import numpy as np
import itertools

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

pow_table = (K ** np.arange(H * W, dtype=np.int32)).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))
    g4 = np.tile(grid, (2, 2))
    for h, w in itertools.product(range(H), range(W)):
        if pow_hash(g4[h:h + H, w:w + W].data) in st:
            break
    else:
        st.add(pow_hash(grid))
print(len(st))