यह पॉडकास्ट अब नए एपिसोड जारी नहीं कर सकता है, और कुछ ऑडियोज़ टूट सकते हैं।
Maybe this podcast has a new rss feed?
इस पॉडकास्ट की जानकारी 🔗
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.
अद्यतन आवृत्ति:
daily
औसत ऑडियो लंबाई:
46 minutes
अंग्रेज़ी
संयुक्त राज्य अमरीका
60 एपिसोड
23 सितमबर 2010
episodic
नवीनतम एपिसोड 🔗
Lecture 28: Gusfield recaps NP-completeness.
The professor discusses coping with NP-complete problems: approximation algorithms and lowering the exponent of exponential-time algorithms.
पिछले एपिसोड्स खोजें
Algorithm Design and Analysis के पिछले एपिसोड खोजें।
पिछले एपिसोड 🔗
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.
अस्वीकरण: इस पृष्ठ पर एम्बेडेड पॉडकास्ट और कलाकृति Dan Gusfield से हैं, जो इसके मालिक की संपत्ति है और Listen Notes, Inc. से संबद्ध या समर्थित नहीं है।
पॉडकास्ट खोज इंजन
आप लोगों, स्थानों या विषयों के आधार पर3,822,630पॉडकास्ट और195,560,864एपिसोड खोजने के लिए हमारी वेबसाइट का उपयोग कर सकते हैं।
If I have seen further than others, it is by listening to podcasts and standing upon the shoulders of
giants.
‐ Isaac "Llamacorn" Newton
पिछले एपिसोड्स खोजें
Algorithm Design and Analysis के पिछले एपिसोड खोजें।
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