There is a set of matrixes that are constructed subject to the following constraints:

1. The matrix is a S(n)×S(n) matrix;

2. S(n) is the sum of the first n Fibonacci numbers modulus m, that is S(n) = (F1 + F2 + … + Fn) % m;

3. The matrix contains only three kinds of integers ‘0’, ‘1’ or ‘-1’;

4. The sum of each row and each column in the matrix are all different.

Here, the Fibonacci numbers are the numbers in the following sequence: 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, …

By definition, the first two Fibonacci numbers are 1 and 1, and each remaining number is the sum of the previous two.

In mathematical terms, the sequence Fn of Fibonacci numbers is defined by the recurrence relation Fn = Fn-1 + Fn-2, with seed values F1 = F2 = 1.

Given two integers n and m, your task is to construct the matrix.

Input

The first line of the input contains an integer T (T <= 25), indicating the number of cases. Each case begins with a line containing two integers n and m (2 <= n <= 1,000,000,000, 2 <= m <= 200).

Output

For each test case, print a line containing the test case number (beginning with 1) and whether we could construct the matrix. If we could construct the matrix, please output “Yes”, otherwise output “No” instead. If there are multiple solutions, any one is accepted and then output the S(n)×S(n) matrix, separate each integer with an blank space (as the format in sample).

Sample Input

2
2 3
5 2

Sample Output

Case 1: Yes
-1 1
0 1
Case 2: No 难点在于构造:
构造方式 下三角为-1,上三角为 1,主对角-1 0 排列 ,主要是奇数和0的也不存在
代码:
#include<cstdio>
#include<iostream>
#include<cstring>
#include<algorithm>
#include<queue>
#include<stack>
#include<set>
#include<vector>
#include<map>
#include<cmath>
const int maxn=1e5+;
typedef long long ll;
using namespace std;
struct Mat
{
ll a[][];
}; int mod;
Mat Mul(Mat a,Mat b)
{
Mat ans;
memset(ans.a,,sizeof(ans.a));
for(int t=;t<;t++)
{
for(int j=;j<;j++)
{
for(int k=;k<;k++)
{
ans.a[t][j]=(ans.a[t][j]+a.a[t][k]*b.a[k][j])%mod;
}
}
}
return ans;
}
Mat ans;
ll quickpow(int n)
{
Mat res;
res.a[][]=;
res.a[][]=;
res.a[][]=;
res.a[][]=;
res.a[][]=;
res.a[][]=;
res.a[][]=;
res.a[][]=;
res.a[][]=; while(n)
{
if(n&)
{
ans=Mul(res,ans);
}
res=Mul(res,res);
n>>=;
}
return ans.a[][];
}
int main()
{
int T;
cin>>T;
int n;
int cnt=;
while(T--)
{
scanf("%d%d",&n,&mod);
memset(ans.a,,sizeof(ans.a));
ans.a[][]=;
ans.a[][]=;
ans.a[][]=;
ll aa=quickpow(n-)%mod;
if(aa&||aa==)
{
printf("Case %d: No\n",cnt++);
}
else
{
printf("Case %d: Yes\n",cnt++);
for(int t=;t<aa;t++)
{
for(int j=;j<aa;j++)
{
if(t>j)
{
printf("-1 ");
}
if(t<j)
{
printf("1 ");
}
if(t==j&&t%==)
{
printf("-1 ");
}
if(t==j&&t%==)
{
printf("0 ");
}
}
printf("\n");
}
} }
return ;
}

Construct a Matrix (矩阵快速幂+构造)的更多相关文章

  1. fzu 1911 Construct a Matrix(矩阵快速幂+规律)

    题目链接:fzu 1911 Construct a Matrix 题目大意:给出n和m,f[i]为斐波那契数列,s[i]为斐波那契数列前i项的和.r = s[n] % m.构造一个r * r的矩阵,只 ...

  2. 233 Matrix 矩阵快速幂

    In our daily life we often use 233 to express our feelings. Actually, we may say 2333, 23333, or 233 ...

  3. HDU - 5015 233 Matrix (矩阵快速幂)

    In our daily life we often use 233 to express our feelings. Actually, we may say 2333, 23333, or 233 ...

