import numba
import numpy as np
N = int(input())
P = np.array([int(c)-1 for c in input().split()])

#from random import shuffle
#N = 500
#P = list(range(N*N))
#shuffle(P)
#P = np.array(P)

@numba.njit("void(i8,i8[:])")
def proc(N, P):
    ans = 0
    Removed = np.zeros((500, 500), dtype=np.int8)
    Mat = np.zeros((500, 500), dtype=np.int16)
    Dy, Dx = [1,0,-1,0], [0,1,0,-1]

    for y in range(N):
        for x in range(N):
            Mat[y, x] = min(y, N-1-y, x, N-1-x)
    #print(Mat)
    for i in range(N*N):
        p = P[i]
        y, x = divmod(p, N)
        ans += Mat[y,x]
        Removed[y,x] = 1
        st = [(y, x)]
        while st:
            vy, vx = st.pop()
            vr = Removed[vy,vx]
            val = Mat[vy,vx]
            #for dy, dx in zip(Dy, Dx):
            for j in range(4):
                uy, ux = vy + Dy[j], vs + Dx[j]
                if not (0<=uy<N and 0<=ux<N):
                    continue
                ur = Removed[uy,ux]
                if vr:
                    if Mat[uy,ux] >= val+1:
                        Mat[uy,ux] = val
                        st.append((uy, ux))
                else:
                    if Mat[uy,ux] >= val+2:
                        Mat[uy,ux] = val+1
                        st.append((uy, ux))
    # for m in Mat:
    #     print(m)
    print(ans)
proc(N, P)

