Mathematica 2015

3

5.0 25.0 25.0 05.0 8.0 15.0 025 .0 075 .0 9.0

    

    

010

3

16125 .0 37125 .0 4675 .0 07425 .0 56825 .0 3575 .0 04675 .0 17875 .0 7745 .0

    

    

010

07425 .0 56825 .0 3575 .0

You simply multiply the position matrix 

 010 by 3 Pr .

3 Pr , I will demonstrate the matrix

To be more illustrative with the working of

2 Pr :

algorithm in

2

5.0 25.0 25.0 05.0 8.0 15.0 025 .0 075 .0 9.0

    

    

For the sum of first row first column:

25.0 025 .0 15.0 075 .09.09.0      . This

th

n )2 (  state, given that on the

means the possibility of having a south wind on

th n state is a south wind.

2 Pr will be the possibility of having a certain

Following the same algorithm,

th n state is a certain

th

n )2 (  state, given that on the

direction of wind on

direction of wind. Thus, if you plug in the position matrix, the possibility

th mn )

( 

distribution of each direction of wind on

state will be displayed.

Now our general formula can be concluded:

th mn )

( 

On the

day of the voyage, the distribution of the directions of wind

should be

m Pr

Position matrix ×

Shackleton is not really sure about how many days exactly they will reach Antarctica, thus he wants to work out the probability distribution in a very long term, i.e. when total number of days tend to infinity.

14

Made with FlippingBook - Online Brochure Maker