### Multivariable Calculus and Encryption Challenge

Posted:

**Sat Nov 28, 2009 1:21 pm**Challenge:

Part 1

f(x,y) = (x^2)*(2^y)

Determine the magnitude of the gradient vector of the given function f(x,y) at the point P where x=1337 and y=8.

Symbol Notation:|grad(f(1337,8))|

Truncate (floor) the decimal point once you have found the magnitude of the gradient vector (i.e. the key)

What the hell is a gradient?

This much for a hint I will give. The gradient vector arises in many situations as finding the tangent plane to a surface at a given point, Determining the Normal vector (i.e. orthogonal vector) at a given point, etc. The most basic article of information provided by the gradient vector of a function is the direction it points is always to the maximum of the function. If you follow the direction of the gradient it will lead you to the local maximum of the function.

Part 2

The answer that you've discovered in part1 is also the key to a blowfish encryption algorithm. Here is the encrypted message

ca1c622b4cde4c59afaaf5e018d121b5

d142079cb7a7765bafbb8bfaa254f068

210f7a8f30af2febf287d466b18702b8

3c1e3c5a034908d2

Part 2 mission is to crack the message with the determined answer of part 1

Rulez:

For full credit the rulez must apply

1. Show you're work (this means providing a substantial mathematical calculations)

Part 1

f(x,y) = (x^2)*(2^y)

Determine the magnitude of the gradient vector of the given function f(x,y) at the point P where x=1337 and y=8.

Symbol Notation:|grad(f(1337,8))|

Truncate (floor) the decimal point once you have found the magnitude of the gradient vector (i.e. the key)

What the hell is a gradient?

This much for a hint I will give. The gradient vector arises in many situations as finding the tangent plane to a surface at a given point, Determining the Normal vector (i.e. orthogonal vector) at a given point, etc. The most basic article of information provided by the gradient vector of a function is the direction it points is always to the maximum of the function. If you follow the direction of the gradient it will lead you to the local maximum of the function.

Part 2

The answer that you've discovered in part1 is also the key to a blowfish encryption algorithm. Here is the encrypted message

ca1c622b4cde4c59afaaf5e018d121b5

d142079cb7a7765bafbb8bfaa254f068

210f7a8f30af2febf287d466b18702b8

3c1e3c5a034908d2

Part 2 mission is to crack the message with the determined answer of part 1

Rulez:

For full credit the rulez must apply

1. Show you're work (this means providing a substantial mathematical calculations)