Mathematics

1. Giovanni Moruzzi

Essential Python for the Physicist

Giovanni Moruzzi is a retired associate professor from the Physics Department at the University of Pisa, where he continues to teach a course on basic Python algorithms, with a particular focus on computer animation of physical phenomena. His research interests encompass atomic and molecular spectroscopy, particularly the analysis and assignment of dense molecular spectra involving large-amplitude internal motions. He has authored over 70 papers in peer-reviewed journals and has contributed as both co-editor and co-author of two scientific books and two books on physics exercises

1. Benoît Gaüzère

Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2025, held in Caen, France, in June 2025. The 25 full papers presented here were carefully reviewed and selected from 33 submissions.

Nonlinear Analysis and Computational Techniques

H. K. Nashine is a Professor of Mathematics and Dean of School of Advanced Sciences and Languages at VIT Bhopal University, Bhopal, India. He is a recipient of Fulbright-Nehru Postdoctoral. He has more than 20 years of teaching experience at different level of institutes. He is an active researcher and working on fixed point theory, nonlinear matrix equations and fractional differential and integral equations. He has published more than 200 research papers in various journals which is published by Elsevier, Taylor & Francis, World Scientific, Springer, Hindawi etc, and 10 book chapters in international publications. He has given 15 invited talks in the international/National conferences. He has visited Switzerland, Vietnam, South Korea, Thailand, Brazil and Romania to present research papers. He has completed 4 International and National Projects. He has handled the special issues of International journals as Lead-Editors and editors. He is a reviewer of many journals associated with Elsevier, Springer, Hindawi, Taylor & Francis and MDPI publishers. He is co-author of the book "Approximation Theory, Sequence Spaces and Applications" (Springer, 2022). He has guided 3 PhD students. Dr. Ranis N. Ibragimov is currently an acquisition editor: Mathematics & Computer Sciences, De-Gruyter Publisher. He was a postdoctoral fellow of McMaster University, Canada after his PhD from University of Waterloo, Canada. Dr Ibragimov was full time faculty of Wenatchee Valley College, USA followed by University of Wisconsin-Parkside, USA. He was a visiting researcher at the Pacific Northwest National Laboratory, Department of Energy, USA. Dr. Ibragimov’s research interests broadly lie in the applications of Mathematical Modeling (including Differential Equations, Analytic and Numerical Methods, Perturbation theory, Bifurcation phenomena, Asymptotic Methods, Data Analysis, and Statistics) to industrial, engineering, and environmental sciences. As a fluid dynamicist, he has worked on geophysical and environmental flows within a complex geometry. His research is numerically oriented and theoretical in nature. Dr. Ibragimov is the editor of several Journals. He is Editor in chief of "Mechanical Engineering Research" , Canadian Center of Science and Education. Dr. Ibragimov is an author of the monograph "Lie Group Analysis of Differential Equations:". He is an author of several books. Dr. Ibragimov is International advisory members of "International Conference on nonlinear and Computational techniques (ICNACT-2024). Dr. Hemanta Kalita is presently Assistant Professor, Mathematics Division, VIT Bhopal University, Kothri-kalan, Bhopal-Indore Highway, Sehore, Madhya Pradesh, India. Dr. Hemanta Kalita is a Doctorate from Gauhati University under the guidance of Prof Bipan Hazarika. He has an academic experience of 11 years and has worked at various levels up to Assistant Professor. He has 30 publications in peer reviewed International journals with high impact factor and has 2 publications in various International Conferences held in India and abroad. Dr. Kalita has been an expert speaker in various International Conferences and has organized an International Conference (ICNAA-2022). Dr. Kalita was an Invited researcher at Usak University, Turkey, 2023. Dr. Kalita has published an issue in Journal of nonlinear and convex analysis as a guest editor. Currently he is handling several special issues in many high quality Journals. He is working on Function spaces, integration theory and measure theory. Dr. Kalita has research collaborators in several countries of Europe, USA, Asian and Africa.

1. Ping-Qi Pan

Face Method

The interior-point method failed to shake the domination of the simplex method. After years of research and exploration, the author proposes to break out of the simplex and interior-point methods.

A Compendium of Responsible Artificial Intelligence

The book puts key issues such as bias, transparency, accountability and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values.

1. Kenneth Lange

Algorithms from The Book

Kenneth Lange is the Rosenfeld Professor of Computational Genetics at UCLA and a faculty member in the Departments of Computational Medicine, Human Genetics, and Statistics. At various times during his career, he has held appointments at the University of New Hampshire, MIT, Harvard, the University of Michigan, the University of Helsinki, and Stanford. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Institute for Medical and Biomedical Engineering. He won the Snedecor Award from the Joint Statistical Societies in 1993 and gave a platform presentation at the 2015 International Congress of Mathematicians. He was elected to the US National Academy of Sciences in 2020. His previously published books include Mathematical and Statistical Methods for Genetic Analysis, Numerical Analysis for Statisticians, Applied Probability, Optimization, and MM Optimization Algorithms. His research interests include human genetics, population modeling, cancer modeling, biomedical imaging, computational statistics, optimization theory, and applied stochastic processes.