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Opiniones y comentarios de aprendices correspondientes a Introduction to numerical analysis por parte de HSE University

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44 reseña

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Numerical computations historically play a crucial role in natural sciences and engineering. These days however, it’s not only traditional «hard sciences»: whether you do digital humanities or biotechnology, whether you design novel materials or build artificial intelligence systems, virtually any quantitative work involves some amount of numerical computing . These days, you hardly ever implement the whole computation yourselves from scratch. We rely on libraries which package tried-and-tested, battle-hardened numerical primitives. It is vanishingly rare however that a library contains a single pre-packaged routine which does all what you need. Numerical computing involves assembling these building blocks into computational pipelines. This kind of work requires a general understanding of basic numerical methods, their strengths and weaknesses, their limitations and their failure modes. And this is exactly what this course is about. It is meant to be an introductory, foundational course in numerical analysis, with the focus on basic ideas. We will review and develop basic characteristics of numerical algorithms (convergence, approximation, stability, computational complexity and so on), and will illustrate them with several classic problems in numerical mathematics. You will also work on implementing abstract mathematical constructions into working prototypes of numerical code. Upon completion of this course, you will have an overview of the main ideas of numerical computing, and will have a solid foundation for reading up on and working with more advanced numerical needs of your specific subject area. As prerequisites for this course, we assume a basic command of college-level mathematics (linear algebra and calculus, mostly), and a basic level of programming proficiency. Do you have technical problems? Write to us:

Principales reseñas

6 de jun. de 2020

A simple course that would definitely help me in the near future as it provides me an idea on how interpolation and estimation works.

8 de dic. de 2019

Excelent course. Really liked how the teacher explained the course in general. I would upgrade it with more examples reviewed.

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26 - 44 de 44 revisiones para Introduction to numerical analysis

por Timchenko D

10 de may. de 2020

Lecturer is awesome!

por AYENG, R D (

26 de mar. de 2021

Thank You!!!

por Lubomir

11 de jun. de 2020

great course

por BAGAIN, J R (

31 de mar. de 2020

ugh so goood


14 de dic. de 2020


por Brayam A O R

6 de dic. de 2020


por JEAN P R V

15 de sep. de 2020

thank you

por Sawar

4 de jun. de 2020

very good

por Angely N G B

9 de dic. de 2020

me gusto

por Daniela C A

1 de jun. de 2020

So good.

por Muhammad A

4 de jun. de 2020


por NEHA F

13 de may. de 2020



4 de ene. de 2022


por Brenda c C

9 de dic. de 2020


por Riya S

26 de jun. de 2020


por Shuiai X

1 de mar. de 2021

very good lecture and assignments. Just very hard to found classmates to review assignments.

por Иващенко О

13 de dic. de 2020

The course is challenging enough, but explanations are too pure.

por S D 1

28 de may. de 2020

good for both math and program person.

por ULZAME, D J (

2 de nov. de 2020