给定n个骰子,每个骰子有m个面(从1到m编号),找到获得总和X的方法的数量。X是抛出所有骰子时每个面的值的总和。
天真的方法是从n个骰子中找到值的所有可能组合,并继续对加总为X的结果进行计数。
使用动态编程(DP)可以有效地解决此问题。
Let the function to find X from n dice is: Sum(m, n, X)
The function can be represented as:
Sum(m, n, X) = Finding Sum (X - 1) from (n - 1) dice plus 1 from nth dice
+ Finding Sum (X - 2) from (n - 1) dice plus 2 from nth dice
+ Finding Sum (X - 3) from (n - 1) dice plus 3 from nth dice
...................................................
...................................................
...................................................
+ Finding Sum (X - m) from (n - 1) dice plus m from nth dice
So we can recursively write Sum(m, n, x) as following
Sum(m, n, X) = Sum(m, n - 1, X - 1) +
Sum(m, n - 1, X - 2) +
.................... +
Sum(m, n - 1, X - m)
为什么采用DP方式?
上述问题表现出重叠的子问题。请参见下图。另外,请参见此递归实现。假设有3个骰子,每个骰子有6个面,我们需要找到求和8的方法数量:
Sum(6, 3, 8) = Sum(6, 2, 7) + Sum(6, 2, 6) + Sum(6, 2, 5) +
Sum(6, 2, 4) + Sum(6, 2, 3) + Sum(6, 2, 2)
To evaluate Sum(6, 3, 8), we need to evaluate Sum(6, 2, 7) which can
recursively written as following:
Sum(6, 2, 7) = Sum(6, 1, 6) + Sum(6, 1, 5) + Sum(6, 1, 4) +
Sum(6, 1, 3) + Sum(6, 1, 2) + Sum(6, 1, 1)
We also need to evaluate Sum(6, 2, 6) which can recursively written
as following:
Sum(6, 2, 6) = Sum(6, 1, 5) + Sum(6, 1, 4) + Sum(6, 1, 3) +
Sum(6, 1, 2) + Sum(6, 1, 1)
..............................................
..............................................
Sum(6, 2, 2) = Sum(6, 1, 1)
请仔细查看上述递归。第一次解决RED中的子问题,再次解决BLUE中的子问题(展示重叠子问题)。因此,存储解决的子问题的结果可以节省时间。
以下是动态编程方法的实现。
C++
// C++ program to find number of ways to get sum 'x' with 'n'
// dice where every dice has 'm' faces
#include
#include
using namespace std;
// The main function that returns number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
int findWays(int m, int n, int x)
{
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
int table[n + 1][x + 1];
memset(table, 0, sizeof(table)); // Initialize all entries as 0
// Table entries for only one dice
for (int j = 1; j <= m && j <= x; j++)
table[1][j] = 1;
// Fill rest of the entries in table using recursive relation
// i: number of dice, j: sum
for (int i = 2; i <= n; i++)
for (int j = 1; j <= x; j++)
for (int k = 1; k <= m && k < j; k++)
table[i][j] += table[i-1][j-k];
/* Uncomment these lines to see content of table
for (int i = 0; i <= n; i++)
{
for (int j = 0; j <= x; j++)
cout << table[i][j] << " ";
cout << endl;
} */
return table[n][x];
}
// Driver program to test above functions
int main()
{
cout << findWays(4, 2, 1) << endl;
cout << findWays(2, 2, 3) << endl;
cout << findWays(6, 3, 8) << endl;
cout << findWays(4, 2, 5) << endl;
cout << findWays(4, 3, 5) << endl;
return 0;
}
Java
// Java program to find number of ways to get sum 'x' with 'n'
// dice where every dice has 'm' faces
import java.util.*;
import java.lang.*;
import java.io.*;
class GFG {
/* The main function that returns the number of ways to get sum 'x' with 'n' dice and 'm' with m faces. */
public static long findWays(int m, int n, int x){
/* Create a table to store the results of subproblems.
One extra row and column are used for simplicity
(Number of dice is directly used as row index and sum is directly used as column index).