  4. UVa 11149 Power of Matrix (矩阵快速幂,倍增法或构造矩阵)

    题意:求A + A^2 + A^3 + ... + A^m. 析:主要是两种方式,第一种是倍增法,把A + A^2 + A^3 + ... + A^m,拆成两部分,一部分是(E + A^(m/2))( ...

  5. HDU 5015 233 Matrix --矩阵快速幂

    题意:给出矩阵的第0行(233,2333,23333,...)和第0列a1,a2,...an(n<=10,m<=10^9),给出式子: A[i][j] = A[i-1][j] + A[i] ...

  6. 233 Matrix(矩阵快速幂+思维)

    In our daily life we often use 233 to express our feelings. Actually, we may say 2333, 23333, or 233 ...

  7. HDU5015 233 Matrix —— 矩阵快速幂

    题目链接:https://vjudge.net/problem/HDU-5015 233 Matrix Time Limit: 10000/5000 MS (Java/Others)    Memor ...

  8. UVa 11149 Power of Matrix 矩阵快速幂

    题意: 给出一个\(n \times n\)的矩阵\(A\),求\(A+A^2+A^3+ \cdots + A^k\). 分析: 这题是有\(k=0\)的情况,我们一开始先特判一下,直接输出单位矩阵\ ...

  9. hdu6470 矩阵快速幂+构造矩阵

    http://acm.hdu.edu.cn/showproblem.php?pid=6470 题意 \(f[n]=2f[n-2]+f[n-1]+n^3,n \leq 10^{18}\),求f[n] 题 ...

随机推荐

  1. Python10行以内代码能有什么高端操作

    Python10行以内代码能有什么高端操作 Python凭借其简洁的代码,赢得了许多开发者的喜爱.因此也就促使了更多开发者用Python开发新的模块,从而形成良性循环,Python可以凭借更加简短的代 ...

  2. Navicat Premium 安装破解

    软件官网 : https://www.navicat.com.cn/ Navicat Premium 12 下载地址:https://www.lanzous.com/i9j0syf 密码:7pup N ...

  3. [深度学习] Pytorch(三)—— 多/单GPU、CPU,训练保存、加载模型参数问题

    [深度学习] Pytorch(三)-- 多/单GPU.CPU,训练保存.加载预测模型问题 上一篇实践学习中,遇到了在多/单个GPU.GPU与CPU的不同环境下训练保存.加载使用使用模型的问题,如果保存 ...

  4. Python实现迪杰斯特拉算法

    首先我采用邻接矩阵法来表示图(有向图无向图皆可) 图的定义如下: class Graph: def __init__(self, arcs=[]): self.vexs = [] self.arcs ...

  5. C#LeetCode刷题-二分查找​​​​​​​

    二分查找篇 # 题名 刷题 通过率 难度 4 两个排序数组的中位数 C#LeetCode刷题之#4-两个排序数组的中位数(Median of Two Sorted Arrays)-该题未达最优解 30 ...

  6. C#算法设计排序篇之11-二叉树排序(附带动画演示程序)

    二叉树排序(Binary Tree Sort) 该文章的最新版本已迁移至个人博客[比特飞],单击链接 https://www.byteflying.com/archives/695 访问. 二叉树排序 ...

  7. golang 标准库

    前言 不做文字搬运工,多做思路整理 就是为了能速览标准库,只整理我自己看过的...... 最好能看看英文的 标准库 fmt strconv string 跳转 golang知识库总结

  8. 高吞吐量消息系统—kafka

    现在基本上大数据的场景中都会有kafka的身影,那么为什么这些场景下要用kafka而不用其他传统的消息队列呢?例如rabbitmq.主要的原因是因为kafka天然的百万级TPS,以及它对接其他大数据组 ...

  9. day5 字符串 函数

    字符串 1.单引号,双引号,三引号括起来的都是字符串    索引  从0开始  str[0]    遍历   for循环    判断字符串中是否都是数字    ,字母  返回bool型         ...

  10. HashMap 21问!!

    1:HashMap的数据结构? A:哈希表结构(链表散列:数组+链表)实现,结合数组和链表的优点.当链表长度超过8时,链表转换为红黑树. transient Node<K,V>\[\] t ...