import numpy as np
import itertools

H, W, K = map(int, input().split())

pow_table = (K ** np.arange(H * W)).reshape((H, W))
pow_hash = lambda x: np.sum(x * pow_table)

st = set()
for t in itertools.product(range(K), repeat=H * W):
    if len(set(t)) != K:
        continue
    grid = np.array(t).reshape((H, W))
    for h, w in itertools.product(range(H), range(W)):
        if pow_hash(np.roll(grid, (h, w), axis=(0, 1))) in st:
            break
    else:
        st.add(pow_hash(grid))
print(len(st))