The entries in 0th row and 0th column are never used. */
long[][] table = new long[n+1][x+1];
/* Table entries for only one dice */
for(int j = 1; j <= m && j <= x; j++)
table[1][j] = 1;
/* Fill rest of the entries in table using recursive relation
i: number of dice, j: sum */
for(int i = 2; i <= n;i ++){
for(int j = 1; j <= x; j++){
for(int k = 1; k < j && k <= m; k++)
table[i][j] += table[i-1][j-k];
}
}
/* Uncomment these lines to see content of table
for(int i = 0; i< n+1; i++){
for(int j = 0; j< x+1; j++)
System.out.print(dt[i][j] + " ");
System.out.println();
} */
return table[n][x];
}
// Driver Code
public static void main (String[] args) {
System.out.println(findWays(4, 2, 1));
System.out.println(findWays(2, 2, 3));
System.out.println(findWays(6, 3, 8));
System.out.println(findWays(4, 2, 5));
System.out.println(findWays(4, 3, 5));
}
}
// This code is contributed by MaheshwariPiyush
Python3
# Python3 program to find the number of ways to get sum 'x' with 'n' dice
# where every dice has 'm' faces
# The main function that returns number of ways to get sum 'x'
# with 'n' dice and 'm' with m faces.
def findWays(m,n,x):
# Create a table to store results of subproblems. One extra
# row and column are used for simpilicity (Number of dice
# is directly used as row index and sum is directly used
# as column index). The entries in 0th row and 0th column
# are never used.
table=[[0]*(x+1) for i in range(n+1)] #Initialize all entries as 0
for j in range(1,min(m+1,x+1)): #Table entries for only one dice
table[1][j]=1
# Fill rest of the entries in table using recursive relation
# i: number of dice, j: sum
for i in range(2,n+1):
for j in range(1,x+1):
for k in range(1,min(m+1,j)):
table[i][j]+=table[i-1][j-k]
#print(dt)
# Uncomment above line to see content of table
return table[-1][-1]
# Driver code
print(findWays(4,2,1))
print(findWays(2,2,3))
print(findWays(6,3,8))
print(findWays(4,2,5))
print(findWays(4,3,5))
# This code is contributed by MaheshwariPiyush
C#
// C# program to find number
// of ways to get sum 'x'
// with 'n' dice where every
// dice has 'm' faces
using System;
class GFG
{
// The main function that returns
// number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
static int findWays(int m,
int n, int x)
{
// Create a table to store
// results of subproblems.
// row and column are used
// for simpilicity (Number
// of dice is directly used
// as row index and sum is
// directly used as column
// index). The entries in 0th
// row and 0th column are
// never used.
int[,] table = new int[n + 1,
x + 1];
// Initialize all
// entries as 0
for (int i = 0; i <= n; i++)
for (int j = 0; j <= x; j++)
table[i, j] = 0;
// Table entries for
// only one dice
for (int j = 1;
j <= m && j <= x; j++)
table[1, j] = 1;
// Fill rest of the entries
// in table using recursive
// relation i: number of
// dice, j: sum
for (int i = 2; i <= n; i++)
for (int j = 1; j <= x; j++)
for (int k = 1;
k <= m && k < j; k++)
table[i, j] += table[i - 1,
j - k];
/* Uncomment these lines to
see content of table
for (int i = 0; i <= n; i++)
{
for (int j = 0; j <= x; j++)
cout << table[i][j] << " ";
cout << endl;
} */
return table[n, x];
}
// Driver Code
public static void Main()
{
Console.WriteLine(findWays(4, 2, 1));
Console.WriteLine(findWays(2, 2, 3));
Console.WriteLine(findWays(6, 3, 8));
Console.WriteLine(findWays(4, 2, 5));
Console.WriteLine(findWays(4, 3, 5));
}
}
// This code is contributed by mits.
