Go: package main

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

//util
var sc = bufio.NewScanner(os.Stdin)

func nextStr() string {
	sc.Scan()
	return sc.Text()
}

func nextInt() int {
	sc.Scan()
	i, e := strconv.Atoi(sc.Text())
	if e != nil {
		panic(e)
	}
	return i
}

func printList(list []int) {
	buf := bufio.NewWriter(os.Stdout)
	for _, v := range list {
		buf.Write([]byte(fmt.Sprintf(" %d", v)))
	}
	buf.Write([]byte("\n"))
	buf.Flush()
}

//solve
//単純な場合
func matrixChainMultiplication() {
	//行列が1つだけのとき
	for i := 1; i <= n; i++ {
		m[i][i] = 0
	}
	for l := 2; l <= n; l++ {
		for i := 1; i <= n-l+1; i++ {
			j := i + l - 1
			m[i][j] = 1 << 21
			//kまでで区切る
			for k := i; k <= j-1; k++ {
				m[i][j] = min(m[i][j], m[i][k]+m[k+1][j]+p[i-1]*p[k]*p[j])
			}
		}
	}
}

func max(a, b int) int {
	if a > b {
		return a
	} else {
		return b
	}
}

func min(a, b int) int {
	if a > b {
		return b
	} else {
		return a
	}
}

const MAX = 100

var n int
var p [MAX + 1]int

//m[i][j]: Mi * Mi+1 * ... * Mjを計算するときに必要なスカラー乗算の最小回数
var m [MAX + 1][MAX + 1]int

func main() {
	sc.Split(bufio.ScanWords)
	n = nextInt()
	for i := 1; i <= n; i++ {

		p[i-1] = nextInt() //行数
		p[i] = nextInt()   //列数
	}

	matrixChainMultiplication()
	fmt.Println(m[1][n])
}

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

dp=[[10**10]*(n) for i in range(n)]    
#dp=[[0]*(n+1) for i in range(n+1)]    
    
#dp[0][1]=p[0]*p[1]*p[2]
dp[0][0]=0
for j in range(1,n):
    for i in range(j,-1,-1):
#        print("-------------i:",i,"j:",j)
        if j==i:
            dp[i][j]=0
#            print("i:",i,"j:",j,"k:",999)
        else:
#            for k in range(i+1,j):
            for k in range(j-1,i-1,-1):
#                dp[i][j]=min(dp[i][j],dp[i][k]+dp[k+1][j]+p[i-1]*p[k]*p[j])
                dp[i][j]=min(dp[i][j],dp[i][k]+dp[k+1][j]+p[i]*p[k+1]*p[j+1])
#                print("i:",i,"j:",j,"k:",k)
#                print(dp[i][j],dp[i][k],dp[k+1][j],p[i-1]*p[k]+p[j])
print(dp[0][n-1])

Python: def matrixChainMultiplication(p):
    # p = [p_0, p_1, ..., p_n]
    n = len(p) - 1
    # n+1 x n+1 zero matrix?????????(0,...,n)
    # cost(i,j): (M_i...M_j)???????°??????????
    cost = [[0 for _ in range(n + 1)] for _ in range(n + 1)]
    for numOfMatrices in range(2, n + 1):
        for i in range(1, n - numOfMatrices + 2):
            j = i + numOfMatrices - 1
            cost[i][j] = float('inf')
            for k in range(i, j):
                cost[i][j] = min(cost[i][j], cost[i][k] + cost[k + 1][j] + p[i - 1] * p[k] * p[j])
    print(m[1][n])

p = []
n = int(input())

for _ in range(n):
    listed_input = input().split()
    p.append(int(listed_input[0]))
p.append(int(listed_input[1]))

matrixChainMultiplication(p)

Python: #!/usr/bin/env python3
# -*- coding: utf-8 -*-

import sys
import re
import math
import collections
import itertools
import functools

DEBUG = True
DEBUG = False

def dbg(*args):
    if DEBUG:
        print("DBG: ", file=sys.stderr, end="")
        print(*args, file=sys.stderr)

Mat = collections.namedtuple("Mat", "r c")

def mat_mul(ms):
    return Mat(ms[0].r, ms[-1].c)

def cost(m1, m2):
    return m1.r * m1.c * m2.c

def solve(n, ms):
    if n == 1: return 0

    dp = {}
    for i in range(n):
        dp[(i,i)] = 0

    for l in range(2, n+1):
        for i in range(n-l+1):
            #cost_min = math.inf
            cost_min = float("inf")
            for j in range(l-1):
                dbg("l, i, j: %d %d %d", l, i, j)
                m_lhs = mat_mul(ms[i:i+j+1])
                m_rhs = mat_mul(ms[i+j+1:i+l])
                dbg("m_lhs, m_rhs: %r %r", m_lhs, m_rhs)
                cost_lhs = dp[(i,i+j)]
                cost_rhs = dp[(i+j+1,i+l-1)]
                dbg("cost_lhs, cost_rhs: %d %d", cost_lhs, cost_rhs)
                cost_mul = cost(m_lhs, m_rhs)
                dbg("cost_mul: %d", cost_mul)
                cost_now = cost_mul + cost_lhs + cost_rhs
                dbg("cost_now: %d", cost_now)
                if cost_min > cost_now:
                    cost_min = cost_now
            dp[(i,i+l-1)] = cost_min

    dbg(dp)
    return dp[(0,n-1)]

def main():
    n = int(input())

    ms = []
    for _ in range(n):
        r,c = map(int, input().split())
        ms.append(Mat(r,c))

    print(solve(n, ms))

if __name__ == "__main__": main()

