In previous courses of our online specialization you've learned the basic algorithms, and now you are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset.
Este curso forma parte de Programa especializado: Estructuras de datos y algoritmos
Ofrecido Por
Acerca de este Curso
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Prueba Coursera para negociosHabilidades que obtendrás
- Python Programming
- Linear Programming (LP)
- Np-Completeness
- Dynamic Programming
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Flows in Networks
Linear Programming
NP-complete Problems
Coping with NP-completeness
Reseñas
- 5 stars72,28 %
- 4 stars18,37 %
- 3 stars5,51 %
- 2 stars1,68 %
- 1 star2,14 %
Principales reseñas sobre ADVANCED ALGORITHMS AND COMPLEXITY
Very Educational and Enlightening. The only criticism I have is that the starter files generally need more modification than indicated to create a successful program.
Loved what I learnt, I also implemented a project using Google MAP API for the organization I'm working at
Another great course in this specialization with challenging and interesting assignments. However, this one is somewhat harder but rewarding.
after 2 week rest weeks are fun with Alexander S. Kulikov.
Daniel M kane, does not meet our need.
But overall this course has many thing to learn.
Acerca de Programa especializado: Estructuras de datos y algoritmos

Preguntas Frecuentes
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