PHP
C++
// C++ program
// The main function that returns number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
#include
using namespace std;
long findWays(int f, int d, int s)
{
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
long mem[d + 1][s + 1];
memset(mem,0,sizeof mem);
// Table entries for no dices
// If you do not have any data, then the value must be 0, so the result is 1
mem[0][0] = 1;
// Iterate over dices
for (int i = 1; i <= d; i++)
{
// Iterate over sum
for (int j = i; j <= s; j++)
{
// The result is obtained in two ways, pin the current dice and spending 1 of the value,
// so we have mem[i-1][j-1] remaining combinations, to find the remaining combinations we
// would have to pin the values ??above 1 then we use mem[i][j-1] to sum all combinations
// that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
// extra combinations, so we remove the combinations that only pin the extrapolated dice face and
// subtract the extrapolated combinations.
mem[i][j] = mem[i][j - 1] + mem[i - 1][j - 1];
if (j - f - 1 >= 0)
mem[i][j] -= mem[i - 1][j - f - 1];
}
}
return mem[d][s];
}
// Driver code
int main(void)
{
cout << findWays(4, 2, 1) << endl;
cout << findWays(2, 2, 3) << endl;
cout << findWays(6, 3, 8) << endl;
cout << findWays(4, 2, 5) << endl;
cout << findWays(4, 3, 5) << endl;
return 0;
}
// This code is contributed by ankush_953
Java
/**
* The main function that returns number of ways to get sum 'x'
* with 'n' dice and 'm' with m faces.
*
* @author Pedro H. Chaves
*/
public class GFG {
/**
* Count ways
*
* @param f
* @param d
* @param s
* @return
*/
public static long findWays(int f, int d, int s) {
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
long mem[][] = new long[d + 1][s + 1];
// Table entries for no dices
// If you do not have any data, then the value must be 0, so the result is 1
mem[0][0] = 1;
// Iterate over dices
for(int i=1; i<=d; i++) {
// Iterate over sum
for(int j=i; j<=s; j++) {
// The result is obtained in two ways, pin the current dice and spending 1 of the value,
// so we have mem[i-1][j-1] remaining combinations, to find the remaining combinations we
// would have to pin the values ??above 1 then we use mem[i][j-1] to sum all combinations
// that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
// extra combinations, so we remove the combinations that only pin the extrapolated dice face and
// subtract the extrapolated combinations.
mem[i][j] = mem[i][j-1] + mem[i-1][j-1];
if(j-f-1 >= 0)
mem[i][j] -= mem[i-1][j-f-1];
}
}
return mem[d][s];
}
/**
* Main
*
* @param args
*/
public static void main(String[] args) {
System.out.println(findWays(4, 2, 1));
System.out.println(findWays(2, 2, 3));
System.out.println(findWays(6, 3, 8));
System.out.println(findWays(4, 2, 5));
System.out.println(findWays(4, 3, 5));
}
}
Python3
# Python program
# The main function that returns number of ways to get sum 'x'
# with 'n' dice and 'm' with m faces.
def findWays(f, d, s):
# Create a table to store results of subproblems. One extra
# row and column are used for simpilicity (Number of dice
# is directly used as row index and sum is directly used
# as column index). The entries in 0th row and 0th column
# are never used.
mem = [[0 for i in range(s+1)] for j in range(d+1)]
# Table entries for no dices
# If you do not have any data, then the value must be 0, so the result is 1
mem[0][0] = 1
# Iterate over dices
for i in range(1, d+1):
# Iterate over sum
for j in range(1, s+1):