Python: import sys
n = int(input())
input_list = [[int(i) for i in str.split()] for str in sys.stdin.read().splitlines()]
size_list = [0 for i in range(n+1)]
size_list[0] = input_list[0][0]
for i in range(1,n+1):
    size_list[i] = input_list[i-1][1]


m = [[float('inf') for i in range(n)] for j in range(n)]

for i in range(n):
    m[i][i] = 0

for x in range(n):
    i, j = 0, x
    for y in range(n-x):
        for k in range(i, j):
            m[i][j] = min(m[i][j], m[i][k] + m[k+1][j] + size_list[i]*size_list[k+1]*size_list[j+1])
        i, j = i+1, j+1

print(m[0][-1])

Python: N = int(input())
R = [0]*N
C = [0]*N
for i in range(N):
    R[i], C[i] = map(int, input().split())

INF = 10**18
dp = [[INF]*N for i in range(N)]
for i in range(N):
    dp[i][i] = 0
for l in range(1, N):
    for i in range(N-l):
        a0 = R[i]
        c0 = C[i+l]
        dp[i][i+l] = min(a0*C[j]*c0 + dp[i][j] + dp[j+1][i+l] for j in range(i, i+l))
print(dp[0][N-1])

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 i in range(n):
  for r in range(n-i-1):
   c=r+i+1
   for j in range(r+1,c):
    x=m[r][j]+m[j][c]+p[r]*p[j]*p[c]
    if not 0<m[r][c]<=x:m[r][c]=x
 print(m[r][c])
if'__main__'==__name__:s()

Python: INFTY = 100 * 100 * 100 + 1  # 1 ≤ r,c ≤ 100


n = int(input())

p = [None for _ in range(n + 1)]
m = [[None] * (n + 1) for _ in range(n + 1)]

for i in range(n):
    r, c = map(int, input().split())

    if i == 0:
        p[0] = r

    p[i + 1] = c

def matrix_chain_multiplication():
    for i in range(1, n + 1):
        m[i][i] = 0

    for l in range(2, n + 1):
        for i in range(1, n - l + 1 + 1):
            j = i + l - 1
            m[i][j] = INFTY
            for k in range(i, j - 1 + 1):
                m[i][j] = min(m[i][j], m[i][k] + m[k + 1][j] + p[i - 1] * p[k] * p[j])


matrix_chain_multiplication()
print(m[1][n])

Python: def main():
    n=int(input())
    lst=tuple(tuple(map(int,input().split())) for _ in range(n))

    dp=[[0]*n for _ in range(n)]
    for i in range(1,n):
        for j in range(0,n-i):
            dp[j][j+i]=dp[j+1][j+i]+lst[j][0]*lst[j][1]*lst[j+i][1]
            for k in range(1,i):
                nwork=dp[j][j+k]+dp[j+k+1][j+i]+lst[j][0]*lst[j+k][1]*lst[j+i][1]
                if dp[j][j+i]>nwork : dp[j][j+i]=nwork
    
    print(dp[0][n-1])

main()

Python: n = int(input())
c = [0]*(n+1)
c[0], c[1] = map(int, input().split())
for i in range(2, n+1):
    c[i] = int(input().split()[1])

dp = [[10**7]*(n+1) for i in range(n+1)]  # dp[i][j] <- M_i~M_j

for i in range(1, n+1):  # l=1
    dp[i][i] = 0

for l in range(2, n+1):  # l=j-i+1(length of chain)
    for i in range(1, n-l+2):
        j = i+l-1
        for k in range(i, j):  # kirutokoro
            dp[i][j] = min(dp[i][j], dp[i][k] + dp[k+1][j] + c[i-1]*c[k]*c[j])

print(dp[1][n])

Python: n = int(input())
RC = [list(map(int, input().split())) for _ in range(n)]
R = [RC[i][0] for i in range(n)]
C = [RC[i][1] for i in range(n)]

#n = 6
#R = [30, 35, 15, 5, 10, 20]
#C = [35, 15, 5, 10, 20, 25]

m = [[10**18]*(n+1) for _ in range(n+1)]
for i in range(n+1):
    m[i][i] = 0
    
for l in range(1, n):
    for i in range(1, n+1-l):
        m[i][i+l] = min([m[i][j] + m[j+1][i+l] + R[i-1]*C[j-1]*C[i+l-1] for j in range(i, i+l)])
        #print(i, i+l)
print(m[1][n])