Go: package main

import (
	"bufio"
	"fmt"
	"math"
	"os"
	"strconv"
)

type Matrix struct {
	r int // num of row
	c int // num of column
}

type Range struct {
	start int // index, inclusive
	end   int // index, inclusive
}

func calcMultiplication(x, y Matrix) (Matrix, int) {
	if x.c != y.r {
		panic("cannnot calculate")
	}
	return Matrix{x.r, y.c}, x.r * y.c * x.c
}

func calcMinMatrixChainMultiplication(matrices []Matrix, r Range, memo map[Range]int) (Matrix, int) {
	if v, ok := memo[r]; ok {
		return Matrix{matrices[0].r, matrices[len(matrices)-1].c}, v
	}
	if len(matrices) == 0 {
		panic("must not be empty")
	} else if len(matrices) == 1 {
		return matrices[0], 0
	}

	var minCount int = math.MaxInt32

	for i := 0; i < len(matrices)-1; i++ {
		formerMatrices := matrices[:i+1]
		latterMatrices := matrices[i+1:]
		matF, countF := calcMinMatrixChainMultiplication(formerMatrices, Range{0, i}, memo)
		matL, countL := calcMinMatrixChainMultiplication(latterMatrices, Range{i + 1, len(matrices) - 1}, memo)
		_, countFL := calcMultiplication(matF, matL)
		count := countF + countL + countFL
		if count < minCount {
			minCount = count
		}
	}
	memo[r] = minCount
	return Matrix{matrices[0].r, matrices[len(matrices)-1].c}, minCount
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)
	n, _ := nextInt(sc)
	matrices := make([]Matrix, n)
	for i := 0; i < n; i++ {
		r, _ := nextInt(sc)
		c, _ := nextInt(sc)
		matrices[i] = Matrix{r, c}
	}
	memo := make(map[Range]int)
	_, resultCount := calcMinMatrixChainMultiplication(matrices, Range{0, len(matrices) - 1}, memo)
	fmt.Println(resultCount)
}

func nextInt(sc *bufio.Scanner) (int, error) {
	sc.Scan()
	return strconv.Atoi(sc.Text())
}

Python: """
n = input().split()

n = input()
nele = int(n[0])
list = range(1,nele+1)

nrow = {}
ncol = {}
for i in list:
	nrow[i] = int(n[i*2-1])
	ncol[i] = int(n[i*2])
"""

n = input()
nele = int(n[0])
list = range(1,nele+1)
nrow = {}
ncol = {}
for i in list:
	n = input().split()
	nrow[i] = int(n[0])
	ncol[i] = int(n[1])


#print(nrow, ncol)


min = -1
cur = -1
route = []
done = []

for i in list:
	route.append(0)

#print(route)

depth = -1
min = -1
def tansaku(prev, row_prev):
	
	global depth
	depth += 1
	
	global nrow
	global ncol
	global min
	global route
	
	done = route[:]
	
	for i in list:
#		print(depth, i, route, done)
		
		if i in done:
			continue
		
		next = i
		done.append(next)
		
		if depth == 0:
			route[depth] = next
			tmp = 0
			row_next = nrow[next]
			min = tansaku(tmp, row_next)
			continue
#		print(route, route[depth-1], next, nrow[route[depth-1]], ncol[next], prev)
#		tmp = prev + nrow[route[depth-1]] * ncol[next]
#		print(prev, row_prev, ncol[next])
		tmp = prev + row_prev * ncol[next]
		row_next = ncol[next]
#		print(depth, tmp)
		
		if tmp > min and min != -1:
#			print("aaa")
			continue
		else:
			route[depth] = next
			if depth >= nele-1:
#				print("bbb")
				min = tmp
			else:
#				print("ccc")
				min = tansaku(tmp, row_next)
	
	depth -= 1
	route[depth] = 0
#	print("min:", min)
	return min

min = tansaku(0, 0)

print(min)

Python: INF = 1e9

def MatrixChainMulti(n, p):
    dp = [[0 for _ in range(n+1)] for _ in range(n+1)]
    
    for i in range(n+1):
        dp[i][i] = 0
        
    for l in range(1, n): # 1<= l <= n-1
        for i in range(0, n-l+1): #0<= i <= n-l
            j = i + l
            dp[i][j] = INF
            for k in range(i, j): # i<= k <= j-1
                dp[i][j] = min(dp[i][j], dp[i][k] + dp[k+1][j] + p[i-1] * p[k] * p[j])
    
    return dp[1][n]

N = int(input())
p = []
a, b = list(map(int, input().split()))
p.append(a)
p.append(b)

for _ in range(N-1):
    c, d = list(map(int, input().split()))
    p.append(d)
    
print(MatrixChainMulti(N, p))

Python: def matrixChainMultiplication(M):
    # P ??????
    n = len(M)
    P = [M[0][0]]
    P += [M[i][1] for i in range(n)]
    # ?¨???¶?????? m ??????
    m = [[[] for _ in range(n + 1)] for _ in range(n + 1)]
    for i in range(n + 1):
            m[i][i] = 0

