from scipy.sparse.csgraph import dijkstra
from scipy.sparse import csr_matrix

N, V, Ox, Oy = map(int, input().split())
L = [tuple(map(int, input().split())) for _ in range(N)]

data, row, col = [], [], []
for y in range(N):
    for x in range(N):
        for dx, dy in ((1, 0), (-1, 0), (0, 1), (0, -1)):
            if 0 <= x + dx < N and 0 <= y + dy < N:
                data.append(L[y][x])
                row.append((y + dy) * N + x + dx)
                col.append(y * N + x)

matr = csr_matrix((data, (row, col)), shape=(N * N, N * N))
way = dijkstra(matr, indices=0).astype(int)

flag = way[N * N - 1] < V
if (Ox, Oy) != (0, 0):
    oasis = (Oy - 1) * N + Ox - 1
    lo = way[oasis]
    if lo < V:
        wayo = dijkstra(matr, indices=oasis).astype(int)
        flag |= wayo[N * N - 1] < (V - lo) * 2
print('YES' if flag else 'NO')