This class contains various metrics regarding the problem size.
class
SizeMetrics(problem)
Arguments
problem: A Problem object.
Slots
num_scalar_variables: The number of scalar variables in the problem.
num_scalar_data: The number of constants used across all matrices and vectors in the problem. Some constants are not apparent when the problem is constructed. For example, the sum_squares expression is a wrapper for a quad_over_lin expression with a constant 1 in the denominator.
num_scalar_eq_constr: The number of scalar equality constraints in the problem.
num_scalar_leq_constr: The number of scalar inequality constraints in the problem.
max_data_dimension: The longest dimension of any data block constraint or parameter.
max_big_small_squared: The maximum value of (big)(small)^2 over all data blocks of the problem, where (big) is the larger dimension and (small) is the smaller dimension for each data block.