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#include "fft_doubling.hpp"
Given $\operatorname{\mathsf{FFT}} _ n(A(x))$ and $A(x)$, we want to compute $\operatorname{\mathsf{FFT}} _ {2n}(A(x))$. With the definition of FFT, we know that the left half of $\operatorname{\mathsf{FFT}} _ {2n}(A(x))$ equals $\operatorname{\mathsf{FFT}} _ n(A(x))$. And the right half is just $\operatorname{\mathsf{FFT}} _ n(A(\zeta _ {2n}x))$. If we don’t know $A(x)$, we should ensure that $\deg A\lt n$ since we can only restore $A(x)\bmod{\left(x^{n}-1\right)}$.
\[\begin{array}{ll} &\textbf{Algorithm }\operatorname{\mathsf{FFTDoubling}}\text{:} \\ &\textbf{Input}\text{: }\begin{bmatrix} A(1) & A(-1) & \cdots & A\left(\zeta_n^{n-1}\right) \end{bmatrix},n\text{ is a power of }2,\deg A\lt n\text{.} \\ &\textbf{Output}\text{: }\begin{bmatrix} A(1) & A(-1) & \cdots & A\left(\zeta_{2n}^{2n-1}\right)\end{bmatrix}\text{.} \\ 1&A(x)\gets \operatorname{\mathsf{IFFT}}_n\left(\begin{bmatrix} A(1) & A(-1) & \cdots & A\left(\zeta_n^{n-1}\right) \end{bmatrix}\right) \\ 2&\begin{bmatrix} A\left(\zeta_{2n}\right) & A\left(-\zeta_{2n}\right) & \cdots & A\left(\zeta_{2n}^{2n-1}\right)\end{bmatrix} \gets \operatorname{\mathsf{FFT}}_n\left(A\left(\zeta_{2n}x\right)\right) \\ 3&\textbf{return }\begin{bmatrix} A(1) & A(-1) & \cdots & A\left(\zeta_{n}^{n-1}\right) & A\left(\zeta_{2n}\right) & A\left(-\zeta_{2n}\right) & \cdots & A\left(\zeta_{2n}^{2n-1}\right)\end{bmatrix} \end{array}\]Example: If we are given $A(1),A(-1)$ and $\deg A\lt 2$, and we want to compute $A(\mathrm{i}),A(\mathrm{-i})$ since $\zeta _ 2=-1,\zeta _ 4=\mathrm{i}$ apparently.
#pragma once
#include "fft.hpp"
#include <algorithm>
#include <cassert>
#include <iterator>
#include <vector>
template<typename Iterator> inline void fft_doubling_n(Iterator a, int n) {
using Tp = typename std::iterator_traits<Iterator>::value_type;
assert((n & (n - 1)) == 0);
std::copy_n(a, n, a + n);
inv_fft_n(a + n, n);
Tp k = 1;
const auto t = FftInfo<Tp>::get().root(n).at(n / 2);
for (int i = 0; i < n; ++i) a[i + n] *= k, k *= t;
fft_n(a + n, n);
}
template<typename Tp> inline void fft_doubling(std::vector<Tp> &a) {
const int n = a.size();
a.resize(n * 2);
fft_doubling_n(a.begin(), n);
}
#line 2 "fft_doubling.hpp"
#line 2 "fft.hpp"
#include <algorithm>
#include <cassert>
#include <iterator>
#include <memory>
#include <vector>
template<typename Tp> class FftInfo {
static Tp least_quadratic_nonresidue() {
for (int i = 2;; ++i)
if (Tp(i).pow((Tp::mod() - 1) / 2) == -1) return Tp(i);
}
const int ordlog2_;
const Tp zeta_;
const Tp invzeta_;
const Tp imag_;
const Tp invimag_;
mutable std::vector<Tp> root_;
mutable std::vector<Tp> invroot_;
FftInfo()
: ordlog2_(__builtin_ctzll(Tp::mod() - 1)),
zeta_(least_quadratic_nonresidue().pow((Tp::mod() - 1) >> ordlog2_)),
invzeta_(zeta_.inv()), imag_(zeta_.pow(1LL << (ordlog2_ - 2))), invimag_(-imag_),
root_{Tp(1), imag_}, invroot_{Tp(1), invimag_} {}
public:
static const FftInfo &get() {
static FftInfo info;
return info;
}
Tp imag() const { return imag_; }
Tp inv_imag() const { return invimag_; }
Tp zeta() const { return zeta_; }
Tp inv_zeta() const { return invzeta_; }
const std::vector<Tp> &root(int n) const {
// [0, n)
assert((n & (n - 1)) == 0);
if (const int s = root_.size(); s < n) {
root_.resize(n);
for (int i = __builtin_ctz(s); (1 << i) < n; ++i) {
