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
	} else if len(matrices) == 2 {
		return calcMultiplication(matrices[0], matrices[1])
	}

	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
		}
	}
	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: import sys

n = int(input())
m = []
for i in range(n):
    inpt = list(map(int, input().split( )))
    m.append(inpt)

lrg = 1000000
DP = [[lrg for i in range(n)] for j in range(n)]


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

if n >= 1:
    for i in range(n-1):
        DP[i][i+1] = m[i][0]*m[i][1]*m[i+1][1]

for d in range(2,n):
    for i in range(n-d):
        for j in range(i+1,i+d):
            DP[i][i+d] = min(DP[i][i+d],DP[i][j]+DP[j+1][i+d]+m[i][0]*m[j][1]*m[i+d][1])

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

Python: n = int(input())

dimensions = []
for i in range(n):
    a, b = map(int, input().split())
    if i == 0:
        dimensions.append(a)
    dimensions.append(b)
inf = float('inf')
dps = [[inf for _ in range(n)] for _ in range(n)]
for i in range(n):
    dps[i][i] = 0
for i in range(n - 1, -1, -1):
    for j in range(i + 1, n):
        for k in range(i, j):
            dps[i][j] = min(dps[i][j],
                            dps[i][k] + dps[k + 1][j] + (dimensions[i] * dimensions[k + 1] * dimensions[j + 1]))
print(dps[0][n - 1])

Python: N = int(input())
M = [[int(x) for x in input().split()] for _ in range(N)]

p = []

for m in M:
    p.append(m[0])

p.append(M[-1][1])

dp = [[0] * N for j in range(N)]

for l in range(2, N + 1):
    for i in range(N + 1 - l):
        j = i + l - 1
        dp[i][j] = float("inf")
        for k in range(i, j):
            dp[i][j] = min(dp[i][j], dp[i][k] + dp[k + 1][j] + p[i] * p[k + 1] * p[j + 1])

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

Python: # http://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=ALDS1_10_B&lang=ja
# http://algorithms.blog55.fc2.com/blog-entry-66.html
# https://www.geeksforgeeks.org/python-program-for-matrix-chain-multiplication-dp-8/
import sys

sys.setrecursionlimit(10 ** 6)
n = int(input())
r = []
for i in range(n):
    a, b = map(int, input().split())
    if i == 0:
        r.append(a)
        r.append(b)
    else:
        r.append(b)

dp = [[float('inf')] * (n + 1) for _ in range(n + 1)]


# dp[i][j] MiMi+1...Mjを計算する最適なコスト
# M[1][2] = M[1][1] + M[2][2] +
def chain_order(i, j):
    if i == j:
        return 0
    if dp[i][j] != float('inf'):
        return dp[i][j]
    for k in range(i, j):
        dp[i][j] = min(dp[i][j], chain_order(i, k) + chain_order(k + 1, j) + r[i - 1] * r[k] * r[j])
    return dp[i][j]


# print(r)
print(chain_order(1, len(r)-1))

Python: n=int(input())
m=[]
for i in range(n-1):
    tmp=list(map(int,input().split()))
    m.append(tmp[0])
m.extend(list(map(int,input().split())))
dp=[[10**9]*n for i in range(n)]
for i in range(n):
    dp[i][i]=0
for W in range(1,n):
    for l in range(n-W):
        r=l+W
        for k in range(l,r+1):
            dp[l][r]=min(dp[l][r],m[l]*m[k]*m[r+1]+dp[l][k-1]+dp[k][r])
print(dp[0][n-1])

Python: def main():
    N = int(input())
    p = []
    for i in range(N):
        a, b = map(int, input().split())
        p.append(a)
    else:
        p.append(b)

    m = [[1e10]*(N+1) for _ in range(N+1)]
    for i in range(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] = 1e10
            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])


if __name__ == '__main__':
    main()

Python: def resolve():
    # cf. http://judge.u-aizu.ac.jp/onlinejudge/description.jsp?id=ALDS1_10_B&lang=ja
    # http://agent.inf.kyushu-u.ac.jp/~yokoo/lecture/DA2_03.pdf
    def matrix_chain_multiplication(n):
        """
        連鎖行列積問題：
        n 個の行列について、行列 M_i の次元が与えられたとき、
        積 M_1 M_2...M_n の計算に必要なスカラー乗算の最小の回数を返す
        """
        m = [[0 for x in range(n + 1)] for y in range(n + 1)]
        for l in range(2, n + 1):
            for i in range(1, n - l + 2):
                j = i + l - 1
                m[i][j] = 99000001
                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]

    # M1からMnの行数と、Mnの列数を格納。
    # 積が定義されている以上型が合っているはずなのでその他は不要
    p = []

    # 行列の数n
    n = int(input())

    # 行列Mi(i=1...n)の次元r、c
    # rは行数、cは列数
    for i in range(n):
        listed_input = input().split()
        p.append(int(listed_input[0]))

    p.append(int(listed_input[1]))

    print(matrix_chain_multiplication(n))


resolve()

Python: # -*- coding: utf-8 -*-

import random
import sys
import os
import pprint


"""Matrix Chain Multiplication"""

#fd = os.open('ALDS1_10_B.txt', os.O_RDONLY)
#os.dup2(fd, sys.stdin.fileno())

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

memo = [[0 for i in range(n+1)] for j in range(n+1)]
#pprint.pprint(memo)

for length in range(2, n+1):
    for start_index in range(1, n - length + 2):
        end_index = start_index + length - 1
        candidates = []
        for split_index in range(start_index, end_index):
            left = memo[start_index][split_index]
            right = memo[split_index + 1][end_index]
            plus = col[start_index - 1] * col[split_index] * col[end_index]
            candidates.append(left + plus + right)

        memo[start_index][end_index] = min(candidates)
        #print('memo', start_index, end_index, memo[start_index][end_index])

#pprint.pprint(memo)
print(memo[1][n])