Integral Methods in Science and Engineering: Applications in Theoretical and Practical Research. This item is unavailable.Integral Methods in Science and Engineering: Applications in Theoretical and Practical Research

This contributed volume contains a collection of articles on state-of-the-art developments on the construction of theoretical integral techniques and their application to specific problems in science and engineering. Chapters in this book are based on talks given at the Symposium on the Theory and Applications of Integral Methods in Science and Engineering, held virtually in July 2021, and are written by internationally recognized researchers.   This collection will be of interest to researchers in applied mathematics, physics, and mechanical and electrical engineering, as well as graduate students in these disciplines and other professionals for whom integration is an essential tool.

Paul J. Harris is Reader in Applied Mathematics at the University of Brighton. He has worked on using numerical methods to solve problems in applied mathematics for over 30 years. The problems he has worked on include computational acoustics and explosion bubble dynamics. More recently Dr Harris has concentrated using mathematics to solve biomedical problems including modelling the formation of cavities in the spinal cord and how cells move in response to chemical signal.

Bardo E.J. Bodmann is a Professor at the Engineering School of the Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil and an active memeber of the Integral Methods in Science and Engineering Consortium. Along his career he (co-)authored over a hundred articles in international scientific journals, several tenth book chapters and a few books. His current research interests focus on mathematical methods to solve classical as well as quantum transport problems. In the context of the latest developments works contemplate also physical Monte Carlo simulatations using parametrisations for multi-dimensional probability density functions and spectral distributions.