Go: package main

/*
連鎖行列積
*/

import (
	"bufio"
	"bytes"
	"fmt"
	"log"
	"math"
	"os"
	"strconv"
	"strings"
)

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

type mem *[][]int

func main() {
	scanner := makeScanner(1024)
	n := eGetInt(scanner)
	p := make([]int, n+1)
	for i := 0; i < n; i++ {
		rowcol := eGetInts(scanner)
		p[i] = rowcol[0]
		p[i+1] = rowcol[1]
	}
	m := make([][]int, n)
	for i := 0; i < n; i++ {
		m[i] = make([]int, n)
	}
	// 初期値の格納
	for i := 0; i < n; i++ {
		for j := i; j < n; j++ {
			if i == j {
				m[i][j] = 0 //  同じ行列へのコストは当然0
			} else {
				m[i][j] = math.MaxInt64
			}
		}
	}

	// num : 行列の数. num == 1の場合は初期値0を格納ずみ
	for num := 2; num <= n; num++ {
		// s : スタート行列番号
		for s := 0; s+num <= n; s++ {
			// t : 終了行列番号
			t := s + num - 1
			// k : 仕切
			for k := s; k < t; k++ {
				m[s][t] = min(m[s][t], m[s][k]+m[k+1][t]+p[s]*p[k+1]*p[t+1])
			}
		}
	}
	fmt.Println(m[0][n-1])
}

////////////////////////////////////////////////////////////////////////////////
// ライブラリ
////////////////////////////////////////////////////////////////////////////////
func makeScanner(maxByte int) *bufio.Scanner {
	scanner := bufio.NewScanner(os.Stdin)
	scanner.Buffer(make([]uint8, 0, 8192), maxByte)
	return scanner
}
func makeWordScanner() *bufio.Scanner {
	scanner := makeScanner(8192)
	scanner.Split(bufio.ScanWords)
	return scanner
}
func eGetLine(r *bufio.Scanner) string {
	if r.Scan() {
		return r.Text()
	}
	err := r.Err()
	if err != nil {
		log.Fatal(err)
	}
	// EOF
	return ""
}
func eGetInt(r *bufio.Scanner) int {
	line := eGetLine(r)
	return eAtoi(line)
}
func eGetFields(r *bufio.Scanner) []string {
	line := eGetLine(r)
	return strings.Fields(line)
}
func eGetInts(r *bufio.Scanner) []int {
	fields := eGetFields(r)
	ints := make([]int, len(fields))
	for i := 0; i < len(ints); i++ {
		ints[i] = eAtoi(fields[i])
	}
	return ints
}
func eGetChars(r *bufio.Scanner) []string {
	line := eGetLine(r)
	return strings.Split(line, "")
}
func eAtoi(s string) int {
	n, err := strconv.Atoi(s)
	if err != nil {
		log.Fatal(err)
	}
	return n
}

type ints []int

func (s ints) String() string {
	var buf bytes.Buffer
	buf.WriteString("[")
	sep := ""
	for _, v := range s {
		buf.WriteString(fmt.Sprintf("%s%d", sep, v))
		sep = ", "
	}
	buf.WriteString("]")
	return buf.String()
}

func reverse(a ints) ints {
	r := make(ints, len(a))
	for i := 0; i < len(a); i++ {
		r[i] = a[len(a)-1-i]
	}
	return r
}
func max(a ints) (int, bool) {
	if len(a) == 0 {
		return 0, false
	}
	m := a[0]
	for _, e := range a {
		if e > m {
			m = e
		}
	}
	return m, true
}

// func min(a []int) int {
// 	m := a[0]
// 	for _, v := range a {
// 		if v < m {
// 			m = v
// 		}
// 	}
// 	return m
// }

func sum(a ints) int {
	if len(a) == 0 {
		return 0
	}
	sum := 0
	for _, e := range a {
		sum += e
	}
	return sum
}
func find(n int, a ints) int {
	for i, v := range a {
		if n == v {
			return i
		}
	}
	return -1
}

Python: N = int(input())

for i in range(N):
    if i == 0:
        P = list(map(int, input().split()))  # Pは各行列の次元
        continue
    P.append(int(input().split()[1]))

# dpテーブルの用意 minを取るときはinf埋めしておくと処理が楽になるしバグが見つかりやすい
#dp[i][j]は(Mi...Mj)のminコストを入れる
INF = 2**32-1
dp = [[INF]*N for _ in range(N)]

#dpテーブルの対角成分を0で初期化
#dp[s][s]はMsのminコストを表す（Msは単独の行列）
for ij in range(N):
    dp[ij][ij] = 0

