首先矩阵快速幂模板
struct matrix {
static constexpr int mod = 1e9 + 7;
int x, y;
vector<vector<int>> v;
matrix() {}
matrix(int x, int y) : x(x), y(y) {
v = vector<vector<int>>(x + 1, vector<int>(y + 1, 0));
}
void I() {// 单位化
y = x;
v = vector<vector<int>>(x + 1, vector<int>(x + 1, 0));
for (int i = 1; i <= x; i++) v[i][i] = 1;
return;
}
void display() { // 打印
for (int i = 1; i <= x; i++)
for (int j = 1; j <= y; j++)
cout << v[i][j] << " \n"[j == y];
return;
}
friend matrix operator*(const matrix &a, const matrix &b) { //乘法
assert(a.y == b.x);
matrix ans(a.x, b.y);
for (int i = 1; i <= a.x; i++)
for (int j = 1; j <= b.y; j++)
for (int k = 1; k <= a.y; k++)
ans.v[i][j] = (ans.v[i][j] + a.v[i][k] * b.v[k][j]) % mod;
return ans;
}
friend matrix operator^( matrix x , int y ){ // 快速幂
assert( x.x == x.y );
matrix ans(x.x , x.y);
ans.I();//注意一定要先单位化
while( y ){
if( y&1 ) ans = ans*x;
x = x * x , y >>= 1;
}
return ans;
}
};
已知数列\(a\),满足
\[a_i=\left\{\begin{matrix} 1 & i\in \{1,2,3\}\\ a_{i-1}+a_{x-3}& x\ge 4 \end{matrix}\right. \]求数列第\(n\)项对\(10^9+7\)取模
设计状态阵\(mat_i=\begin{bmatrix} a_i \\ a_{i-1}\\ a_{i-2} \end{bmatrix}\),则\(mat_{i+1}=\begin{bmatrix}a_{i+1}\\a_{i}\\a_{i-1}\end{bmatrix}=\begin{bmatrix}a_{i}+a_{i-2}\\a_{i}\\a_{i-1}\end{bmatrix}\)
可以用待定系数法,加对应项相等解出转移矩阵\(\begin{bmatrix}1&0&1\\1&0&0\\0&1&0\end{bmatrix}\)
则\(mat_{3+n}=\begin{bmatrix}1&0&1\\1&0&0\\0&1&0\end{bmatrix}^n\times mat_3\)
标签:begin,end,matrix,int,矩阵,vector,bmatrix,递推,加速 From: https://www.cnblogs.com/PHarr/p/17378413.html