de réf. du vendeur B9781611976663
Quantité disponible : 6 disponible(s)