Solving the Hardest Problems with Daniel Spielman (Nevanlinna Prize 2010)
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- Опубліковано 30 вер 2023
- University of Oxford Mathematician Dr Tom Crawford talks to Professor Daniel Spielman of Yale University about his career so far, including what it was like to win the 2010 Nevanlinna Prize. Learn more about Discrepancy Theory with the Maple Learn worksheet here: learn.maplesoft.com/doc/8n4hf...
Sign-up for Maple Learn Premium using the code TOMROCKSMATHS for a discounted subscription. Head to getlearn.maplesoft.com/ for more information.
Recorded at the 2023 Heidelberg Laureate Forum. Find out more about the event at www.heidelberg-laureate-forum...
The Nevalinna Prize (now renamed the Abacus Medal) is awarded by the International Mathematical Union (IMU) every 4 years for outstanding contributions in Mathematical Aspects of Information Sciences. Daniel received his prize in 2010 "for smoothed analysis of Linear Programming, algorithms for graph-based codes and applications of graph theory to Numerical Computing."
Links to Tom's other interviews with Laureates in Maths and Computer Science.
Whitfield Diffie: • Discovery of Public Ke...
Lesley Lamport: • Ig Nobel Prize with Le...
Alessio Figalli: • Maths Career of Alessi...
Martin Hairer: • Playing Tetris with Ma...
Michael Atiyah: • Sir Michael Atiyah and...
Links to Daniel's talks at the 2023 HLF.
Lightning Talks: • Lightning Talks | Sept...
Sparks Session: • Spark Sesion | Septemb...
Links to the two publications mentioned in the video.
Spielman: arxiv.org/abs/1911.03071
Spencer: www.jstor.org/stable/2000258
Link to interview with Daniel at HLF5: • 5th HLF - Laureate int...
With thanks to:
Daniel Spielman
Heidelberg Laureate Forum Foundation
Photograph of Commodore PET by Rama, Wikimedia Commons, Cc-by-sa-2.0-fr
Photograph of Notebooks by Brandon Schulman for Quanta Magazine
Tom Geller
Produced by Dr Tom Crawford at the University of Oxford. Tom is Public Engagement Lead at the Oxford University Department of Continuing Education: www.conted.ox.ac.uk/
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Learn more about Discrepancy Theory with the Maple Learn worksheet here: learn.maplesoft.com/doc/8n4hf5eiaw/discrepancy-theory
If more knowledge doesn't make you more humble then it's unworth knowing in the first place. Kudos for both of you, lovely humans!
Hey tom just wanna say I really enjoy this series been binge listening to these on a sunday while I clean ❤
Amazing as always. Thank you for your hard work.
I am excited . i am from Nepal , and i am in class 12 . I wanna go so deep inside mathematics and computer science
You will,but just don't let your opportunity go away
@@denishclarke4470 💙
leave the country brother, you'll get way better opportunities in the west
(Mathematics and computer science are two elementary school children btw)
There are so many good resources online like 3b1b, khans academy, MIT open courseware, etc. which you could use. That's how i study
often times it's better to try to fail than failing to try
Amazing Stuff
29:00 since we can store information on SSDs or HDDs, storing it in our brain became a bit less important, so I can understand why probably the majority of people have a less trained memory-skill nowadays. Also there is so much information out there nowadays, it's hard to keep it all stored in our heads
This vid needs 1 million views
Very quotable man.
I’ve thought of a better/more accurate answer to the question asked in the live chat. I believe my strength is determination ❤️
My son often asks me my favourite number, and he's learned to specify it has to be an integer, or else I'll go for one of e, i, Phi, and Pi. 😂
What's the relationship between Discrepancy Theory and Information Theory? Kolmogorov Complexity calculations seem particularly applicable.
could be like I using AI developed black-box analysis and just hmm went to test (sent to) it was good (python) but idea was why i focused on eliminating false negatives, idea came why not false positives my only idea answer now is because maybe it is test based on binary cases true/false. They said it is not clear but my system should be usable on all systems pc/mac/ios/android.idea is from beginning a self generating self explaining self ----- structure that gives a shadow but is it real in the world? I love people challenging why and how!
because I need the job
math
Using computers to find counter-examples should have been an obvious first step in considering any proof.
Lots of stuff in modern math are not computable.
why ..
never
because every one like my body for me
man...my color is pink
now
Iam sleeping forever
I like help me please
why speak every one is my body
man is hard