### Sum of Two Odd Composite Numbers

What is the largest even integer that cannot be written as the sum of two odd composite numbers? Source: AIME 1984, problem 14.

Note $$24 = 3\cdot 3 + 3\cdot 5$$, and so if $$2k$$ has a representation as the sum of even multiples of 3 and 5, say $$2k = e_3\cdot 3 + e_5\cdot 5$$, we get a representation of $$2k+24$$ as a sum of odd composites via $$2k+24 = (3+e_3)\cdot 3 + (5+e_5)\cdot 5$$. But by the Frobenius coin problem every number $$k > 3\cdot 5 -3-5 = 7$$ has such a representation, hence every number $$2k > 14$$ has a representation as the sum of even multiples of 3 and 5. Thus every number $$n > 24+14=38$$ has a representation as the sum of odd composites. Checking, we see that $$\boxed{38}$$ has no representation as a sum of odd composites.

### A Bayes' Solution to Monty Hall

For any problem involving conditional probabilities one of your greatest allies is Bayes' Theorem. Bayes' Theorem says that for two events A and B, the probability of A given B is related to the probability of B given A in a specific way.

Standard notation:

probability of A given B is written $$\Pr(A \mid B)$$
probability of B is written $$\Pr(B)$$

Bayes' Theorem:

Using the notation above, Bayes' Theorem can be written: $\Pr(A \mid B) = \frac{\Pr(B \mid A)\times \Pr(A)}{\Pr(B)}$Let's apply Bayes' Theorem to the Monty Hall problem. If you recall, we're told that behind three doors there are two goats and one car, all randomly placed. We initially choose a door, and then Monty, who knows what's behind the doors, always shows us a goat behind one of the remaining doors. He can always do this as there are two goats; if we chose the car initially, Monty picks one of the two doors with a goat behind it at random.

Assume we pick Door 1 and then Monty sho…

### Notes on Setting up a Titan V under Ubuntu 17.04

I recently purchased a Titan V GPU to use for machine and deep learning, and in the process of installing the latest Nvidia driver's hosed my Ubuntu 16.04 install. I was overdue for a fresh install of Linux, anyway, so I decided to upgrade some of my drives at the same time. Here are some of my notes for the process I went through to get the Titan V working perfectly with TensorFlow 1.5 under Ubuntu 17.04.

Old install:
Ubuntu 16.04
EVGA GeForce GTX Titan SuperClocked 6GB
2TB Seagate NAS HDD

New install:
Ubuntu 17.04
Titan V 12GB
/ partition on a 250GB Samsung 840 Pro SSD (had an extra around)
/home partition on a new 1TB Crucial MX500 SSD
New WD Blue 4TB HDD