rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Stochastic methods in advanced scientific computing
  name:
    name part: Langfeld, Kurt
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Lucini, Biagio
    role:
      role term: author.
  name:
    name part: D'Elia, Massimo
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 volume) : illustrations (black and white).
  abstract: Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field. Features Self-contained, starting from the theoretical foundations and advancing to the most recent developments in the field Suitable as a reference for post-graduates and researchers or as supplementary reading for courses in numerical methods, scientific computing, and beyond Interdisciplinary, laying a solid ground for field-specific applications in finance, physics and biosciences on common theoretical foundations Replete with practical examples of applications to classic and current research problems in various fields.
  note: Kurt Langfeld, Biagio Lucini, Massimo D'Elia.
  note: Massimo D'Elia is Professor of Theoretical Physics at the Physics Department of the University of Pisa. Alumnus of the Scuola Normale Superiore in Pisa, he got his PhD in Physics from Pisa University in 1998. He has been Postdoctoral Fellow at the University of Cyprus and at ETH, Zurich, and Assistant Professor at the Physics Department of the University of Genoa. He is an expert in Lattice Gauge Theories and their implementation on HPC infrastructures, with interests also in Quantum Computing and numerical approaches to Quantum Gravity. He has obtained various achievements, especially in the study of the Phase Diagram of strong interactions. He has served as a reviewer for major scientific journals and funding agencies. He is author of two textbooks and more than 200 papers. Kurt Langfeld is Professor of Theoretical Physics and Head of School of Mathematics at the University of Leeds, England. His work in numerical methods for simulating Quantum Field Theories and Particle Physics is widely respected, with over 180 articles published in international journals. In 1991, he was awarded a PhD in Theoretical Physics from Technical University of Munich. He went on to serve as Researcher and Lecturer at the University of T¨ubingen, Germany from 1991 to 2006; during this time he also enjoyed research visits to CEA, Saclay (Paris) and KIAS (Seoul). In 1999, he achieved the highly esteemed Venia Legendi award at the University of Tubingen. 2005 saw him become Professor for Theoretical Physics at the University of Tubingen, before moving on to Plymouth Univeristy as part of their Particle Physics group in 2006. April 2012 saw him assume full Professorship for Theoretical Physics at Plymouth and 2016 saw him become Professor and Head of Department of Mathematical Sciences at the University of Liverpool. In 2020, he took up his current role as Head of School of Mathematics at the University of Leeds.He has dedicated himself to giving back to the community; he has been an activ…
  subject:
    topic: Stochastic processes
    topic: Data processing
  subject:
    topic: Processus stochastiques
    topic: Informatique
  subject:
    topic: MATHEMATICS / Number Systems
  subject:
    topic: Stochastic processes
    topic: Data processing
  classification: QA274
  classification: 003.76
  related item:
    title info:
      title: Numerical analysis and scientific computing series
  related item:
    title info:
      title: Stochastic methods in advanced scientific computing
    name:
      name part: Langfeld, Kurt.
    origin info:
      publisher: Boca Raton : Chapman & Hall/CRC, 2019
    identifier: (OCoLC)1091646222
  identifier: 9781315156156
  identifier: 1315156156
  identifier: 9781351642699
  identifier: 1351642693
  identifier: 9781498796347
  identifier: 1498796346
  identifier: 9781351652223
  identifier: 1351652222
  identifier: 9781498796330
  identifier: 1498796338
  identifier: 9781315156156 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: TYFRS
    record creation date: 240429
    record change date: 20241111204845.0
    record identifier: in00005529094
    language of cataloging:
      language term: eng