Computed Tomography: Algorithms, Insight, and Just Enough Theory (Fundamentals

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eBay item number:204853792989
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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
ISBN
9781611976663
Category

About this product

Product Identifiers

Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
1611976669
ISBN-13
9781611976663
eBay Product ID (ePID)
28050403751

Product Key Features

Number of Pages
337 Pages
Language
English
Publication Name
Computed Tomography : Algorithms, Insight, and Just Enough Theory
Subject
General
Publication Year
2021
Type
Textbook
Subject Area
Mathematics
Author
K. Joost Batenburg, Martin S. Andersen
Series
Fundamentals of Algorithms Ser.
Format
Trade Paperback

Dimensions

Item Height
1 in
Item Weight
27.4 Oz
Item Length
10.2 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2021-012309
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
616.07/5722
Synopsis
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.
LC Classification Number
QA639.5.C64 2021

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