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KCL Numerical and Computational Methods in Python

This class was created by Brainscape user tyrion lannister. Visit their profile to learn more about the creator.

By: tyrion lannister
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Decks in this class (10)

Week 1
Recursion relation for newton s m...,
How to workout order and rate of ...
2  cards
Week 2
Rate and order of convergence of ...,
If q 1 what does this mean for,
1 sublinear convergence
24  cards
Week 3
What is double zero case,
Python pip,
Python lagrange
15  cards
Week 4
Difference between exact function...,
Intermediate value theorem,
Theorem of error of polynomial in...
22  cards
Week 5
Equate quantity and approximation...,
Richardson extrapolation formula,
Apply richardson extrapolation fo...
18  cards
Week 6
Idea behind gaussian integration,
Process for gaussian integration,
Important formula
4  cards
Week 7
Error of euler method,
Recursion relation for runge kutta,
Recursion relation for euler method
3  cards
Week 8
Binomial coefficient,
Probability distribution of monte...,
Convergence rate of monte carlo m...
21  cards
Week 9
Laplace equation,
Approximate f x y for laplace equ...
4  cards
Week 10
Solve eigenvalue problem analytic...,
Jacobi method idea,
General form of r in jacobi
10  cards

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KCL Numerical and Computational Methods in Python

  • Class purpose General learning

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