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Mathematical Methods in Elasticity Imaging

Bag om Mathematical Methods in Elasticity Imaging

"This book covers recent mathematical, numerical, and statistical approaches for elasticity imaging of inclusions and cracks. A precise and timely book, it is easy to follow and will interest readers."--Yanyan Li, Rutgers University"This book is the first to provide readers with a comprehensive overview of mathematical and computational studies of elasticity imaging. It is a useful resource for scientists and engineers in the relevant fields and a solid reference for any newcomers to elasticity imaging."--Gang Bao, Zhejiang University"This well-organized book explains recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. It makes an important contribution to the understanding of trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution in multistatic imaging."--Jin Keun Seo, Yonsei University

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780691165318
  • Indbinding:
  • Hardback
  • Sideantal:
  • 240
  • Udgivet:
  • 6. april 2015
  • Størrelse:
  • 261x185x21 mm.
  • Vægt:
  • 578 g.
  • 2-3 uger.
  • 27. november 2024

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Beskrivelse af Mathematical Methods in Elasticity Imaging

"This book covers recent mathematical, numerical, and statistical approaches for elasticity imaging of inclusions and cracks. A precise and timely book, it is easy to follow and will interest readers."--Yanyan Li, Rutgers University"This book is the first to provide readers with a comprehensive overview of mathematical and computational studies of elasticity imaging. It is a useful resource for scientists and engineers in the relevant fields and a solid reference for any newcomers to elasticity imaging."--Gang Bao, Zhejiang University"This well-organized book explains recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. It makes an important contribution to the understanding of trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution in multistatic imaging."--Jin Keun Seo, Yonsei University

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