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多项式基础
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2018-08-18 09:46:59
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rockdu
##一、FFT n次单位根: $$w^k_n = e^{\frac{2\pi i}{n}} = cos{\frac{2\pi k}{n}+sin{\frac{2\pi k}{n}i}}$$ 可以证明: $$(w^k_n)^n = 1$$ ####1、从系数到点值 对于每一个$w^k_n$求出点值。 我们考虑把它化简。 $$F(w^k_n)=\sum^{n-1}_{i=0}a_i\cdot w^{ki}_n =\sum^{n/2-1}_{i=0}a_{2i}\cdot w^{2ki}_n +a_{2i+1}\cdot w^{(2i+1)k}_n \\ =\sum^{n/2-1}_{i=0}a_{2i}\cdot w^{2ki}_n +w^k_n\cdot a_{2i+1}\cdot w^{2ki}_n \\ =\sum^{n/2-1}_{i=0}a_{2i}\cdot w^{ki}_{n/2} +w^k_n\cdot a_{2i+1}\cdot w^{ki}_{n/2}$$ 这里是分奇偶讨论,并且有$w^{2ki}_{n}=w^{ki}_{n/2}$,之后我们发现两部分可以递归处理。 $$\sum^{n/2-1}_{i=0}a_{2i}\cdot w^{ki}_{n/2} $$ 这个相当于把偶数项提出来成为新的多项式。 递归处理就可以了。 ####2、从点值到系数 先考虑刚才的过程,考虑把点值集作为向量$((i, f(i)))$,用矩阵描述转移。我们把第$i$行第$j$列为$w^{ij}_n$的矩阵写作$[w^{ij}_n]$。 那么这个过程的实质是:$$(f[i])[w^{ij}_n]=(i, f(i))$$ 我们只要找到矩阵的逆$[w^{ij}_n]^{-1}$就可以做逆变换 而这个矩阵就是 $$\frac{1}{n} [w^{-ij}_n]$$ 可以~~打表~~证明对角线上是1,其他位置是0。 *另外,有类似FFT的多项式乘法,复杂度为$O(n^{log_2^3})$,貌似python的多项式乘法就运用了这个方法。 ##二、牛顿迭代 求解:$$H(F(x))=0$$ 设$F_n(x)$是迭代$n$次的解多项式。 把$H(F_{n+1})$在$F_{n}$处泰勒展开前两项。 $$H(F_{n+1}(x))=H(F_n(x))+H^{'}(F_n(x))(F_{n+1}(x)-F_n(x))$$ 而牛顿迭代是这样: $$F_{n+1}(x)=F_n-\frac{H(F_n(x))}{H^{'}(F_n(x))}$$ 因为有条件$$H(F(x))=0$$ 这两个公式是等价的。 多项式的其他操作网上已经有很好的博客了,这里放出链接: [多项式操作](http://blog.miskcoo.com/2015/05/polynomial-inverse) 实数域多项式求逆: ``` #include<cstdio> #include<cmath> #include<cstring> #include<algorithm> #include<vector> using namespace std; const int maxn = 1e6 + 5; const int mod = 998244353; struct Complex { double r, i; Complex(){} Complex(double rr, double ri) {r = rr, i = ri;} Complex operator + (const Complex &A) {return Complex(r + A.r, i + A.i);} Complex operator - (const Complex &A) {return Complex(r - A.r, i - A.i);} Complex operator * (const Complex &A) {return Complex(r * A.r - i * A.i, r * A.i + i * A.r);} Complex operator * (const double &d) {return Complex(r * d, i * d);} Complex operator / (const double &d) {return Complex(r / d, i / d);} }; typedef Complex E; namespace Poly { #define For(i, a, b) for(register int i = a; i <= b; ++i) const int maxn = 1e5 + 5; const double Pi = acos(-1); int RL[maxn << 2], mxp2, N; E tmp[maxn << 2], tmp2[maxn << 2], tmp3[maxn << 2]; void init(int n) { for(N = 1, mxp2 = 0; N < n; N <<= 1, ++mxp2); for(register int i = 1; i <= N; ++i) RL[i] = ((RL[i >> 1] >> 1) | ((i & 1) << mxp2 - 1)); } void FFT(E * A, int type) { for(register int i = 0; i < N; ++i) if(i < RL[i]) swap(A[i], A[RL[i]]); for(register int i = 1; i < N; i <<= 1) { E Wn(cos(Pi / i), sin(type * Pi / i)); for(register int j = 0, p = i << 1; j < N; j += p) { E w(1, 0); for(register int k = 0; k < i; ++k, w = w * Wn) { E x = A[j + k], y = w * A[j + k + i]; A[j + k] = x + y, A[j + k + i] = x - y; } } } } void mul(E * A, E * B, int n, int m) { init(n + m); FFT(A, 1), FFT(B, 1); for(register int i = 0; i <= N; ++i) A[i] = A[i] * B[i]; FFT(A, -1); for(register int i = 0; i <= N; ++i) A[i] = A[i] / N; } void GetK(E * A, E * B, int k) { for(register int i = 0; i <= k; ++i) A[i] = B[i]; } void inv(E * A, int n) { memset(tmp, 0, sizeof(tmp)); memset(tmp2, 0, sizeof(tmp2)); memset(tmp3, 0, sizeof(tmp3)); tmp[0].r = 1.0 / A[0].r; for(register int l = 2; l < n * 2; l <<= 1) { memset(tmp2, 0, sizeof(E) * (l + 3)); for(register int j = 0; j < l; ++j) tmp3[j] = tmp[j] * 2; GetK(tmp2, A, l), init(l * 3); FFT(tmp, 1), FFT(tmp2, 1); for(register int i = 0; i <= N; ++i) tmp[i] = tmp[i] * tmp[i] * tmp2[i]; FFT(tmp, -1); for(register int i = 0; i <= l; ++i) tmp[i] = E(tmp3[i].r - round(tmp[i].r / N), 0); for(register int i = l; i <= N; ++i) tmp[i] = E(0, 0); } } } int n, a, b; E A[maxn << 1], B[maxn << 1]; int main() { scanf("%d", &n); for(register int i = 0; i < n; ++i) scanf("%lf", &A[i].r); Poly::inv(A, n); for(register int i = 0; i < n; ++i) printf("%lf ", Poly::tmp[i].r); return 0; } ``` 模意义下多项式全家: ``` #include<cstdio> #include<cmath> #include<cstring> #include<algorithm> #include<vector> #define LL long long using namespace std; const int maxn = 1e5 + 5; const int mod = 998244353, G = 3; LL fpow(LL a, int b) { LL ans = 1; while(b) { if(b & 1) ans = ans * a % mod; a = a * a % mod, b >>= 1; } return ans; } namespace Poly { #define For(i, a, b) for(register int i = a; i <= b; ++i) const int maxn = 1e5 + 5; int RL[maxn * 4], mxp2, N; int tmp[maxn * 4], tmp2[maxn * 4], tmp3[maxn * 4]; void init(int n) { for(N = 1, mxp2 = 0; N < n; N <<= 1, ++mxp2); for(register int i = 1; i <= N; ++i) RL[i] = ((RL[i >> 1] >> 1) | ((i & 1) << mxp2 - 1)); } void NTT(int * A, int type) { for(register int i = 0; i < N; ++i) if(i < RL[i]) swap(A[i], A[RL[i]]); for(register int i = 1; i < N; i <<= 1) { LL Wn = fpow(G, (mod - 1) / (i << 1)); if(type == -1) Wn = fpow(Wn, mod - 2); for(register int j = 0, p = i << 1; j < N; j += p) { LL w = 1; for(register int k = 0; k < i; ++k, w = w * Wn % mod) { int x = A[j + k], y = w * A[j + k + i] % mod; A[j + k] = (x + y) % mod, A[j + k + i] = (x - y) % mod; } } } } void mul(int * A, int * B, int n, int m) { init(n + m); NTT(A, 1), NTT(B, 1); for(register int i = 0; i <= N; ++i) A[i] = 1ll * A[i] * B[i] % mod; NTT(A, -1); int