Go: package main

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

const (
	MAX_N      = 200
	MAX_WEIGHT = 2000
)

type Edge struct {
	start  int
	end    int
	weight int
}

type ShortestInfo struct {
	edges    []Edge
	shortest int
}

func main() {
	sc := bufio.NewScanner(os.Stdin)
	sc.Split(bufio.ScanWords)

	n, err := nextInt(sc)
	if err != nil {
		panic(err)
	}

	shortestList := make([]ShortestInfo, n)
	for i := 1; i < n; i++ {
		shortestList[i] = ShortestInfo{edges: []Edge{}, shortest: MAX_N*MAX_WEIGHT + 1}
	}

	adjacentMatrix := make([][]int, n)
	for i := 0; i < n; i++ {
		adjacentMatrix[i] = make([]int, n)
		for j := 0; j < n; j++ {
			v, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			adjacentMatrix[i][j] = v
		}
	}

	mst([]int{1}, shortestList, adjacentMatrix)
	fmt.Println(calculateMinWeight(shortestList))
}

func calculateMinWeight(shortestList []ShortestInfo) int {
	visitedList := make([]bool, len(shortestList))
	visitedList[0] = true
	sumWeight := 0
	for !visitedAll(visitedList) {
		shortestInfo := shortestList[0]
		shortestList = shortestList[1:]
		edges := shortestInfo.edges
		for _, edge := range edges {
			if !visitedList[edge.end-1] {
				visitedList[edge.end-1] = true
				sumWeight += edge.weight
			}
		}
	}
	return sumWeight
}

func visitedAll(visitedList []bool) bool {
	for _, v := range visitedList {
		if !v {
			return false
		}
	}
	return true
}

func mst(nodeStack []int, shortestList []ShortestInfo, adjacentMatrix [][]int) {
	for len(nodeStack) > 0 {
		currentNode := nodeStack[0]
		nodeStack = nodeStack[1:]
		currentShortest := getShortest(currentNode, shortestList)
		adjacents := findAdjacents(currentNode, adjacentMatrix)
		for i := 0; i < len(adjacents); i++ {
			adj := adjacents[i]
			s := getShortest(adj.end, shortestList)
			if currentShortest.shortest+adj.weight < s.shortest || (currentShortest.shortest+adj.weight == s.shortest && len(currentShortest.edges)+1 > len(s.edges)) {
				setShortest(adj.end, adj, currentShortest, shortestList)
				nodeStack = append(nodeStack, adj.end)
			}
		}
	}
}

func getShortest(node int, shortestList []ShortestInfo) ShortestInfo {
	return shortestList[node-1]
}

func setShortest(node int, edge Edge, currentShortest ShortestInfo, shortestList []ShortestInfo) {
	newEdges := make([]Edge, len(currentShortest.edges)+1)
	for i := 0; i < len(newEdges)-1; i++ {
		newEdges[i] = currentShortest.edges[i]
	}
	newEdges[len(newEdges)-1] = edge
	shortestInfo := ShortestInfo{edges: newEdges, shortest: currentShortest.shortest + edge.weight}
	shortestList[node-1] = shortestInfo
}

func findAdjacents(currentNode int, adjacentMatrix [][]int) []Edge {
	adjacents := adjacentMatrix[currentNode-1]
	edges := []Edge{}
	for i, v := range adjacents {
		if v > 0 {
			edges = append(edges, Edge{start: currentNode, end: i + 1, weight: v})
		}
	}
	return edges
}

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

C++: #include <iostream>
#include <vector>
#include <algorithm>
#include <queue>
#include <functional>

using namespace std;
typedef pair<int, int> P;   //cost, to
static const int INF = 1e9;
static const int SIZE = 101;
int par[SIZE];
int rk[SIZE];
int d[SIZE];
int n;

struct edge
{
	int u, v, cost;
};

struct edge2
{
	int to, cost;
};

bool comp(const edge& e1, const edge& e2)
{
	return(e1.cost < e2.cost);
}

void init()
{
	for (int i = 0; i < SIZE; ++i)
	{
		par[i] = i;
		rk[i] = 0;
	}
}

int find(int x)
{
	if (x == par[x])
	{
		return(x);
	}
	else
	{
		return(par[x] = find(par[x]));
	}
}

void unite(int a, int b)
{
	int x = find(a);
	int y = find(b);
	if (x == y)
	{
		return;
	}
	if (rk[x] < rk[y])
	{
		par[x] = y;
	}
	else
	{
		par[y] = x;
		if (rk[x] == rk[y])
		{
			++rk[x];
		}
	}
}

bool same(int a, int b)
{
	return(find(a) == find(b));
}

int kruskal(vector<edge>& es)
{
	init();
	int res = 0;
	sort(es.begin(), es.end(), comp);
	for (int i = 0; i < es.size(); ++i)
	{
		edge e = es[i];
		if (!same(e.u, e.v))
		{
			unite(e.u, e.v);
			res += e.cost;
		}
	}
	return(res);
}

int prim(vector<edge2>* G)
{
	vector<bool> isUsed(n);
	for (int i = 0; i < n; ++i)
	{
		isUsed[i] = false;
	}
	priority_queue<P, vector<P>, greater<P> > pque;
	P p = make_pair(0, 0);
	pque.push(p);
	int res = 0;
	while (!pque.empty())
	{
		P p = pque.top();
		pque.pop();
		int v = p.second;
		if (isUsed[v])
		{
			continue;
		}
		isUsed[v] = true;
		res += p.first;
		for (int i = 0; i < G[v].size(); ++i)
		{
			edge2 e = G[v][i];
			pque.push(P(e.cost, e.to));
		}
	}
	return(res);
}


void solve()
{
	cin >> n;

