How to solve a Quadratic Programming problem with large number of variables using SciPy

[Nandy]

Hi,

I am new to Scipy. I need to solve a quadratic program with large number of variables (eg: 100 variables). How can I do this using Scipy? The problem that I want to solve is shown below.

Minimize

Σ ( d(t) + x(t) )²        ; t=1, ....., 100

such that,

0<= x(t) <= 10
Σ x(t) = 600

Here, d(t) is known for t=(1, ...,100), and x(t) for t=(1, ...,100) are the decision variables.

 

Your advices are highly appreciated.

Cheers !!!