inv = fpow(N, mod - 2); for(register int i = 0; i <= N; ++i) A[i] = 1ll * A[i] * inv % mod; } void GetK(int * A, int * B, int k) { for(register int i = 0; i <= k; ++i) A[i] = B[i]; } void inv(int * A, int n) { memset(tmp, 0, sizeof(int) * (n * 4 + 5)); memset(tmp2, 0, sizeof(int) * (n * 4 + 5)); memset(tmp3, 0, sizeof(int) * (n * 4 + 5)); tmp[0] = fpow(A[0], mod - 2); for(register int l = 1; l < n * 2; l <<= 1) { for(register int j = 0; j < l; ++j) tmp3[j] = tmp[j] * 2 % mod; GetK(tmp2, A, l), init(l << 1); NTT(tmp, 1), NTT(tmp2, 1); for(register int i = 0; i <= N; ++i) tmp[i] = (1ll * ((1ll * tmp[i] * tmp[i]) % mod) * tmp2[i]) % mod; NTT(tmp, -1); int inv = fpow(N, mod - 2); for(register int i = 0; i < l; ++i) tmp[i] = (tmp3[i] - 1ll * tmp[i] * inv % mod + mod) % mod; for(register int i = l; i <= N; ++i) tmp[i] = 0; } } void Dif(int * A, int n) { for(register int i = 0; i < n - 1; ++i) { A[i] = (1ll * A[i + 1] * (i + 1)) % mod; } A[n - 1] = 0; } void Itg(int * A, int n) { for(register int i = n + 1; i >= 1; --i) { A[i] = 1ll * fpow(i, mod - 2) * A[i - 1] % mod; } } void ln(int * A, int n) { inv(A, n), Dif(A, n); mul(A, tmp, n - 1, n); Itg(A, 2 * n - 1); for(register int i = n; i < 2 * n; ++i) A[i] = 0; A[0] = 0; } int eans[maxn * 4], etmp[maxn * 4]; void exp(int * A, int n) { memset(eans, 0, sizeof(int) * (n * 4 + 3)); memset(etmp, 0, sizeof(int) * (n * 4 + 3)); eans[0] = 1; for(register int l = 1; l < n * 2; l <<= 1) { //memset(etmp, 0, sizeof(int) * (l + 3)); GetK(etmp, eans, l); ln(etmp, l); for(register int i = 0; i < l; ++i) etmp[i] = (A[i] - etmp[i]) % mod; (etmp[0] += 1) %= mod; mul(eans, etmp, l, l); } } } int n, m, a, b; int A[maxn << 1], B[maxn << 1]; signed main() { scanf("%d", &n); for(register int i = 0; i < n; ++i) scanf("%d", &A[i]); Poly::inv(A, n); for(register int i = 0; i < n; ++i) printf("%d ", Poly::tmp[i]); return 0; } ``` 线性递推矩阵的特征多项式: $$f_n=\sum^k_{i=1}a_if_{n-i}$$ $$(-1)^kx^k+\sum^k_{i=1}a_i(-1)^{k-1}x^{k-i}$$ 下面是一些题目: http://cogs.pro:8080/cogs/problem/problem.php?pid=2354 http://cogs.pro:8080/cogs/problem/problem.php?pid=2355 http://cogs.pro:8080/cogs/problem/problem.php?pid=2343 http://cogs.pro:8080/cogs/problem/problem.php?pid=2392 http://cogs.pro:8080/cogs/problem/problem.php?pid=2393 http://cogs.pro:8080/cogs/problem/problem.php?pid=2395 http://cogs.pro:8080/cogs/problem/problem.php?pid=2397 http://cogs.pro:8080/cogs/problem/problem.php?pid=2358 http://cogs.pro:8080/cogs/problem/problem.php?pid=2359 http://cogs.pro:8080/cogs/problem/problem.php?pid=2294
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