
Stochastic Methods in Scientific Computing
Description
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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.
Reviews / Votes
"The collaborative work of theoretical physics professors Massimo D'Elia, Kurt Langfeld, and Biagio Lucini, "Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques" from CRC Press is exceptionally well organized and presented, making it an ideal and unreservedly recommended textbook for college/university library instructional reference collections, as well as Computer Science, Physics, and AI technology curriculums."-Midwest Book Review
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Persons
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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