egttools.calculate_expected_state_indicators¶
- calculate_expected_state_indicators()¶
Calculate E[f_k] = sum_s sd(s) * f_k(s) for multiple state-level indicators in one pass.
Iterates over non-zero states in the stationary distribution exactly once, evaluating all indicators at each state. Cost: O(nb_nonzero_states * K) where K is the number of indicators.
- Parameters:
pop_size (int) – Total number of individuals in the population.
nb_strategies (int) – Number of strategies available in the population.
stationary_distribution (scipy.sparse.csr_matrix) – Sparse stationary distribution over population states.
indicators (list[callable]) – List of functions, each mapping a population state (list[int]) to a float.
- Returns:
Vector of length len(indicators) with the expected value of each indicator.
- Return type: