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{ "item_title" : "Numerical Methods for Inverse Problems", "item_author" : [" Michel Kern "], "item_description" : "This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to indirectly estimate the parameters of a physical system. The author uses practical examples to illustrate inverse problems in physical sciences. He presents the techniques and specific methods chosen to solve inverse problems in a general domain of application, choosing to focus on a small number of methods that can be used in most applications. This book is aimed at readers with a mathematical and scientific computing background. Despite this, it is a book with a practical perspective. The methods described are applicable, have been applied, and are often illustrated by numerical examples.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/84/821/818/1848218184_b.jpg", "price_data" : { "retail_price" : "177.95", "online_price" : "177.95", "our_price" : "177.95", "club_price" : "177.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Numerical Methods for Inverse Problems|Michel Kern

Numerical Methods for Inverse Problems

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Overview

This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be determined or when one seeks to indirectly estimate the parameters of a physical system.

The author uses practical examples to illustrate inverse problems in physical sciences. He presents the techniques and specific methods chosen to solve inverse problems in a general domain of application, choosing to focus on a small number of methods that can be used in most applications.

This book is aimed at readers with a mathematical and scientific computing background. Despite this, it is a book with a practical perspective. The methods described are applicable, have been applied, and are often illustrated by numerical examples.

This item is Non-Returnable

Details

  • ISBN-13: 9781848218185
  • ISBN-10: 1848218184
  • Publisher: Wiley-Iste
  • Publish Date: June 2016
  • Dimensions: 9.21 x 6.14 x 0.56 inches
  • Shipping Weight: 1.11 pounds
  • Page Count: 240

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