const int j = 1 << i;
root_[j] = zeta_.pow(1LL << (ordlog2_ - i - 2));
for (int k = j + 1; k < j * 2; ++k) root_[k] = root_[k - j] * root_[j];
}
}
return root_;
}
const std::vector<Tp> &inv_root(int n) const {
// [0, n)
assert((n & (n - 1)) == 0);
if (const int s = invroot_.size(); s < n) {
invroot_.resize(n);
for (int i = __builtin_ctz(s); (1 << i) < n; ++i) {
const int j = 1 << i;
invroot_[j] = invzeta_.pow(1LL << (ordlog2_ - i - 2));
for (int k = j + 1; k < j * 2; ++k) invroot_[k] = invroot_[k - j] * invroot_[j];
}
}
return invroot_;
}
};
inline int fft_len(int n) {
--n;
n |= n >> 1, n |= n >> 2, n |= n >> 4, n |= n >> 8;
return (n | n >> 16) + 1;
}
namespace detail {
template<typename Iterator> inline void
butterfly_n(Iterator a, int n,
const std::vector<typename std::iterator_traits<Iterator>::value_type> &root) {
assert(n > 0);
assert((n & (n - 1)) == 0);
const int bn = __builtin_ctz(n);
if (bn & 1) {
for (int i = 0; i < n / 2; ++i) {
const auto a0 = a[i], a1 = a[i + n / 2];
a[i] = a0 + a1, a[i + n / 2] = a0 - a1;
}
}
for (int i = n >> (bn & 1); i >= 4; i /= 4) {
const int i4 = i / 4;
for (int k = 0; k < i4; ++k) {
const auto a0 = a[k + i4 * 0], a1 = a[k + i4 * 1];
const auto a2 = a[k + i4 * 2], a3 = a[k + i4 * 3];
const auto a02p = a0 + a2, a02m = a0 - a2;
const auto a13p = a1 + a3, a13m = (a1 - a3) * root[1];
a[k + i4 * 0] = a02p + a13p, a[k + i4 * 1] = a02p - a13p;
a[k + i4 * 2] = a02m + a13m, a[k + i4 * 3] = a02m - a13m;
}
for (int j = i, m = 2; j < n; j += i, m += 2) {
const auto r = root[m], r2 = r * r, r3 = r2 * r;
for (int k = j; k < j + i4; ++k) {
const auto a0 = a[k + i4 * 0], a1 = a[k + i4 * 1] * r;
const auto a2 = a[k + i4 * 2] * r2, a3 = a[k + i4 * 3] * r3;
const auto a02p = a0 + a2, a02m = a0 - a2;
const auto a13p = a1 + a3, a13m = (a1 - a3) * root[1];
a[k + i4 * 0] = a02p + a13p, a[k + i4 * 1] = a02p - a13p;
a[k + i4 * 2] = a02m + a13m, a[k + i4 * 3] = a02m - a13m;
}
}
}
}
template<typename Iterator> inline void
inv_butterfly_n(Iterator a, int n,
const std::vector<typename std::iterator_traits<Iterator>::value_type> &root) {
assert(n > 0);
assert((n & (n - 1)) == 0);
const int bn = __builtin_ctz(n);
for (int i = 4; i <= (n >> (bn & 1)); i *= 4) {
const int i4 = i / 4;
for (int k = 0; k < i4; ++k) {
const auto a0 = a[k + i4 * 0], a1 = a[k + i4 * 1];
const auto a2 = a[k + i4 * 2], a3 = a[k + i4 * 3];
const auto a01p = a0 + a1, a01m = a0 - a1;
const auto a23p = a2 + a3, a23m = (a2 - a3) * root[1];
a[k + i4 * 0] = a01p + a23p, a[k + i4 * 1] = a01m + a23m;
a[k + i4 * 2] = a01p - a23p, a[k + i4 * 3] = a01m - a23m;
}
for (int j = i, m = 2; j < n; j += i, m += 2) {
const auto r = root[m], r2 = r * r, r3 = r2 * r;
for (int k = j; k < j + i4; ++k) {
const auto a0 = a[k + i4 * 0], a1 = a[k + i4 * 1];
const auto a2 = a[k + i4 * 2], a3 = a[k + i4 * 3];
const auto a01p = a0 + a1, a01m = a0 - a1;
const auto a23p = a2 + a3, a23m = (a2 - a3) * root[1];
a[k + i4 * 0] = a01p + a23p, a[k + i4 * 1] = (a01m + a23m) * r;
a[k + i4 * 2] = (a01p - a23p) * r2, a[k + i4 * 3] = (a01m - a23m) * r3;
}
}
}
if (bn & 1) {
for (int i = 0; i < n / 2; ++i) {
const auto a0 = a[i], a1 = a[i + n / 2];
a[i] = a0 + a1, a[i + n / 2] = a0 - a1;
}
}
}
} // namespace detail
// FFT_n: A(x) |-> bit-reversed order of [A(1), A(zeta_n), ..., A(zeta_n^(n-1))]
template<typename Iterator> inline void fft_n(Iterator a, int n) {
