The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).
Why Study Algorithms?
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Destrezas que aprenderás
Algorithms, Randomized Algorithm, Sorting Algorithm, Divide And Conquer Algorithms
Reseñas
4.8 (5,014 calificaciones)
- 5 stars83,06 %
- 4 stars13,66 %
- 3 stars1,83 %
- 2 stars0,57 %
- 1 star0,85 %
JC
10 de jun. de 2017
A really exciting and challenging course. Loved the way the instructor explained everything with so much detail and precision. Definitely looking forward to the next course in the specialization.
FR
15 de mar. de 2017
Very good course in algorithms. I bought the book to help me understand but the lectures make it way easier and thus much more fun to understand the analysis. Looking forward to complete the spec
De la lección
Week 1
Introduction; "big-oh" notation and asymptotic analysis.
Impartido por:
Tim Roughgarden
Professor
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