The most recommended introductory books on category theory (at least for pure mathematicians) are probably those by Steve Awodey, Tom Leinster, and Emily Riehl. All three have very considerable virtues.
Gathering labeled data to train well-performing machine learning models is one of the critical challenges in many applications. Active learning aims at red
- Ref: cds.cern.ch/record/2700089
- This monograph emphasizes the main role differential geometry and convex analysis play in the understanding of physical, chemical, and mechanical notions. Providing a thorough overview of mathematical modeling of physical systems, this book is a useful resource for graduate students and researchers.
- Ref: cds.cern.ch/record/2700109
- This book contains 57 selected articles by Professor Radha Charan Gupta—a doyen of history of mathematics—written on a variety of important topics in Indian astronomy and mathematics, and deals with the bibliographical sketches of a few veteran historians of Indian mathematics
This book is a must-have for anyone serious about rendering in real time. With the announcement of new ray tracing APIs and hardware to support them, developers can easily create real-time application
R. Bezrukavnikov, S. Dawydiak, and G. Dobrovolska. (2021)cite arxiv:2110.15903Comment: 13 pages, 1 figure, 1 table. With an appendix by Roman Bezrukavnikov, Alexander Braverman, and David Kazhdan.