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CS 357

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

By: Guillaume Jounel
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Decks in this class (24)

Lecture 1
Make python wait,
T n o g n definition,
Matrix product numpy
7  cards
Lecture 2
Get identifier of an object a tes...,
Immutable objects,
Mutable objects
16  cards
Lecture 3
A hi a hello,
Aappend a a a difference,
A 0 1 2 3 4 5 6 7 8 9 a 1 2 1
13  cards
Lecture 4
Rng properties,
Period of a pseudorandom number g...,
Lcg
14  cards
Lecture 5
Relative error,
Significant digits figures,
Relation relative error accurate ...
20  cards
Lecture 6
Find decay f n error semilogy,
Find decay f n error,
Algebraic convergence vs growth
11  cards
Lecture 7
Floating point numbers precision,
Normalized floating point represe...,
Normalized floating point represe...
11  cards
Lecture 8
Ieee 754 single precision,
Ieee 754 single precision zero,
Ieee 754 single precision subnorm...
17  cards
Lecture 9
Vector space,
Linear function,
F x x x f r r linear
27  cards
Lecture 10
Norm properties,
P norms 1 2,
Unit balls 1 2
19  cards
Lecture 11
Undo a linear operation,
Solve lower triangular systems,
Solve upper triangular systems
7  cards
Lecture 12
Lu factorization block format dec...,
Example lu factorization using bl...,
Lu factorization complexity and p...
11  cards
Lecture 13
Sensitivity of solutions linear s...,
Condition number,
Ill conditioned system
18  cards
Lecture 14
Range a,
Null a,
Eigenvector eigenvalue
19  cards
Lecture 15
Inverse power iteration,
Inverse power iteration steps,
Cost of computing largest eigenva...
8  cards
Lecture 16
Adjacency matrix from to,
Markov property,
Transition or markov matrices
7  cards
Lecture 17
Pca what is it,
Pca how to overall,
Pca eq
14  cards
Lecture 18
Reduced svd,
Cost svd lu matmat,
Pca using svd
10  cards
Lecture 19
Correlation coefficient,
Linear least squares line,
Fitting a line t1 y1 tm ym
10  cards
Lecture 20
Data fitting y ax in general,
Condition number for normal equat...,
Svd to solve a square system ax b...
14  cards
Lecture 22
Interpolation vs data fitting,
Interpolation,
Basis functions
16  cards
Lecture 23
Bisection method,
Convergence iterative method,
Bisection method convergence
16  cards
Lecture 24
Jacobian matrix,
Newtons method multi dimensional ...,
Newtons method multi dimensional ...
6  cards
Final
Function x y n 1 2 3time e1 e2 e3...,
Function x y h e1 e2 e3error e1 e...,
Pseudo random numbers
51  cards

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CS 357

  • Class purpose General learning

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