Created
December 18, 2018 18:40
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template code library
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using vec = vector<ll>; | |
using mat = vector<vec>; | |
mat get_I(int n) { | |
mat res(n, vec(n)); | |
for (int i = 0; i < n; i++) | |
res[i][i] = 1; | |
return res; | |
} | |
mat operator*(const mat &a, const mat &b) { | |
mat c(a.size(), vec(b[0].size())); | |
for (size_t i = 0; i < a.size(); i++) { | |
for (size_t j = 0; j < a[0].size(); j++) { | |
if (a[i][j]) { // optimization for sparse matrix | |
for (size_t k = 0; k < b[0].size(); k++) { | |
add_mod(c[i][k], a[i][j] * b[j][k] % mod); | |
} | |
} | |
} | |
} | |
return c; | |
} | |
vec operator*(const mat &a, const vec &b) { | |
vec c(a.size()); | |
for (size_t i = 0; i < a.size(); i++) { | |
for (size_t j = 0; j < a[0].size(); j++) { | |
add_mod(c[i], a[i][j] * b[j] % mod); | |
} | |
} | |
return c; | |
} | |
mat pow(mat a, ll n) { | |
mat res(a.size(), vec(a[0].size())); | |
for (size_t i = 0; i < a.size(); i++) { | |
res[i][i] = 1; | |
} | |
while (n) { | |
if (n & 1) { | |
res = res * a; | |
} | |
a = a * a; | |
n >>= 1; | |
} | |
return res; | |
} |
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