Go: package main

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

var cache [100][100]int

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)
	sc.Scan()
	num, _ := strconv.Atoi(sc.Text())
	tables := []table{}
	for i := 0; i < num; i++ {
		sc.Scan()
		num1, _ := strconv.Atoi(sc.Text())
		sc.Scan()
		num2, _ := strconv.Atoi(sc.Text())
		t := table{num1, num2}
		tables = append(tables, t)
	}

	fmt.Println(minimum(0, len(tables)-1, tables))
}

type table struct {
	v int
	h int
}

func minimum(i int, j int, t []table) int {
	if i == j {
		return 0
	}

	// fmt.Printf("i:%v j:%v\n", i, j)
	if cache[i][j] != 0 {
		return cache[i][j]
	}

	min := math.MaxInt64
	for k := i; k < j; k++ {
		p := t[i].v
		n := t[k].h
		q := t[j].h
		val := minimum(i, k, t) + minimum(k+1, j, t) + p*n*q
		if val < min {
			min = val
		}
	}

	cache[i][j] = min
	return min
}

Python: def matrixChainMultiplication(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+1+1):
            j = i + l - 1
            m[i][j] = 999999999
            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]

n = int(input())
squareM = [input().split(" ") for _ in range(n)]
p = [int(squareM[i][0]) for i in range(n)]
p.append(int(squareM[n-1][1]))
m = [[0]*(n+1) for _ in range(n+1)]
print(matrixChainMultiplication(n))

Python: n = int(input())
m = [[0 for j in range(n + 1)] for i in range(n + 1)]
z = [0] * (n + 1)
for i in range(1, n + 1):
    z[i - 1], z[i] = map(int, input().split())
j = 0
for l in range(2, n + 1):
    for i in range(1, n - l + 2):
        j = i + l - 1
        m[i][j] = int(1e8)
        for k in range(i, j):
            m[i][j] = min(m[i][j], m[i][k] + m[k + 1][j] + z[i - 1] * z[k] * z[j])
print(m[1][n])

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(cost[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: n = int(input())
p = [list(map(int, input().split())) for i in range(n)]

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

for l in range(2, n + 1):
  for i in range(n - l + 1):
    j = i + l - 1
    m[i][j] = float('inf')
    for k in range(i, j):
      cost = m[i][k] + m[k + 1][j] + p[i][0] * p[k][1] * p[j][1]
      m[i][j] = min(m[i][j], cost)

print(m[0][n - 1])

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, itertools

n = int(sys.stdin.readline())
if n==1:
    print(0)
    quit()

MM = [list(map(int, sys.stdin.readline().split())) for _ in range(n)]

amin = 0
m = MM[0][:]
for i in range(n-1):
    amin += m[0]*m[1]*MM[i+1][1]
    m[1]=MM[i+1][1]


for t in itertools.permutations(range(n-1), n-2):

    mm=[m[:] for m in MM]
    o = list(t)
    ans=0
    for _ in range(n-2):
        i = o.pop(0)
        ans += mm[i][0]*mm[i+1][1]*mm[i][1]
        if ans>amin: break
        mm[i][1] = mm[i+1][1]
        mm.pop(i+1)
        
        for j in range(len(o)):
            if o[j]>i: o[j] -=1
    else:
        ans += mm[0][0]*mm[0][1]*mm[1][1]
        if amin>ans: amin=ans


print(amin)

Python: # ALDS_10_B - 連鎖行列積

import sys

N = int(input())

M = []
for n in range(N):
    r, c = map(int, sys.stdin.readline().strip().split())
    if n == 0:
        M.append(r)
    M.append(c)


# dp 初期化
dp = [[float('inf')] * N for _ in range(N)]
for n in range(N):
    dp[n][n] = 0

# dp 更新
for l in range(1, N):
    for i in range(N - l):
        j = i + l
        for k in range(i, j):
            # print(f'k: {k}, i: {i}, j: {j}')
            dp[i][j] = min(dp[i][j], dp[i][k] + dp[k + 1][j] + M[i] * M[k + 1] * M[j + 1])

# for i in range(len(dp)):
#     print(dp[i])

print(dp[0][N - 1])

Python: N = int(input())
RC = [0] * N
for i in range(N):
  RC[i] = list(map(int, input().split()))
  
dp = [[float("inf")] * (N + 1) for _ in range(N + 1)]
for l in range(N + 1):
  for r in range(l, N + 1):
    if abs(l - r) <= 1:
      dp[l][r] = 0
    elif abs(l - r) == 2:
      dp[l][r] = RC[l][0] * RC[l][1] * RC[l + 1][1]
      
#print(dp)
#print("")
now = 3
while now <= N:
  for l in range(N + 1):
    #print(l, now)
    r = l + now
    if r <= N:
      for k in range(l + 1, r):
        dp[l][r] = min(dp[l][r], dp[l][k] + dp[k][r] + RC[l][0] * RC[k][0] *RC[r - 1][1])
  now += 1
        
print(dp[0][N])

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

INF = 10**18    
dp = [[INF]*(n+1) for _ in range(n+1)]
for i in range(1,n+1):
    dp[i][i] = 0
for l in range(1,n):
    for i in range(1,n+1-l):
        dp[i][i+l] = min(dp[i][k]+ dp[k+1][i+l] + R[i]*C[k]*C[i+l] for k in range(i,i+l))

print(dp[1][n])

Python: # coding: utf-8

INF = 1 << 60
n = int(input().rstrip())
r = [0 for _ in range(n+10)]
c = [0 for _ in range(n+10)]
# i番目の行列からj番目の行列までの最小値
dp = [[INF for _ in range(n+10)] for _ in range(n+10)]
for i in range(n):
    line = input().rstrip().split()
    r[i] = int(line[0])
    c[i] = int(line[1])
    
for i in range(n):
    dp[i][i] = 0

# 行列の距離が近い方から計算しなくてはいけない！
for l in range(1,n):
    for i in range(n - l):
        j = i + l
        for k in range(i,j):
            dp[i][j] = min(dp[i][j], dp[i][k] + dp[k+1][j] + r[i]*c[k]*c[j])
            
print(dp[0][n-1])

Python: n = int(input())
m = [[0] * (n + 1) for _ in range(n + 1)]
z = [0] * (n + 1)
for i in range(n):
    z[i], z[i + 1] = map(int, input().split())
j = 0
for l in range(2, n + 1):
    for i in range(1, n - l + 2):
        j = i + l - 1
        m[i][j] = float("inf")
        for k in range(i, j):
            m[i][j] = min(m[i][j], m[i][k] + m[k + 1][j] + z[i - 1] * z[k] * z[j])
print(m[1][n])