# The result is obtained in two ways, pin the current dice and spending 1 of the value,
# so we have mem[i-1][j-1] remaining combinations, to find the remaining combinations we
# would have to pin the values ??above 1 then we use mem[i][j-1] to sum all combinations
# that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
# extra combinations, so we remove the combinations that only pin the extrapolated dice face and
# subtract the extrapolated combinations.
mem[i][j] = mem[i][j - 1] + mem[i - 1][j - 1]
if j - f - 1 >= 0:
mem[i][j] -= mem[i - 1][j - f - 1]
return mem[d][s]
# Driver code
print(findWays(4, 2, 1))
print(findWays(2, 2, 3))
print(findWays(6, 3, 8))
print(findWays(4, 2, 5))
print(findWays(4, 3, 5))
# This code is contributed by ankush_953
C#
// C# program
// The main function that returns number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
using System;
class GFG
{
/**
* Count ways
*
* @param f
* @param d
* @param s
* @return
*/
public static long findWays(int f, int d, int s)
{
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
long [,]mem = new long[d + 1,s + 1];
// Table entries for no dices
// If you do not have any data, then the value must be 0, so the result is 1
mem[0,0] = 1;
// Iterate over dices
for(int i = 1; i <= d; i++)
{
// Iterate over sum
for(int j = i; j <= s; j++)
{
// The result is obtained in two ways, pin the current dice and spending 1 of the value,
// so we have mem[i-1,j-1] remaining combinations, to find the remaining combinations we
// would have to pin the values ??above 1 then we use mem[i,j-1] to sum all combinations
// that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
// extra combinations, so we remove the combinations that only pin the extrapolated dice face and
// subtract the extrapolated combinations.
mem[i,j] = mem[i,j-1] + mem[i-1,j-1];
if(j-f-1 >= 0)
mem[i,j] -= mem[i-1,j-f-1];
}
}
return mem[d,s];
}
// Driver code
public static void Main(String[] args)
{
Console.WriteLine(findWays(4, 2, 1));
Console.WriteLine(findWays(2, 2, 3));
Console.WriteLine(findWays(6, 3, 8));
Console.WriteLine(findWays(4, 2, 5));
Console.WriteLine(findWays(4, 3, 5));
}
}
// This code is contributed by 29AjayKumar
输出 :
0
2
21
4
6
时间复杂度: O(m * n * x)其中m是面孔的数量,n是骰子的数量,x是和。
我们可以在findWays()的开头添加以下两个条件,以在极端情况(x太高或x太低)下提高程序的性能。
// When x is so high that sum can not go beyond x even when we
// get maximum value in every dice throw.
if (m*n <= x)
return (m*n == x);
// When x is too low
if (n >= x)
return (n == x);
添加上述条件后,当x> = m * n或x <= n时,时间复杂度变为O(1)。
以下是优化动态规划方法的实现。
C++
// C++ program
// The main function that returns number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
#include
using namespace std;
long findWays(int f, int d, int s)
{
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
long mem[d + 1][s + 1];
memset(mem,0,sizeof mem);
// Table entries for no dices
// If you do not have any data, then the value must be 0, so the result is 1
mem[0][0] = 1;
// Iterate over dices
for (int i = 1; i <= d; i++)
{
// Iterate over sum
for (int j = i; j <= s; j++)
{
// The result is obtained in two ways, pin the current dice and spending 1 of the value,
// so we have mem[i-1][j-1] remaining combinations, to find the remaining combinations we
// would have to pin the values ??above 1 then we use mem[i][j-1] to sum all combinations
// that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
// extra combinations, so we remove the combinations that only pin the extrapolated dice face and
// subtract the extrapolated combinations.
mem[i][j] = mem[i][j - 1] + mem[i - 1][j - 1];
if (j - f - 1 >= 0)
mem[i][j] -= mem[i - 1][j - f - 1];
}
}
return mem[d][s];
}
// Driver code
int main(void)
{
cout << findWays(4, 2, 1) << endl;
cout << findWays(2, 2, 3) << endl;
cout << findWays(6, 3, 8) << endl;
cout << findWays(4, 2, 5) << endl;
cout << findWays(4, 3, 5) << endl;
return 0;
}
// This code is contributed by ankush_953
Java
/**
* The main function that returns number of ways to get sum 'x'
* with 'n' dice and 'm' with m faces.
*
* @author Pedro H. Chaves
*/
public class GFG {
/**
* Count ways
*
* @param f
* @param d
* @param s
* @return
*/
public static long findWays(int f, int d, int s) {
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
long mem[][] = new long[d + 1][s + 1];
// Table entries for no dices
// If you do not have any data, then the value must be 0, so the result is 1
mem[0][0] = 1;
// Iterate over dices
for(int i=1; i<=d; i++) {
// Iterate over sum
for(int j=i; j<=s; j++) {
// The result is obtained in two ways, pin the current dice and spending 1 of the value,
// so we have mem[i-1][j-1] remaining combinations, to find the remaining combinations we
// would have to pin the values ??above 1 then we use mem[i][j-1] to sum all combinations
// that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
// extra combinations, so we remove the combinations that only pin the extrapolated dice face and
// subtract the extrapolated combinations.
