Newton 基底から単項式基底への変換
(fps/newton-basis-to-monomial-basis.hpp)
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- Last update: 2026-07-15 18:17:55+09:00
- Include:
#include "fps/newton-basis-to-monomial-basis.hpp"
列 $a=(a_0,a_1,\dots,a_{n-1})$ と $p=(p_0,p_1,\dots,p_{n-1})$ に対し,
\[f(x)=\sum_{i=0}^{n-1}a_i\prod_{j=0}^{i-1}(x-p_j)\]の単項式基底での係数列を求める.p[n-1] は結果に影響しない.
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NewtonToMonomialBasis(a, p):Newton 基底の係数列aを単項式基底に変換する.$O(M(n)\log n)$ 時間. -
FallingFactorialToMonomialBasis(a):下降階乗基底 $x^{\underline i}=x(x-1)\cdots(x-i+1)$ から単項式基底に変換する.
アルゴリズム
区間 $[l,r)$ の係数列を左右に分け,$m=(l+r)/2$ として左右から復元した多項式を $f_0,f_1$ とすると,
\[f(x)=f_0(x)+\left(\prod_{i=l}^{m-1}(x-p_i)\right)f_1(x)\]で併合する.区間積は積木で求める.ここで $M(n)$ は次数 $n$ の多項式乗算の時間計算量を表す.
$p_i=i$ の場合は,第一種 Stirling 数 $s(i,k)$ を用いて
\[[x^k]f(x)=\sum_{i=k}^{n-1}a_is(i,k)\]と表し,$s(i,k)=\frac{i!}{k!}x^i^k$ に転置合成を適用する.任意 mod 畳み込みの場合は積木を用いる.NewtonToMonomialBasis(a, p) も $p_i=i$ を検出するとこの処理を行う.
Depends on
fps/formal-power-series.hpp
Power Projection
(fps/power-projection.hpp)
階乗, 二項係数
(modint/factorial.hpp)
Verified with
Code
#pragma once
#include "fps/formal-power-series.hpp"
#include "fps/power-projection.hpp"
#include "modint/factorial.hpp"
namespace newton_to_monomial_basis_internal {
template <class mint>
FormalPowerSeries<mint> BuildProductTree(vector<FormalPowerSeries<mint>>& prod, int k, int l, int r,
const vector<mint>& p) {
using fps = FormalPowerSeries<mint>;
if (r - l == 1) return prod[k] = fps{-p[l], 1};
int m = (l + r) / 2;
return prod[k] = BuildProductTree(prod, k * 2, l, m, p) * BuildProductTree(prod, k * 2 + 1, m, r, p);
}
template <class mint>
FormalPowerSeries<mint> Convert(const FormalPowerSeries<mint>& a,
const vector<FormalPowerSeries<mint>>& prod, int k, int l, int r) {
using fps = FormalPowerSeries<mint>;
if (r - l == 1) return fps{a[l]};
int m = (l + r) / 2;
fps left = Convert(a, prod, k * 2, l, m);
fps right = Convert(a, prod, k * 2 + 1, m, r);
return left + prod[k * 2] * right;
}
template <class mint>
FormalPowerSeries<mint> ConvertWithProductTree(const FormalPowerSeries<mint>& a, const vector<mint>& p) {
using fps = FormalPowerSeries<mint>;
int n = a.size();
if (n == 0) return {};
vector<fps> prod(4 * n);
BuildProductTree(prod, 1, 0, n, p);
return Convert(a, prod, 1, 0, n);
}
} // namespace newton_to_monomial_basis_internal
template <class mint>
FormalPowerSeries<mint> FallingFactorialToMonomialBasis(FormalPowerSeries<mint> a) {
using fps = FormalPowerSeries<mint>;
using fact = Factorial<mint>;
int n = a.size();
if (n <= 1) return a;
fps::set_ntt();
if (fps::ntt_ptr == nullptr) {
vector<mint> p(n);
for (int i = 0; i < n; i++) p[i] = i;
return newton_to_monomial_basis_internal::ConvertWithProductTree(a, p);
}
fps g(n);
for (int i = 1; i < n; i++) g[i] = fact::inv(i) * (i & 1 ? 1 : -1);
for (int i = 0; i < n; i++) a[i] *= fact::fact(i);
a = TransposedComposition(a, g, n);
for (int i = 0; i < n; i++) a[i] *= fact::fact_inv(i);
return a;
}
