Es posible que este pódcast ya no publique nuevos episodios y que algunos de los audios estén dañados.
Maybe this podcast has a new rss feed?
ACERCA DE ESTE PODCAST 🔗
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.
Frecuencia de actualización:
daily
Duración media del audio:
46 minutes
Inglés
Estados Unidos
60 episodios
desde 23 de septiembre de 2010
episodic
ÚLTIMO EPISODIO 🔗
Lecture 28: Gusfield recaps NP-completeness.
The professor discusses coping with NP-complete problems: approximation algorithms and lowering the exponent of exponential-time algorithms.
BUSCAR EPISODIOS ANTERIORES
Buscar episodios anteriores de Algorithm Design and Analysis.
EPISODIOS ANTERIORES 🔗
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.
Descargo de responsabilidad: El podcast y el arte incluidos en esta página son de Dan Gusfield, que es propiedad de su propietario y no está afiliado ni respaldado por Listen Notes, Inc.
MOTOR DE BÚSQUEDA DE PODCAST
Puede utilizar nuestro sitio web para buscar podcasts de3,822,188y episodios de195,453,017por personas, lugares o temas.
If I have seen further than others, it is by listening to podcasts and standing upon the shoulders of
giants.
‐ Isaac "Llamacorn" Newton
BUSCAR EPISODIOS ANTERIORES
Buscar episodios anteriores de Algorithm Design and Analysis.
RECLAMAR ESTE PODCAST
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 anuncios clasificados 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
entrevista con podcaster...
✓
If you share your Listen Notes page and at-mention @ListenNotes
on X (formerly Twitter),
nuestra cuenta oficial de X (antes 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
EDITAR
Gracias por ayudar a mantener actualizada la base de datos de podcasts.
