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  <titleInfo>
    <title>Numerical Methods for PDEs</title>
    <subTitle>State of the Art Techniques</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Di Pietro, Daniele Antonio.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Ern, Alexandre.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Formaggia, Luca.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">gw</placeTerm>
    </place>
    <dateIssued encoding="marc">2018</dateIssued>
    <edition>1st ed. 2018.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online resource (XV, 312 pages 66 illustrations, 39 illustrations in color.)</extent>
  </physicalDescription>
  <abstract>This volume gathers contributions from participants of the Introductory School and the IHP thematic quarter on Numerical Methods for PDE, held in 2016 in Cargese (Corsica) and Paris, providing an opportunity to disseminate the latest results and envisage fresh challenges in traditional and new application fields. Numerical analysis applied to the approximate solution of PDEs is a key discipline in applied mathematics, and over the last few years, several new paradigms have appeared, leading to entire new families of discretization methods and solution algorithms. This book is intended for researchers in the field.</abstract>
  <tableOfContents>1 Di Pietro D.A. et al, An introduction to the theory of M-decompositions -- 2 Gerritsma M. et al, Mimetic Spectral Element Method for Anisotropic Diffusion -- 3 Di Pietro D.A. and Tittarelli R., An introduction to Hybrid High-Order methods -- 4 Boffi D. et al, Distributed Lagrange multiplier for fluid-structure interactions -- 5 Barton M. et al, Generalization of the Pythagorean Eigenvalue Error Theorem and its Application to Isogeometric Analysis -- 6 Burman E. and Oksanen L., Weakly consistent regularisation methods for ill-posed problems -- 7 Phuong Huynh D.B. et al, Reduced basis approximation and a posteriori error estimation: applications to elasticity problems in several parametric settings -- 8 Veeser A., Adaptive Tree Approximation With Finite Element Functions - A First Look -- 9 Formaggia L. and Vergara C., Defective boundary conditions for PDEs with applications in haemodynamics.</tableOfContents>
  <note type="statement of responsibility">edited by Daniele Antonio Di Pietro, Alexandre Ern, Luca Formaggia.</note>
  <subject authority="lcsh">
    <topic>Computer mathematics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Numerical analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Partial differential equations</topic>
  </subject>
  <subject>
    <topic>Numerical Analysis</topic>
  </subject>
  <subject>
    <topic>Computational Science and Engineering</topic>
  </subject>
  <subject>
    <topic>Partial Differential Equations</topic>
  </subject>
  <classification authority="lcc">QA 39.3 .A58 2018</classification>
  <classification authority="ddc" edition="23">518</classification>
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    <titleInfo>
      <title>SEMA SIMAI Springer Series, 15</title>
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  <identifier type="isbn">9783319946764</identifier>
  <identifier type="lccn">2019742517</identifier>
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