Created
February 6, 2014 18:53
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def max_contiguous_submatrix_n3(m) | |
rows = m.count | |
cols = rows ? m.first.count : 0 | |
vps = Array.new(rows) | |
for i in 0..rows | |
vps[i] = Array.new(cols, 0) | |
end | |
for j in 0...cols | |
vps[0][j] = m[0][j] | |
for i in 1...rows | |
vps[i][j] = vps[i-1][j] + m[i][j] | |
end | |
end | |
max = [m[0][0],0,0,0,0] | |
sum = Array.new(cols) | |
pos = Array.new(cols) | |
for i in 0...rows | |
for k in i...rows | |
sum.fill(0) | |
pos.fill(0) | |
local_max = 0 | |
sum[0] = vps[k][0] - (i==0 ? 0 : vps[i-1][0]) | |
for j in 1...cols | |
value = vps[k][j] - (i==0 ? 0 : vps[i-1][j]) | |
if sum[j-1] > 0 | |
sum[j] = sum[j-1] + value | |
pos[j] = pos[j-1] | |
else | |
sum[j] = value | |
pos[j] = j | |
end | |
if sum[j] > sum[local_max] | |
local_max = j | |
end | |
end | |
if sum[local_max] > max[0] | |
max = [sum[local_max], i, pos[local_max], k, local_max] | |
end | |
end | |
end | |
return max | |
end |
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