template <class mint>
FormalPowerSeries<mint> NewtonToMonomialBasis(const FormalPowerSeries<mint>& a, const vector<mint>& p) {
using fps = FormalPowerSeries<mint>;
assert(a.size() == p.size());
int n = a.size();
if (n == 0) return {};
bool consecutive = true;
for (int i = 0; i + 1 < n; i++) consecutive &= p[i] == mint(i);
if (consecutive) return FallingFactorialToMonomialBasis(FormalPowerSeries<mint>(a));
return newton_to_monomial_basis_internal::ConvertWithProductTree(a, p);
}
/**
* @brief Newton 基底から単項式基底への変換
* @docs docs/fps/newton-basis-to-monomial-basis.md
*/#line 2 "fps/formal-power-series.hpp"
template <class mint>
struct FormalPowerSeries : vector<mint> {
using vector<mint>::vector;
using FPS = FormalPowerSeries;
FormalPowerSeries(const vector<mint>& r) : vector<mint>(r) {}
FormalPowerSeries(vector<mint>&& r) : vector<mint>(std::move(r)) {}
FPS& operator=(const vector<mint>& r) {
vector<mint>::operator=(r);
return *this;
}
FPS& operator+=(const FPS& r) {
if (r.size() > this->size()) this->resize(r.size());
for (int i = 0; i < (int)r.size(); i++) (*this)[i] += r[i];
return *this;
}
FPS& operator+=(const mint& r) {
if (this->empty()) this->resize(1);
(*this)[0] += r;
return *this;
}
FPS& operator-=(const FPS& r) {
if (r.size() > this->size()) this->resize(r.size());
for (int i = 0; i < (int)r.size(); i++) (*this)[i] -= r[i];
return *this;
}
FPS& operator-=(const mint& r) {
if (this->empty()) this->resize(1);
(*this)[0] -= r;
return *this;
}
FPS& operator*=(const mint& v) {
for (int k = 0; k < (int)this->size(); k++) (*this)[k] *= v;
return *this;
}
FPS& operator/=(const FPS& r) {
if (this->size() < r.size()) {
this->clear();
return *this;
}
int n = this->size() - r.size() + 1;
if ((int)r.size() <= 64) {
FPS f(*this), g(r);
g.shrink();
mint coeff = g.at(g.size() - 1).inv();
for (auto& x : g) x *= coeff;
int deg = (int)f.size() - (int)g.size() + 1;
int gs = g.size();
FPS quo(deg);
for (int i = deg - 1; i >= 0; i--) {
quo[i] = f[i + gs - 1];
for (int j = 0; j < gs; j++) f[i + j] -= quo[i] * g[j];
}
*this = quo * coeff;
this->resize(n, mint(0));
return *this;
}
return *this = ((*this).rev().pre(n) * r.rev().inv(n)).pre(n).rev();
}
FPS& operator%=(const FPS& r) {
*this -= *this / r * r;
shrink();
return *this;
}
FPS operator+(const FPS& r) const { return FPS(*this) += r; }
FPS operator+(const mint& v) const { return FPS(*this) += v; }
FPS operator-(const FPS& r) const { return FPS(*this) -= r; }
FPS operator-(const mint& v) const { return FPS(*this) -= v; }
FPS operator*(const FPS& r) const { return FPS(*this) *= r; }
FPS operator*(const mint& v) const { return FPS(*this) *= v; }
FPS operator/(const FPS& r) const { return FPS(*this) /= r; }
FPS operator%(const FPS& r) const { return FPS(*this) %= r; }
FPS operator-() const {
FPS ret(this->size());
for (int i = 0; i < (int)this->size(); i++) ret[i] = -(*this)[i];
return ret;
}
void shrink() {
while (this->size() && this->back() == mint(0)) this->pop_back();
}
FPS rev() const {
FPS ret(*this);
