Berlekamp Massey
 - Last update: 2024-02-06

Berlekamp Massey

const int MOD = 1e9 + 7; // 소수여야 함
int ipow(int x, int p){
int ret = 1, piv = x;
while(p){
if(p & 1) ret = ret * piv % MOD;
piv = piv * piv % MOD;
p >>= 1;
}
return ret;
}
vector<int> berlekamp_massey(vector<int> x) {
vector<int> ls, cur;
int lf, ld;
for (int i = 0; i < x.size(); i++) {
ll t = 0;
for (int j = 0; j < cur.size(); j++) {
t = (t + 1ll * x[i - j - 1] * cur[j]) % MOD;
}
if ((t - x[i]) % MOD == 0) continue;
if (cur.empty()) {
cur.resize(i + 1);
lf = i;
ld = (t - x[i]) % MOD;
continue;
}
ll k = -(x[i] - t) * ipow(ld, MOD - 2) % MOD;
vector<int> c(i - lf - 1);
c.push_back(k);
for (auto& j : ls) c.push_back(-j * k % MOD);
if (c.size() < cur.size()) c.resize(cur.size());
for (int j = 0; j < cur.size(); j++) {
c[j] = (c[j] + cur[j]) % MOD;
}
if (i - lf + (int)ls.size() >= (int)cur.size()) {
tie(ls, lf, ld) = make_tuple(cur, i, (t - x[i]) % MOD);
}
cur = c;
}
for (auto& i : cur) i = (i % MOD + MOD) % MOD;
return cur;
}
int get_nth(vector<int> rec, vector<int> dp, ll n) {
int m = rec.size();
vector<int> s(m), t(m);
s[0] = 1;
if (m != 1) t[1] = 1;
else t[0] = rec[0];
auto mul = [&rec](vector<int> v, vector<int> w) {
int m = v.size();
vector<int> t(2 * m);
for (int j = 0; j < m; j++) {
for (int k = 0; k < m; k++) {
t[j + k] += 1ll * v[j] * w[k] % MOD;
if (t[j + k] >= MOD) t[j + k] -= MOD;
}
}
for (int j = 2 * m - 1; j >= m; j--) {
for (int k = 1; k <= m; k++) {
t[j - k] += 1ll * t[j] * rec[k - 1] % MOD;
if (t[j - k] >= MOD) t[j - k] -= MOD;
}
}
t.resize(m);
return t;
};
while (n) {
if (n & 1) s = mul(s, t);
t = mul(t, t);
n >>= 1;
}
ll ret = 0;
for (int i = 0; i < m; i++) ret += 1ll * s[i] * dp[i] % MOD;
return ret % MOD;
}
int guess_nth_term(vector<int> x, ll n) {
if (n < x.size()) return x[n];
vector<int> v = berlekamp_massey(x);
if (v.empty()) return 0;
return get_nth(v, x, n);
}
  • long long 범위의 결과가 필요할 때는 아래 코드 사용
const ll MOD = 1'000'000'000'000'000'009LL; // 소수여야 함
ll ipow(ll x, ll p){
ll ret = 1, piv = x;
while(p){
if(p & 1) ret = ret * piv % MOD;
piv = piv * piv % MOD;
p >>= 1;
}
return ret;
}
vector<ll> berlekamp_massey(vector<ll> x) {
vector<ll> ls, cur;
ll lf, ld;
for (int i = 0; i < x.size(); i++) {
ll t = 0;
for (int j = 0; j < cur.size(); j++) {
t = (t + 1ll * x[i - j - 1] * cur[j]) % MOD;
}
if ((t - x[i]) % MOD == 0) continue;
if (cur.empty()) {
cur.resize(i + 1);
lf = i;
ld = (t - x[i]) % MOD;
continue;
}
ll k = -(x[i] - t) * ipow(ld, MOD - 2) % MOD;
vector<ll> c(i - lf - 1);
c.push_back(k);
for (auto& j : ls) c.push_back(-j * k % MOD);
if (c.size() < cur.size()) c.resize(cur.size());
for (int j = 0; j < cur.size(); j++) {
c[j] = (c[j] + cur[j]) % MOD;
}
if (i - lf + (int)ls.size() >= (int)cur.size()) {
tie(ls, lf, ld) = make_tuple(cur, i, (t - x[i]) % MOD);
}
cur = c;
}
for (auto& i : cur) i = (i % MOD + MOD) % MOD;
return cur;
}
ll get_nth(vector<ll> rec, vector<ll> dp, ll n) {
int m = rec.size();
vector<ll> s(m), t(m);
s[0] = 1;
if (m != 1) t[1] = 1;
else t[0] = rec[0];
auto mul = [&rec](vector<ll> v, vector<ll> w) {
int m = v.size();
vector<ll> t(2 * m);
for (int j = 0; j < m; j++) {
for (int k = 0; k < m; k++) {
t[j + k] += 1ll * v[j] * w[k] % MOD;
if (t[j + k] >= MOD) t[j + k] -= MOD;
}
}
for (int j = 2 * m - 1; j >= m; j--) {
for (int k = 1; k <= m; k++) {
t[j - k] += 1ll * t[j] * rec[k - 1] % MOD;
if (t[j - k] >= MOD) t[j - k] -= MOD;
}
}
t.resize(m);
return t;
};
while (n) {
if (n & 1) s = mul(s, t);
t = mul(t, t);
n >>= 1;
}
ll ret = 0;
for (int i = 0; i < m; i++) ret += 1ll * s[i] * dp[i] % MOD;
return ret % MOD;
}
ll guess_nth_term(vector<ll> x, ll n) {
if (n < x.size()) return x[n];
vector<ll> v = berlekamp_massey(x);
if (v.empty()) return 0;
return get_nth(v, x, n);
}