# 最終的に求めたいのはdp[0][N]だが、計算途中で繰り返すそれぞれの行列積をdpに入れておくことで効率化
for l in range(1, N):  # l は対象とする行列の個数を表す
    for i in range(N):
        j = i+l   # Mj はMiから何個の行列を考えるかで決まる
        if j >= N:  # 計算するのはインデックスはN-1まで
            continue
        for k in range(i, j):  # (Mi...Mk)(Mk+1...Mj) のようにどこでMkで区切るかを動かす
            dp[i][j] = min(dp[i][k] + dp[k+1][j] + P[i] * P[j+1]*P[k+1], dp[i][j]) # 
print(dp[0][-1])

Python: import sys

p=[0 for i in range (101)]
m=[[0 for i in range(100)]for i in range(100)]

def MatrixChain(n) : 
	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+2) : 
			j = i + l - 1
			m[i][j] = float('Infinity')
			for k in range(i,j) :
				q = m[i][k] + m[k+1][j] + p[i-1]*p[k]*p[j]
				m[i][j] = m[i][j] if m[i][j] <= q else q

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

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

Python: import sys


def getmin(i, j, mlist, memo={}):
    if i == j:
        return 0
    elif (i, j) in memo:
        return memo[(i, j)]
    else:
        ret = sys.maxsize
        for k in range(i, j):
            p = mlist[i][0]
            n = mlist[k][1]
            q = mlist[j][1]
            tmp = getmin(i, k, mlist, memo) + \
                getmin(k+1, j, mlist, memo) + p*n*q

            if tmp < ret:
                ret = tmp

        memo[(i, j)] = ret
        return memo[(i, j)]


def main():
    n = int(input())
    M = [[0, 0] for i in range(n)]
    for i in range(n):
        M[i] = list(map(int, input().split()))

    print(getmin(0, n-1, M))


if __name__ == '__main__':
    main()

Python: N=int(input())

input_=[N]
for n in range(N):
    input_.append(input())
    
P=[]
for n in range(N):
    P.append(int(input_[n+1].split()[0]))
    
P.append(int(input_[n+1].split()[1]))

M=[[0]*(N) for x in range(N)]

for n in range(1,N):
    for i in range(N-n):
        M[i][i+n]=10**100
        for k in range(i,i+n):
            P_0=P[i]
            P_1=P[k+1]
            P_2=P[i+n+1]
            M_=M[i][k]+M[k+1][i+n]+P_0*P_1*P_2
            M[i][i+n]=min(M[i][i+n],M_)
            
print(M[0][-1])

Python: N = int(input())

for i in range(N):
    if i == 0:
        P = list(map(int, input().split()))
        continue
    P.append(int(input().split()[1]))

INF = 2 ** 32 - 1
dp = [[INF] * N for _ in range(N)]

for ij in range(N):
    dp[ij][ij] = 0

for l in range(1, N):
    for i in range(N):
        j = i + l
        if j >= N:
            continue
        for k in range(i, j):
            dp[i][j] = min(dp[i][k] + dp[k+1][j] + P[i] * P[j+1]*P[k+1],
                           dp[i][j])

print(dp[0][-1])

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

import sys


def mat_mul_opt(_mat_info):
    rc_info.extend(list(map(int, _mat_info[0])))
    rc_info.extend(list(map(lambda x: int(x[1]), _mat_info[1:])))

    for l in range(2, mat_num + 1):
        for i in range(1, mat_num - l + 2):
            j = i + l - 1
            ans[i][j] = 1e7
            for k in range(i, j):
                ans[i][j] = min(ans[i][j], ans[i][k] + ans[k + 1][j] +
                                rc_info[i - 1] * rc_info[k] * rc_info[j])

    return ans[1][mat_num]


if __name__ == '__main__':
    _input = sys.stdin.readlines()
    mat_num = int(_input[0])
    mat_info = tuple(map(lambda x: x.split(), _input[1:]))

    rc_info = []
    ans = [[0] * (mat_num + 1) for _ in range(mat_num + 1)]
    print(mat_mul_opt(mat_info))

Python: def main():
    """ MAIN """
    DAT = []
    num = int(input())
    for i in range(num):
        x, y = list(map(int,input().split()))
        DAT.append(x)
    DAT.append(y)
    num1 = num + 1
    TBL = [[0] * num1 for i in range(num1)]

    for i in range(0, num1):
        for row in range(num-i):
            col = row + i + 1
            for j in range(row+1,col):
                x = DAT[row] * DAT[j] * DAT[col] + TBL[row][j] + TBL[j][col]
                if TBL[row][col] < 1 or TBL[row][col] > x:
                    TBL[row][col] = x

    print("{}".format(TBL[row][col]))

if __name__ == '__main__':
    main()