我该如何回答-“如果允许步骤R(向右)和U(向上)以及对角线,则计算从(0,0)到(7,9)的可能路径总数步骤D:(x,y)→(x + 1,y + 1)“
答案 0 :(得分:0)
编辑:添加了对任意单元格(不仅是对角单元格)的计算。
正方形网格上的路数称为Delannoy number,其中(n,n)个单元格序列为1, 3, 13, 63, 321, 1683, 8989...
自然复发很简单
D(m, n) = D(m-1, n) + D(m, n-1) + D(m-1,n-1)
可用于相当快地计算出合理的参数值(表方法,包括长求和在内的O(nm)运算)。
“封闭式”
D(m, n) = Sum[k=0..min(n, m)] {C(m + n - k, m) * C(m, k)}
有效实施需要二项式系数表
#2D table quadratic approach
def PathsInSqGrid(n, m):
D = [[0 for x in range(m+1)] for y in range(n+1)]
for i in range(n+1):
D[i][0] = 1
for i in range(m+1):
D[0][i] = 1
for i in range(1, n+1):
for j in range(1,m+1):
D[i][j] = D[i][j-1] + D[i-1][j] + D[i-1][j-1]
return D[n][m]
def NCr(n, k):
result = 1
if k > n - k:
k = n - k
for i in range (1, k + 1):
result = (result * (n - i + 1)) // i
return result
#closed formula
def PathsCF(n, m):
#D(m, n) = Sum[k=0..min(n, m)] {C(m + n - k, m) * C(m, k)}
res = 0
for k in range(0, min(n, m) + 1):
res += NCr(m + n - k, m) *NCr(m, k)
return res
print(PathsInSqGrid(7, 9))
print(PathsCF(7, 9))
>>>
224143
224143
Wiki还为中心Delannoy数显示了两个所谓的“封闭式”(尽管我认为封闭式应该是没有长度n的循环的单个表达式):
D(n) = Sum[k=0..n]{C(n,k)*C(n+k,k)}
D(n) = Sum[k=0..n]{C(n,k)^2 * 2^n}
和递归(看起来简单,线性复杂,但是实际的实现需要将长数除以短数)
n*D(n) = 3*(2*n-1) * D(n-1) - (n-1)*D(n-2)
并生成函数
Sum[n=0..Inf]{D(n)*x^n} = 1/Sqrt(1 - 6 * x + x^2) = 1 + 3x + 13x^2 + 63x^3 +...
代码
#central Delannoy numbers
#2D table quadratic approach
#linear approach for diagonal cell (n,n)
def PathsInSqGridLin(n):
if n < 2:
return 2 * n + 1
A, B = 1, 3
for i in range(2, n + 1):
B, A = (3 * (2 * i - 1) * B - (i - 1) * A) // i, B
return B
print(PathsInSqGridLin(3))
print(PathsInSqGridLin(100))
>>
63
2053716830872415770228778006271971120334843128349550587141047275840274143041