// For Kruskal
	vector<edge> es;
	for (int i = 0; i < n; ++i)
	{
		for (int j = 0; j < n; ++j)
		{
			int cost;
			cin >> cost;
			if (cost != -1)
			{
				edge e;
				e.u = i;
				e.v = j;
				e.cost = cost;
				es.push_back(e);
			}
		}
	}
	cout << kruskal(es) << endl;

// For Prim
	//vector<edge2> G[SIZE];
	//for (int i = 0; i < n; ++i)
	//{
	//	for (int j = 0; j < n; ++j)
	//	{
	//		int cost;
	//		cin >> cost;
	//		if (j >= i && cost != -1)
	//		{
	//			edge2 e1, e2;
	//			e1.to = j;
	//			e1.cost = cost;
	//			e2.to = i;
	//			e2.cost = cost;
	//			G[i].push_back(e1);
	//			G[j].push_back(e2);
	//		}
	//	}
	//}
	//cout << prim(G) << endl;
}

int main()
{
	solve();
	return(0);
}

C++: // 最小全域木 ( プリム法 )
#include<cstdio>
#include<cstdlib>
#include<cstring>
#include<stack>
#include<algorithm>
#include<iostream>
#include<cmath>
#include<vector>

#include<queue>

using namespace std;

#define MAX_N 100
// 値の定義
const int INV = -1;
const int MAX_W = 2000;

// グラフ情報を保持する配列
int ary_graph[MAX_N + 1][MAX_N + 1];

// 入力された頂点を保持するキュー
queue<int> Base_Queue;

int n = 0;

// プリム法で最小全域木を求める
int MinimumSpanningTree(int start_vertex);

int main(void)
{
    int sum = 0;

    for(int i = 0; i < MAX_N + 1; i++)
    {
        for(int j = 0; j < MAX_N + 1; j++)
        {
            // 配列の初期化
            ary_graph[i][j] = INV;
        }
    }

    cin >> n;

    for(int i = 0; i < n; i++)
    {
        // グラフを構成する頂点の格納
        Base_Queue.push(i);

        for(int j = 0; j < n; j++)
        {
            // 隣接行列の設定
            cin >> ary_graph[i][j];
        }
    }

    // 頂点１から最小全域木を探索する
    sum = MinimumSpanningTree(0);

    // 結果の表示
    printf("%d\n", sum);

    return 0;
}

// 最小全域木を探索する関数
// start_vertex : 起点となる頂点のNo.
int MinimumSpanningTree(int start_vertex)
{

    int q_size_1, q_size_2, min_val, min_ele, s, t, tmp;
    // 辺の和を保持する変数
    int sum = 0;

    // 最小全域木を構成する頂点を保持するキュー
    queue<int> Prim_Queue;

    // 検索する頂点の初期値の設定
    s = Base_Queue.front();
    Base_Queue.pop();
    Prim_Queue.push(s);

    while( !Base_Queue.empty() )
    {
        min_val = MAX_W;
        min_ele = INV;
        q_size_1 = Base_Queue.size();
        q_size_2 = Prim_Queue.size();

        for( int i = q_size_2 - 1; i >= 0; i-- )
        {
            // s から t に向かう辺の重みを探索する
            s = Prim_Queue.front();
            Prim_Queue.pop();
            // 要素を順番に取り出すために, 取り出したものを元に戻す
            Prim_Queue.push(s);

            for( int i = q_size_1 - 1; i >= 0; i-- )
            {
                t = Base_Queue.front();
                Base_Queue.pop();

                if( ary_graph[s][t] != INV && min_val > ary_graph[s][t] )
                {
                    // 最小のコストを持つ, 辺を探索する
                    min_val = ary_graph[s][t];
                    min_ele = t;
                }

                // 一旦, 元に戻す
                Base_Queue.push(t);
            }
        }

        // 最小のコストを持つ辺の頂点を追加して, 木を構成する
        for(int i = 0; i < Base_Queue.size(); i++)
        {
            tmp = Base_Queue.front();
            Base_Queue.pop();

            if( tmp == min_ele )
            {
                Prim_Queue.push(tmp);
                break;
            }
            else
            {
                Base_Queue.push(tmp);
            }
        }

        sum += min_val;

    }

    return sum;
}