Podcast ini mungkin tak lagi merilis episode baru, dan sebagian audio mungkin rusak.
Maybe this podcast has a new rss feed?
IHWAL PODCAST INI 🔗
The purpose of this undergraduate course is to introduce fundamental techniques and viewpoints for the design and the analysis of efficient computer algorithms, and to study important specific algorithms. The course relies heavily on mathematics and mathematical thinking in two ways: first as a way of proving properties about particular algorithms such as termination, and correctness; and second, as a way of establishing bounds on the worst case (or average case) use of some resource, usually time, by a specific algorithm. The course covers some randomized algorithms as well as deterministic algorithms.
Frekuensi pembaruan:
daily
Panjang audio rata-rata:
46 minutes
Inggris
Amerika Serikat
60 episode
sejak 23 Sep. 2010
episodic
EPISODE TERBARU 🔗
Lecture 28: Gusfield recaps NP-completeness.
The professor discusses coping with NP-complete problems: approximation algorithms and lowering the exponent of exponential-time algorithms.
CARI EPISODE TERDAHULU
Cari episode sebelumnya dari Algorithm Design and Analysis.
EPISODE SEBELUMNYA 🔗
Lecture 28: Gusfield recaps NP-completeness.
The professor discusses coping with NP-complete problems: approximation algorithms and lowering the exponent of exponential-time algorithms.
Lecture 27 covers the major theorems of NP-completeness, P = NP question, and how to prove a new problem in NP-complete.
Lecture 27 covers the major theorems of NP-completeness, P = NP question, and how to prove a new problem in NP-complete.
In Lecture 26, Gusfield gives correct, formal definitions of P and NP, ending with a brief definition of NP-complete problems (languages).
In Lecture 26, Gusfield gives correct, formal definitions of P and NP, ending with a brief definition of NP-complete problems (languages).
Lecture 25 deals with an intuitive view of NP - not the correct formal definition.
Lecture 25 deals with an intuitive view of NP - not the correct formal definition.
Lecture 24 gives an introduction to P and NP and polynomial-time reductions.
Lecture 24 gives an introduction to P and NP and polynomial-time reductions.
Sanggahan: Podcast dan karya seni yang disematkan pada halaman ini berasal dari Dan Gusfield, yang merupakan milik pemiliknya dan tidak berafiliasi atau didukung oleh Listen Notes, Inc.
MESIN PENCARI PODCAST
Anda dapat menggunakan situs web kami untuk mencari podcast3,822,188dan episode195,453,017menurut orang, tempat, atau topik.
I have no special talent. I am only passionately curious, and
I listen to podcasts.
‐ Albert "Llamacorn" Einstein
CARI EPISODE TERDAHULU
Cari episode sebelumnya dari Algorithm Design and Analysis.
AMBIL PODCAST INI
Why to claim podcasts?
If you are a podcaster, the best way to manage your podcasts on Listen Notes is by claiming your Listen Notes
podcast pages.
It is a great, free way to engage the podcast community and increase the visibility of your podcasts.
After claiming your Listen Notes podcast pages, you will be able to:
✓
Manually refresh the RSS feed to sync up
✓
Get a verified badge (
✓
) alongside with your podcast name on Listen Notes
✓
Post iklan baris for sponsorship,
guests, co-hosts,
cross-promotion...
✓
Respond to listener comments on Listen Notes
✓
Use speech-to-text techniques to transcribe your show and
edit transcripts
✓
Improve the presence of your podcasts, e.g., self-service
wawancara podcaster...
✓
If you share your Listen Notes page and at-mention @ListenNotes
on X (formerly Twitter),
akun X resmi kami (sebelumnya Twitter) will retweet to promote
your show to our followers.
Coming soon:
◯ Self-service promotion on Listen Notes
◯ Track your podcast stats on Listen
Notes, e.g., listens, page
views...
◯ Manage episodes
Sunting
Terima kasih telah membantu agar basis data podcast tetap terbaru