    # l???????±???¨?????????????????°
    for l in range(2, n + 1):
        for i in range(1, n - l + 2):
            j = i + l - 1
            m[i][j] = 9999999999999999
            for k in range(i, j):
                m[i][j] = min(m[i][j], m[i][k] + m[k + 1][j] + P[i -1] * P[k] * P[j])
    return m[1][n]


if __name__ == '__main__':
    n = int(input())
    M = [list(map(int, input().split())) for _ in range(n)]
    print(matrixChainMultiplication(M))

Python: n = int(input())
INFTY = 10**8

p = [0]*(n+1)
for i in range(n):
    roww = input().split()
    p[i] = int(roww[0])
    p[i+1] = int(roww[1])

M = [[0]*n for i in range(n)]

def matricChainMultiplication(n, p, M):
#     2つの行列積のmin, 次は3という風に増やしていく
    for l in range(2, n+1):
        for i in range(0, n - l + 1):
            j = i + l - 1 #積を見る最大のIndex
            M[i][j] = INFTY
            for k in range(i, j):
                M[i][j] = min(M[i][j],
                              M[i][k] + M[k+1][j] +
                              p[i] * p[k+1] * p[j+1] )
#                 print(l, i, j, k, M[i][j])
    return M[0][n-1]

print(matricChainMultiplication(n, p, M))

Python: """
n = input().split()

n = input()
nele = int(n[0])
list = range(1,nele+1)

nrow = {}
ncol = {}
for i in list:
	nrow[i] = int(n[i*2-1])
	ncol[i] = int(n[i*2])
"""

n = input()
nele = int(n[0])
list = range(1,nele+1)
nrow = {}
ncol = {}
for i in list:
	n = input().split()
	nrow[i] = int(n[0])
	ncol[i] = int(n[1])


#print(nrow, ncol)


min = -1
cur = -1
route = []
done = []

for i in list:
	route.append(0)

#print(route)

depth = -1
min = -1
def tansaku(prev, row_prev):
	
	global depth
	depth += 1
	
	global nrow
	global ncol
	global min
	global route
	
	done = route[:]
	
	for i in list:
#		print(depth, i, route, done)
		
		if i in done:
			continue
		
		next = i
		done.append(next)
		
		if depth == 0:
			route[depth] = next
			tmp = 0
			row_next = nrow[next]
			min = tansaku(tmp, row_next)
			continue
#		print(route, route[depth-1], next, nrow[route[depth-1]], ncol[next], prev)
#		tmp = prev + nrow[route[depth-1]] * ncol[next]
#		print(prev, row_prev, ncol[next])
		tmp = prev + row_prev * ncol[next]
		row_next = ncol[next]
#		print(depth, tmp)
		
		if tmp > min and min != -1:
#			print("aaa")
			continue
		else:
			route[depth] = next
			if depth >= nele-1:
#				print("bbb")
				min = tmp
			else:
#				print("ccc")
				min = tansaku(tmp, row_next)
	
	depth -= 1
	route[depth] = 0
#	print("min:", min)
	return min

min = tansaku(0, 0)

print(min)

Python: # Matrix Chain Multiplication
import sys

N = int(input())
p = [0] * (N + 1)
for i in range(N):
    p[i], p[i + 1] = map(int, input().split())

dp = [[0 for _ in range(N + 1)] for _ in range(N + 1)]
for l in range(2, N + 1):
    for i in range(1, N - l + 2):
        j = i + l - 1
        dp[i][j] = sys.maxsize
        for k in range(i, j):
            dp[i][j] = min(dp[i][j],
                           dp[i][k] + dp[k + 1][j] + p[i - 1] * p[k] * p[j])

print(dp[1][N])

Python: def s():
 n=int(input())+1
 e=[input().split()for _  in[0]*~-n]
 p=[int(e[0][0])]+list(int(x[1])for x in e)
 m=[[0]*n for _ in[0]*n]
 for l in range(2,n):
  for i in range(1,n-l+1):
   j=i+l-1;m[i][j]=1e6
   for k in range(i,j):m[i][j]=min(m[i][j],m[i][k]+m[k+1][j]+p[i-1]*p[k]*p[j])
 print(m[1][n-1])
if'__main__'==__name__:s()

Python: n = int(input())
mat = []
for _ in range(n):
    mat.append(list(map(int, input().split())))
inf = int(1e11 + 10)
dp = [[inf]*(n + 1) for _ in range(n + 1)]
for i in range(n):
    dp[i][i] = 0
for l in range(2, n + 1):
    for i in range(n):
        j = i + l - 1
        if i + l > n:
            break
        for k in range(i, j):
            dp[i][j] = min(dp[i][j], dp[i][k] + dp[k + 1][j] + mat[i][0]*mat[k][1]*mat[j][1])
print(dp[0][n - 1])