#include<bits/stdc++.h>
using namespace std;
typedef long long ll;
#define int ll
const int maxn = 200001;
int arr[maxn];
// 题目中的k。因为k一般用作循环变量,所以不作为变量名
int limit;
// A0的长度
int n;
// “龟速乘法”
int mxqmul(int a,int b) {
if(b == 0) return 0;
int r = mxqmul(a, b >> 1);
r = min(r + r, limit);
if(b & 1) return min(r + a, limit);
return r;
}
// 矩阵乘法封装类
struct Matrix:vector<vector<int> > {
Matrix __construct(int l = 0, int w = 0, int v = 0) {
assign(l, vector<int>(w, v));
return *this;
}
Matrix(int l = 0, int w = 0, int v = 0) {
assign(l, vector<int>(w, v));
}
unsigned sizeL() const {
return size();
}
unsigned sizeW() const {
return empty() ? 0 : (*this)[0].size();
}
Matrix operator* (const Matrix &other) const {
if(sizeW() != other.sizeL()) {
return Matrix(0, 0, 0);
}
int l = sizeL(), w = other.sizeW(), p = sizeW();
Matrix ret(l,w,0);
for(int i = 0; i < l; i ++) {
for(int j = 0; j < w; j ++) {
for(int k = 0; k < p; k ++) {
ret[i][j] += mxqmul((*this)[i][k], other[k][j]);
ret[i][j] = min(ret[i][j], limit);
}
}
}
return ret;
}
Matrix operator *= (const Matrix &other) {
*this = (*this)*other;
return *this;
}
Matrix pow(int t) {
if(t == 0) {
Matrix ret(sizeL(), sizeL(), 0);
for(int i = 0; i < sizeL(); i ++) {
ret[i][i] = 1;
}
return ret;
}
if(t == 1) {
return *this;
}
if(t == 2) {
return (*this)*(*this);
}
Matrix tmp = pow(t / 2);
if(t % 2 == 0)
return tmp * tmp;
else
return (*this) * tmp * tmp;
}
Matrix pow_(int t) {
*this = pow(t);
return *this;
}
void oi_input() {
for(int i = 0; i < sizeL(); i ++) {
for(int j = 0; j < sizeW(); j ++) {
scanf("%lld", &(*this)[i][j]);
}
}
}
void oi_output() {
for(int i = 0; i < sizeL(); i ++) {
for(int j = 0; j < sizeW(); j ++) {
printf("%lld ", (*this)[i][j]);
}
printf("\n");
}
}
};
// 二分的check。如果Ap中存在大于等于limit的元素返回true,否则返回false
bool check(int p) {
Matrix mt(n, n, 0);
for(int i = 0; i < n; i ++) {
for(int j = 0; j <= i; j ++) {
mt[i][j] = 1;
}
}
Matrix ar(n, 1, 0);
for(int i = 0; i < n; i ++) {
ar[i][0] = arr[i + 1];
}
ar = mt.pow(p) * ar;
for(int i = 0; i < n; i ++) {
if(ar[i][0] >= limit)
return true;
}
return false;
}
// 删除前导0,返回删除后数列的长度
int unuqie(int *arr, int len) {
int ptr = 0;
for(int i = 1; i <= len; i ++) {
if(arr[i] != 0 || ptr) {
arr[++ ptr] = arr[i];
}
}
return ptr;
}
// 功能相当于 (int)ceil((double)a/b)
// 用于A0的长度等于2的情况下。由于double的精度问题,并不能使用强转double并ceil的方法。
int ceilDiv(int a, int b) {
return a / b + bool(a % b);
}
signed main() {
scanf("%lld", &n);
scanf("%lld", &limit);
for(int i = 1; i <= n;i ++)
scanf("%lld", &arr[i]);
// 去除前导0
n = unuqie(arr, n);
// 判断 |A0| == 2
if(n == 2) {
printf("%lld\n", max(0ll, ceilDiv((limit - arr[2]), arr[1])));
exit(0);
}
// 判断答案为0的情况(防止出现问题)
for(int i = 1; i <= n; i ++) {
if(arr[i] >= limit) {
printf("0\n");
exit(0);
}
}
// 如果 |A0| >= 10,可以暴力迭代完成。
if(n >= 10) {
int cnt = 0;
while(1) {
cnt ++;
for(int i = 1;i <= n; i ++) {
arr[i] += arr[i - 1];
if(arr[i] >= limit) {
printf("%lld\n", cnt);
exit(0);
}
}
}
}
// 否则二分答案
// 考虑二分边界的方法:
// 如果check(mid)为true,那么mid值偏大或正好
// 由于check(mid)为true,最终答案可能是mid,所以 r = mid (如果最终答案不可能是mid,取 r = mid - 1)
// 如果check(mid)为false,那么mid值偏小
// 最终答案不可能取mid,所以 l = mid + 1 (如果最终答案可能是mid,取 l = mid)
// 随后考虑最容易死循环的情况,即 r - l == 1,来确定mid的取值
// 如果令 mid = l+r - (l+r)/2,则此情况下mid = r:
// 若check(mid) == true,那么执行 r = mid,即 r = r,此时二分范围没有变小,会造成死循环,所以应当令 mid = (l+r)/2
int l = 0, r = 64356879284;
while(l < r) {
int mid = (l + r) / 2;
if(check(mid)) {
r = mid;
}
else {
l = mid + 1;
}
}
printf("%lld\n", l);
}
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