This volume contains a collection of articles on state-of-the-art developments in 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 Seventeenth International Conference on Integral Methods in Science and Engineering, held virtually in July 2022, and are written by internationally recognized researchers. This collection will be of interest to researchers in applied mathematics, physics, and mechanical, electrical, and petroleum engineering, as well as graduate students in these disciplines and other professionals for whom integration is an essential working tool.

Christian Constanda is the holder of the C.W. Oliphant Chair in Mathematics at the University of Tulsa, USA, Emeritus Professor at the University of Strathclyde in Glasgow, UK, and the chairman of the Steering Committee of the International Consortium on Integral Methods in Science and Engineering. His list of publications includes 36 books and over 150 journal papers. He has taught mathematics at universities in four countries on three continents. 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.