Go: package main

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

// Define disjoint-set forests

type vertexNo int

type vertex struct {
	number vertexNo
	rank int
	parent *vertex
}

func makeSet(number vertexNo) vertex {
	return vertex {
		number: number,
		rank: 0,
		parent: nil,
	}
}

func union(x, y *vertex) *vertex {
	return link(findSet(x), findSet(y))
}

func link(x, y *vertex) *vertex {
	if x.rank > y.rank {
		y.parent = x
		return x
	} else {
		x.parent = y
		if x.rank == y.rank {
			y.rank += 1
		}
		return y
	}
}

func findSet(v *vertex) *vertex {
	if v.parent == nil {
		return v
	}
	v.parent = findSet(v.parent)
	return v.parent
}

// Function to calculate minimum spanning tree

type matrix [][]int

type edge struct {
	one vertexNo
	two vertexNo
	weight int
}

const(
	MAX_VERTICES = 100
)

func newEdgesFromMatrix(matrix matrix) []edge {
	edges := make([]edge, 0, MAX_VERTICES * MAX_VERTICES)

	for i := 0; i < len(matrix); i++ {
		row := matrix[i]
		for j := i; j < len(row); j++ {
			if row[j] >= 0 {
				edge := edge{one: vertexNo(i+1), two: vertexNo(j+1), weight: row[j]}
				edges = append(edges, edge)
			}
		}
	}

	return edges
}

func solve(matrix matrix) int {
	nVertices := len(matrix)

	// initialize vertices
	vertices := make([]vertex, nVertices)
	for i := 0; i < nVertices; i++ {
		vertices[i] = makeSet(vertexNo(i+1))
	}

	// prepare edges sorted in the ascending order of weight
	edges := newEdgesFromMatrix(matrix)
	sort.Slice(edges, func(i, j int) bool {
		return edges[i].weight < edges[j].weight
	})

	unionCount := 0
	weightSum := 0
	for unionCount < nVertices-1 {
		for i := 0; i < len(edges); i++ {
			edge := edges[i]
			v1 := &vertices[edge.one-1]
			v2 := &vertices[edge.two-1]
			rep1 := findSet(v1)
			rep2 := findSet(v2)
			if rep1.number == rep2.number {
				continue
			}
			union(rep1, rep2)
			edges = append(edges[0:i], edges[i+1:]...)
			weightSum += edge.weight
			unionCount++
			break
		}
	}

	return weightSum
}

// main

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

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

	matrix := parseMatrix(n, sc)

	edges := newEdgesFromMatrix(matrix)
	sort.Slice(edges, func(i, j int) bool {
		return edges[i].weight < edges[j].weight
	})

	fmt.Println(solve(matrix))
}

func parseMatrix(n int, sc *bufio.Scanner) [][]int {
	matrix := make([][]int, n)
	for i := 0; i < n; i++ {
		matrix[i] = make([]int, n)
		for j := 0; j < n; j++ {
			x, err := nextInt(sc)
			if err != nil {
				panic(err)
			}
			matrix[i][j] = x
		}
	}
	return matrix
}

func nextText(sc *bufio.Scanner) string {
	sc.Scan()
	return sc.Text()
}

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

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;
}