def numeric(self, values):
"""Returns the largest eigenvalue of A.
Requires that A be symmetric.
"""
eigs = LA.eigvalsh(values[0])
return sum_largest(eigs, self.k).value
def sum_smallest(x, k):
"""Sum of the smallest k values.
"""
x = Expression.cast_to_const(x)
return -sum_largest(-x, k)
def sum_smallest(x, k):
"""Sum of the smallest k values.
"""
x = Expression.cast_to_const(x)
return -sum_largest(-x, k)