reverse(begin(ret), end(ret));
return ret;
}
FPS dot(FPS r) const {
FPS ret(min(this->size(), r.size()));
for (int i = 0; i < (int)ret.size(); i++) ret[i] = (*this)[i] * r[i];
return ret;
}
FPS pre(int sz) const {
return FPS(begin(*this), begin(*this) + min((int)this->size(), sz));
}
FPS operator>>=(int sz) {
assert(sz >= 0);
if ((int)this->size() <= sz)
this->clear();
else
this->erase(this->begin(), this->begin() + sz);
return *this;
}
FPS operator>>(int sz) const {
if ((int)this->size() <= sz) return {};
FPS ret(*this);
ret.erase(ret.begin(), ret.begin() + sz);
return ret;
}
FPS operator<<=(int sz) {
assert(sz >= 0);
this->insert(this->begin(), sz, mint(0));
return *this;
}
FPS operator<<(int sz) const {
FPS ret(*this);
ret.insert(ret.begin(), sz, mint(0));
return ret;
}
FPS diff() const {
const int n = (int)this->size();
FPS ret(max(0, n - 1));
mint one(1), coeff(1);
for (int i = 1; i < n; i++) {
ret[i - 1] = (*this)[i] * coeff;
coeff += one;
}
return ret;
}
FPS integral() const {
const int n = (int)this->size();
FPS ret(n + 1);
ret[0] = mint(0);
if (n > 0) ret[1] = mint(1);
auto mod = mint::get_mod();
for (int i = 2; i <= n; i++) ret[i] = (-ret[mod % i]) * (mod / i);
for (int i = 0; i < n; i++) ret[i + 1] *= (*this)[i];
return ret;
}
mint eval(mint x) const {
mint r = 0, w = 1;
for (auto& v : *this) r += w * v, w *= x;
return r;
}
FPS log(int deg = -1) const {
assert((*this)[0] == mint(1));
if (deg == -1) deg = (int)this->size();
return (this->diff() * this->inv(deg)).pre(deg - 1).integral();
}
FPS pow(int64_t k, int deg = -1) const {
const int n = (int)this->size();
if (deg == -1) deg = n;
if (k == 0) {
FPS ret(deg);
if (deg) ret[0] = 1;
return ret;
}
for (int i = 0; i < n; i++) {
if ((*this)[i] != mint(0)) {
mint rev = mint(1) / (*this)[i];
FPS ret = (((*this * rev) >> i).log(deg) * k).exp(deg);
ret *= (*this)[i].pow(k);
ret = (ret << (i * k)).pre(deg);
if ((int)ret.size() < deg) ret.resize(deg, mint(0));
return ret;
}
if (__int128_t(i + 1) * k >= deg) return FPS(deg, mint(0));
}
return FPS(deg, mint(0));
}
static void* ntt_ptr;
static void set_ntt();
FPS& operator*=(const FPS& r);
FPS middle_product(const FPS& r) const;
void ntt();
void intt();
void ntt_doubling();
static int ntt_root();
FPS inv(int deg = -1) const;
FPS exp(int deg = -1) const;
};
template <typename mint>
void* FormalPowerSeries<mint>::ntt_ptr = nullptr;
#line 2 "modint/factorial.hpp"
template <class mint>
struct Factorial {
static void reserve(int n) {
inv(n);
fact(n);
fact_inv(n);
}
static mint inv(int n) {
static long long mod = mint::get_mod();
static vector<mint> buf({0, 1});
assert(n != 0);
if (mod != mint::get_mod()) {
mod = mint::get_mod();
buf = vector<mint>({0, 1});
}
while ((int)buf.capacity() <= n) buf.reserve(buf.capacity() * 2);
while ((int)buf.size() <= n) {
long long k = buf.size(), q = (mod + k - 1) / k;
buf.push_back(q * buf[k * q - mod]);
}
return buf[n];
}
static mint fact(int n) {
static long long mod = mint::get_mod();
static vector<mint> buf({1, 1});