mem[i][j] = mem[i][j-1] + mem[i-1][j-1];
if(j-f-1 >= 0)
mem[i][j] -= mem[i-1][j-f-1];
}
}
return mem[d][s];
}
/**
* Main
*
* @param args
*/
public static void main(String[] args) {
System.out.println(findWays(4, 2, 1));
System.out.println(findWays(2, 2, 3));
System.out.println(findWays(6, 3, 8));
System.out.println(findWays(4, 2, 5));
System.out.println(findWays(4, 3, 5));
}
}
Python3
# Python program
# The main function that returns number of ways to get sum 'x'
# with 'n' dice and 'm' with m faces.
def findWays(f, d, s):
# Create a table to store results of subproblems. One extra
# row and column are used for simpilicity (Number of dice
# is directly used as row index and sum is directly used
# as column index). The entries in 0th row and 0th column
# are never used.
mem = [[0 for i in range(s+1)] for j in range(d+1)]
# Table entries for no dices
# If you do not have any data, then the value must be 0, so the result is 1
mem[0][0] = 1
# Iterate over dices
for i in range(1, d+1):
# Iterate over sum
for j in range(1, s+1):
# The result is obtained in two ways, pin the current dice and spending 1 of the value,
# so we have mem[i-1][j-1] remaining combinations, to find the remaining combinations we
# would have to pin the values ??above 1 then we use mem[i][j-1] to sum all combinations
# that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
# extra combinations, so we remove the combinations that only pin the extrapolated dice face and
# subtract the extrapolated combinations.
mem[i][j] = mem[i][j - 1] + mem[i - 1][j - 1]
if j - f - 1 >= 0:
mem[i][j] -= mem[i - 1][j - f - 1]
return mem[d][s]
# Driver code
print(findWays(4, 2, 1))
print(findWays(2, 2, 3))
print(findWays(6, 3, 8))
print(findWays(4, 2, 5))
print(findWays(4, 3, 5))
# This code is contributed by ankush_953
C#
// C# program
// The main function that returns number of ways to get sum 'x'
// with 'n' dice and 'm' with m faces.
using System;
class GFG
{
/**
* Count ways
*
* @param f
* @param d
* @param s
* @return
*/
public static long findWays(int f, int d, int s)
{
// Create a table to store results of subproblems. One extra
// row and column are used for simpilicity (Number of dice
// is directly used as row index and sum is directly used
// as column index). The entries in 0th row and 0th column
// are never used.
long [,]mem = new long[d + 1,s + 1];
// Table entries for no dices
// If you do not have any data, then the value must be 0, so the result is 1
mem[0,0] = 1;
// Iterate over dices
for(int i = 1; i <= d; i++)
{
// Iterate over sum
for(int j = i; j <= s; j++)
{
// The result is obtained in two ways, pin the current dice and spending 1 of the value,
// so we have mem[i-1,j-1] remaining combinations, to find the remaining combinations we
// would have to pin the values ??above 1 then we use mem[i,j-1] to sum all combinations
// that pin the remaining j-1's. But there is a way, when "j-f-1> = 0" we would be adding
// extra combinations, so we remove the combinations that only pin the extrapolated dice face and
// subtract the extrapolated combinations.
mem[i,j] = mem[i,j-1] + mem[i-1,j-1];
if(j-f-1 >= 0)
mem[i,j] -= mem[i-1,j-f-1];
}
}
return mem[d,s];
}
// Driver code
public static void Main(String[] args)
{
Console.WriteLine(findWays(4, 2, 1));
Console.WriteLine(findWays(2, 2, 3));
Console.WriteLine(findWays(6, 3, 8));
Console.WriteLine(findWays(4, 2, 5));
Console.WriteLine(findWays(4, 3, 5));
}
}
// This code is contributed by 29AjayKumar
输出 :
0
2
21
4
6
时间复杂度: O(n * x)其中n是骰子数,x是和。
锻炼:
扩展上述算法以找到使Sum> X的概率。