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A01=Biagio Lucini
A01=Kurt Langfeld
A01=Massimo D'Elia
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Age Group_Uncategorized
Author_Biagio Lucini
Author_Kurt Langfeld
Author_Massimo D'Elia
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Category1=Non-Fiction
Category=PBWL
Category=PH
Category=UB
Category=UKC
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€50 to €100
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Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques

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.
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Current price €86.44
Original price €90.99
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A01=Biagio LuciniA01=Kurt LangfeldA01=Massimo D'EliaAge Group_UncategorizedAuthor_Biagio LuciniAuthor_Kurt LangfeldAuthor_Massimo D'Eliaautomatic-updateCategory1=Non-FictionCategory=PBWLCategory=PHCategory=UBCategory=UKCCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Activesoftlaunch

Will deliver when available. Publication date 31 Aug 2026

Product Details
  • Weight: 898g
  • Dimensions: 156 x 234mm
  • Publication Date: 11 Jun 2024
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781498796330

About Biagio LuciniKurt LangfeldMassimo D'Elia

Massimo DElia 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 active reviewer for the Engineering and Physical Sciences Research Council (EPSRC) Austrian council FWF Swiss National Supercomputer Center (CSCS). He is a member of the Parliament Scientific Committee devoted trustee of the University of Liverpool Maths School (ULMaS) and part of the Steering Group opening an University sponsored Mathematics specialist 6th form in Leeds.Biagio Lucini is a Fellow of the Learned Society of Wales and a Professor of Mathematics at Swansea University. He was awarded a Ph.D. in Theoretical Particle Physics by Scuola Normale (Pisa Italy) in 2000. Before joining Swansea University in 2005 he was a Postdoctoral Fellow at the Rudolf Peierls Centre for Theoretical Physics (Oxford University UK) from 2000 to 2003 and at the Theoretical Physics Institute of ETH (Zurich Switzerland) from 2003 to 2005. Fellowship and awards he has received include a Royal Society Wolfson Merit Award (2017-2022) and a Leverhulme Research Fellowship (2020-2022). His research activity is centred around Monte Carlo calculations in Statistical Mechanics and Particle Physics. In particular his interests are in Phase Transitions and Critical Phenomena including machine learning approaches and efficient algorithms for simulations near criticality using High Performance Computing architectures. To date his scientific contributions have resulted in over 180 research papers.

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