assert(n >= 0);
if (mod != mint::get_mod()) {
mod = mint::get_mod();
buf = vector<mint>({1, 1});
}
while ((int)buf.capacity() <= n) buf.reserve(buf.capacity() * 2);
while ((int)buf.size() <= n) {
long long k = buf.size();
buf.push_back(buf.back() * k);
}
return buf[n];
}
static mint fact_inv(int n) {
static long long mod = mint::get_mod();
static vector<mint> buf({1, 1});
assert(n >= 0);
if (mod != mint::get_mod()) {
mod = mint::get_mod();
buf = vector<mint>({1, 1});
}
if ((int)buf.size() <= n) inv(n);
while ((int)buf.capacity() <= n) buf.reserve(buf.capacity() * 2);
while ((int)buf.size() <= n) {
long long k = buf.size();
buf.push_back(buf.back() * inv(k));
}
return buf[n];
}
static mint binom(int n, int r) {
if (r < 0 || r > n) return 0;
return fact(n) * fact_inv(r) * fact_inv(n - r);
}
static mint binom_naive(int n, int r) {
if (r < 0 || r > n) return 0;
mint res = fact_inv(r);
for (int i = 0; i < r; i++) res *= n - i;
return res;
}
static mint multinom(const vector<int>& r) {
int n = 0;
for (auto& x : r) {
if (x < 0) return 0;
n += x;
}
mint res = fact(n);
for (auto& x : r) res *= fact_inv(x);
return res;
}
static mint P(int n, int r) {
if (r < 0 || r > n) return 0;
return fact(n) * fact_inv(n - r);
}
// partition n items to r groups (allow empty group)
static mint H(int n, int r) {
if (n < 0 || r < 0) return 0;
return r == 0 ? 1 : binom(n + r - 1, r);
}
};
/**
* @brief 階乗, 二項係数
*/
#line 4 "fps/power-projection.hpp"
// transpose of composition
// [x^0]f(x^{-1})g(x)^i, i=0,...,n-1
// O(n(log n)^2)
template <class mint>
FormalPowerSeries<mint> TransposedComposition(FormalPowerSeries<mint> f, FormalPowerSeries<mint> g, int n) {
if (g[0] != 0) {
mint c = g[0];
g[0] = 0;
auto h1 = TransposedComposition(f, g, n);
using fact = Factorial<mint>;
for (int i = 0; i < n; i++) h1[i] *= fact::fact_inv(i);
FormalPowerSeries<mint> h2(n);
h2[0] = 1;
for (int i = 1; i < n; i++) h2[i] = h2[i - 1] * c;
for (int i = 0; i < n; i++) h2[i] *= fact::fact_inv(i);
h1 *= h2;
h1.resize(n);
for (int i = 0; i < n; i++) h1[i] *= fact::fact(i);
return h1;
}
int k = 1;
while (k < f.size() || k < n) k <<= 1;
int l = 1, m = 2 * k * l;
FormalPowerSeries<mint> P(m), Q(m);
for (int i = 0; i < f.size(); i++) P[k - 1 - i] = f[i];
for (int i = 0; i < g.size() && i < k; i++) Q[i] = -g[i];
int log = __builtin_ctz((unsigned int)m);
mint wi = mint(FormalPowerSeries<mint>::ntt_root()).inv().pow((mint::get_mod() - 1) >> (log + 1));
vector<int> rev(m);
for (int i = 0; i < rev.size(); i++) rev[i] = (rev[i / 2] / 2) | ((i & 1) << (log - 1));
vector<mint> pow(m, 1);
for (int i = 1; i < m; i++) pow[rev[i]] = pow[rev[i - 1]] * wi;
mint inv2 = mint(2).inv();
while (k > 1) {
P.resize(2 * m), P.ntt();
Q.resize(2 * m), Q.ntt();
for (int i = 0; i < m; i++) {
mint b = (i >> (log - 1)) == 0 ? 1 : -1;
int j = i << 1;
P[i] = pow[i] * (P[j] * (Q[j ^ 1] + b) - P[j ^ 1] * (Q[j] + b)) * inv2;
Q[i] = Q[j] * Q[j ^ 1] + (Q[j] + Q[j ^ 1]) * b;
}
P.resize(m), P.intt();
Q.resize(m), Q.intt();
