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This book introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. 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.
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.Thanks for subscribing!
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