1/22
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
Gillespies algorithm (SSA)
Stochastic method
Monte Carlo Integration
Stochastic method
Monte Carlo algorithm
Stochastic method
QR-iteration
Deterministic method
Power method
Deterministic method
Backwards Substitution
Deterministic method
Householder algorithm
Deterministic method
Least squares problem min ||Ax - b||
Deterministic model
R -> 2R
Stochastic model
R + F -> 2F
Stochastic model
F -> empty
Stochastic model
A + R -> C
Stochastic model
Assume all quantities to be integers
Stochastic model
F and R integer-valued
Stochastic model
B(t) is a Brownian motion
Stochastic model
dX(t) = u(X(t),t)dt + sqrt(2D)dB(t)
Stochastic model
dF/dt = betaFR - gammaF
Deterministic model
dR/dt = alphaR - betaFR
Deterministic model
dx/dt = alphax - betax*y
Deterministic model
F and R real-valued
Deterministic model
Matrix A and vector b are given and fixed
Deterministic model
Integral of x^2 * e^(-x^2/2) dx
Deterministic model
Double integral f(x,y,z) dx dy dz
Deterministic model