k >>= 1, l <<= 1;
for (int i = k; i < k * 2; i++)
for (int j = 0; j < l; j++) {
P[i + j * k * 2] = 0;
Q[i + j * k * 2] = 0;
}
}
FormalPowerSeries<mint> P1(n);
for (int i = 0; i < n; i++) P1[i] = P[(l - 1 - i) * 2];
return P1;
}
// [x^k]f(x)g(x)^0,...,f(x)g(x)^(n-1)
// O((n+k)log^2(n+k))
template <class mint>
vector<mint> PowerProjection(FormalPowerSeries<mint> f, FormalPowerSeries<mint> g, int k, int n) {
assert(n >= 0 && k >= 0);
if (n == 0) return {};
f.resize(k + 1);
reverse(f.begin(), f.end());
return TransposedComposition(f, g, n);
}
/**
* @brief Power Projection
* @docs docs/fps/power-projection.md
*/
#line 5 "fps/newton-basis-to-monomial-basis.hpp"
namespace newton_to_monomial_basis_internal {
template <class mint>
FormalPowerSeries<mint> BuildProductTree(vector<FormalPowerSeries<mint>>& prod, int k, int l, int r,
const vector<mint>& p) {
using fps = FormalPowerSeries<mint>;
if (r - l == 1) return prod[k] = fps{-p[l], 1};
int m = (l + r) / 2;
return prod[k] = BuildProductTree(prod, k * 2, l, m, p) * BuildProductTree(prod, k * 2 + 1, m, r, p);
}
template <class mint>
FormalPowerSeries<mint> Convert(const FormalPowerSeries<mint>& a,
const vector<FormalPowerSeries<mint>>& prod, int k, int l, int r) {
using fps = FormalPowerSeries<mint>;
if (r - l == 1) return fps{a[l]};
int m = (l + r) / 2;
fps left = Convert(a, prod, k * 2, l, m);
fps right = Convert(a, prod, k * 2 + 1, m, r);
return left + prod[k * 2] * right;
}
template <class mint>
FormalPowerSeries<mint> ConvertWithProductTree(const FormalPowerSeries<mint>& a, const vector<mint>& p) {
using fps = FormalPowerSeries<mint>;
int n = a.size();
if (n == 0) return {};
vector<fps> prod(4 * n);
BuildProductTree(prod, 1, 0, n, p);
return Convert(a, prod, 1, 0, n);
}
} // namespace newton_to_monomial_basis_internal
template <class mint>
FormalPowerSeries<mint> FallingFactorialToMonomialBasis(FormalPowerSeries<mint> a) {
using fps = FormalPowerSeries<mint>;
using fact = Factorial<mint>;
int n = a.size();
if (n <= 1) return a;
fps::set_ntt();
if (fps::ntt_ptr == nullptr) {
vector<mint> p(n);
for (int i = 0; i < n; i++) p[i] = i;
return newton_to_monomial_basis_internal::ConvertWithProductTree(a, p);
}
fps g(n);
for (int i = 1; i < n; i++) g[i] = fact::inv(i) * (i & 1 ? 1 : -1);
for (int i = 0; i < n; i++) a[i] *= fact::fact(i);
a = TransposedComposition(a, g, n);
for (int i = 0; i < n; i++) a[i] *= fact::fact_inv(i);
return a;
}
template <class mint>
FormalPowerSeries<mint> NewtonToMonomialBasis(const FormalPowerSeries<mint>& a, const vector<mint>& p) {
using fps = FormalPowerSeries<mint>;
assert(a.size() == p.size());
int n = a.size();
if (n == 0) return {};
bool consecutive = true;
for (int i = 0; i + 1 < n; i++) consecutive &= p[i] == mint(i);
if (consecutive) return FallingFactorialToMonomialBasis(FormalPowerSeries<mint>(a));
return newton_to_monomial_basis_internal::ConvertWithProductTree(a, p);
}
/**
* @brief Newton 基底から単項式基底への変換
* @docs docs/fps/newton-basis-to-monomial-basis.md
*/