using Tp = typename std::iterator_traits<Iterator>::value_type;
detail::butterfly_n(a, n, FftInfo<Tp>::get().root(n / 2));
}
template<typename Tp> inline void fft(std::vector<Tp> &a) { fft_n(a.begin(), a.size()); }
// IFFT_n: bit-reversed order of [A(1), A(zeta_n), ..., A(zeta_n^(n-1))] |-> A(x)
template<typename Iterator> inline void inv_fft_n(Iterator a, int n) {
using Tp = typename std::iterator_traits<Iterator>::value_type;
detail::inv_butterfly_n(a, n, FftInfo<Tp>::get().inv_root(n / 2));
const Tp iv = Tp::mod() - (Tp::mod() - 1) / n;
for (int i = 0; i < n; ++i) a[i] *= iv;
}
template<typename Tp> inline void inv_fft(std::vector<Tp> &a) { inv_fft_n(a.begin(), a.size()); }
// IFFT_n^T: A(x) |-> 1/n FFT_n((x^n A(x^(-1))) mod (x^n - 1))
template<typename Iterator> inline void transposed_inv_fft_n(Iterator a, int n) {
using Tp = typename std::iterator_traits<Iterator>::value_type;
const Tp iv = Tp::mod() - (Tp::mod() - 1) / n;
for (int i = 0; i < n; ++i) a[i] *= iv;
detail::butterfly_n(a, n, FftInfo<Tp>::get().inv_root(n / 2));
}
template<typename Tp> inline void transposed_inv_fft(std::vector<Tp> &a) {
transposed_inv_fft_n(a.begin(), a.size());
}
// FFT_n^T : FFT_n((x^n A(x^(-1))) mod (x^n - 1)) |-> n A(x)
template<typename Iterator> inline void transposed_fft_n(Iterator a, int n) {
using Tp = typename std::iterator_traits<Iterator>::value_type;
detail::inv_butterfly_n(a, n, FftInfo<Tp>::get().root(n / 2));
}
template<typename Tp> inline void transposed_fft(std::vector<Tp> &a) {
transposed_fft_n(a.begin(), a.size());
}
template<typename Tp> inline std::vector<Tp> convolution_fft(std::vector<Tp> a, std::vector<Tp> b) {
if (a.empty() || b.empty()) return {};
const int n = a.size();
const int m = b.size();
const int len = fft_len(n + m - 1);
a.resize(len);
b.resize(len);
fft(a);
fft(b);
for (int i = 0; i < len; ++i) a[i] *= b[i];
inv_fft(a);
a.resize(n + m - 1);
return a;
}
template<typename Tp> inline std::vector<Tp> square_fft(std::vector<Tp> a) {
if (a.empty()) return {};
const int n = a.size();
const int len = fft_len(n * 2 - 1);
a.resize(len);
fft(a);
for (int i = 0; i < len; ++i) a[i] *= a[i];
inv_fft(a);
a.resize(n * 2 - 1);
return a;
}
template<typename Tp>
inline std::vector<Tp> convolution_naive(const std::vector<Tp> &a, const std::vector<Tp> &b) {
if (a.empty() || b.empty()) return {};
const int n = a.size();
const int m = b.size();
std::vector<Tp> res(n + m - 1);
for (int i = 0; i < n; ++i)
for (int j = 0; j < m; ++j) res[i + j] += a[i] * b[j];
return res;
}
template<typename Tp>
inline std::vector<Tp> convolution(const std::vector<Tp> &a, const std::vector<Tp> &b) {
if (std::min(a.size(), b.size()) < 60) return convolution_naive(a, b);
if (std::addressof(a) == std::addressof(b)) return square_fft(a);
return convolution_fft(a, b);
}
#line 8 "fft_doubling.hpp"
template<typename Iterator> inline void fft_doubling_n(Iterator a, int n) {
using Tp = typename std::iterator_traits<Iterator>::value_type;
assert((n & (n - 1)) == 0);
std::copy_n(a, n, a + n);
inv_fft_n(a + n, n);
Tp k = 1;
const auto t = FftInfo<Tp>::get().root(n).at(n / 2);
for (int i = 0; i < n; ++i) a[i + n] *= k, k *= t;
fft_n(a + n, n);
}
template<typename Tp> inline void fft_doubling(std::vector<Tp> &a) {
const int n = a.size();
a.resize(n * 2);
fft_doubling_n(a.begin(), n);
}