Week 8 Flashcards

1
Q

Binomial coefficient

A
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2
Q

Probability distribution of Monte Carlo method

A

For p1 = s1/(s1 + s2) and p2 = s2/(s1+s2)

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3
Q

Convergence rate of Monte Carlo method

A

1/sqrt(N)

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4
Q

RV for mont Carlo method

A

α = n/N

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5
Q

What is expectation value for Monte Carlo

A
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6
Q

Error in Monte Carlo in terms of α

A
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7
Q

MGF for Monte carlo

A
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8
Q

Use MGF of Monte Carlo to show error

A
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9
Q

Standard formula for exponential limit

A
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10
Q

Limit of MGF of Monte Carlo

A
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11
Q

Stirling’s approximation of factorial

A

m! ~ m^m

For large m

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12
Q

Use stirlings approximation of factorial on Pn(N>

A
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13
Q

How to do shooting method

A

Where boundary conditions y(a) = α and y(b) = β are imposed on an IVP

Where β = y(b) = g(u)

1) use Euler/RK to solve with one boundary condition
2) use secant to find solution that connects with other boundary

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14
Q

Define a first order differential equation for a vector of functions of a single variable

A
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15
Q

Write an n order ODE as a vector

A
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16
Q

How to equate an n’th order ODE to a first order ODE of a vector of n functions

A
17
Q

Theory of Euler method

A

Approximate deriv by:

y’(x) ~ (y(x+h)-y(x))/h

Then solve recursively for xi = a + ih

Where y(a+ih) =: y, i = 0,1,2,…

Then

18
Q

Correct Euler method to include error

A
19
Q

Fundamental difference between Euler and Runge Kutta

A

Express y(x+h) in terms of y(x) and its derivatives by Taylor series

20
Q

Runge Kutta method and derivation

A

Using the Taylor series exp of y(x+h) up to 2nd deriv

21
Q

4th order Runge Kutta

A