def samples_multidimensional_uniform(bounds,num_data):
    '''
    Generates a multidimensional grid uniformly distributed.
    :param bounds: tuple defining the box constraints.
    :num_data: number of data points to generate.

    '''
    dim = len(bounds)
    Z_rand = np.zeros(shape=(num_data,dim))
    for k in range(0,dim): Z_rand[:,k] = np.random.uniform(low=bounds[k][0],high=bounds[k][1],size=num_data)
    return Z_rand
Generates a multidimensional grid uniformly distributed.
    :param bounds: tuple defining the box constraints.
    :num_data: number of data points to generate.