From Analysis to Visualization (eBook)

A Celebration of the Life and Legacy of Jonathan M. Borwein, Callaghan, Australia, September 2017

David H. Bailey, Naomi Simone Borwein, Richard P. Brent, Regina S. Burachik, Judy-anne Heather Osborn, Brailey Sims, Qiji J. Zhu (Herausgeber)

eBook Download: PDF

2020 | 1st ed. 2020
XXV, 439 Seiten
Springer International Publishing (Verlag)
978-3-030-36568-4 (ISBN)

Infos

Students and researchers from all fields of mathematics are invited to read and treasure this special Proceedings. A conference was held 25 -29 September 2017 at Noah's On the Beach, Newcastle, Australia, to commemorate the life and work of Jonathan M. Borwein, a mathematician extraordinaire whose untimely passing in August 2016 was a sorry loss to mathematics and to so many members of its community, a loss that continues to be keenly felt.  A polymath, Jonathan Borwein ranks among the most wide ranging and influential mathematicians of the last 50 years, making significant contributions to an exceptional diversity of areas and substantially expanding the use of the computer as a tool of the research mathematician. The contributions in this commemorative volume probe Dr. Borwein's ongoing legacy in areas where he did some of his most outstanding work: Applied Analysis, Optimization and Convex Functions; Mathematics Education; Financial Mathematics; plus Number Theory, Special Functions and Pi, all tinged by the double prisms of Experimental Mathematics  and Visualization, methodologies he championed.

Produkt-Details

• Erscheint lt. Verlag: 16.3.2020
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Reihe/Serie: Springer Proceedings in Mathematics & Statistics
• Zusatzinfo: XXIII, 439 p. 71 illus., 32 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Themenwelt: Sozialwissenschaften ► Pädagogik
• Schlagworte: Applied Analysis • Commemorative Jonathan Borwein • Experimental Mathematics • Financial Mathematics • Math education • Number Theory • Quantitative Finance
• ISBN-10: 3-030-36568-9 / 3030365689
• ISBN-13: 978-3-030-36568-4 / 9783030365684