I am getting a runtime error with this code and I have no idea why.
I am creating a grid and then running a BFS over it. The objective here is to read in the rows and columns of the grid, then determine the maximum number of stars you can pass over before reaching the end.
The start is the top left corner and the end is the bottom right corner.
You can only move down and right. Any ideas?
#include <iostream>
#include <queue>
using namespace std;
int main() {
int r, c, stars[1001][1001], grid[1001][1001], ns[1001][1001];
pair<int, int> cr, nx;
char tmp;
queue<pair<int, int> > q;
cin >> r >> c;
for(int i = 0; i < r; i++) {
for(int j = 0; j < c; j++) {
cin >> tmp;
if(tmp == '.') {
grid[i][j] = 1000000000;
ns[i][j] = 0;
stars[i][j] = 0;
}
else if(tmp == '*') {
grid[i][j] = 1000000000;
ns[i][j] = 1;
stars[i][j] = 1;
}
else
grid[i][j] = -1;
}
}
grid[0][0] = 0;
cr.first = 0;
cr.second = 0;
q.push(cr);
while(!q.empty()) {
cr = q.front();
q.pop();
if(cr.first < r - 1 && grid[cr.first + 1][cr.second] != -1 && ns[cr.first][cr.second] + stars[cr.first + 1][cr.second] > ns[cr.first + 1][cr.second]) {
nx.first = cr.first + 1; nx.second = cr.second;
grid[nx.first][nx.second] = grid[cr.first][cr.second] + 1;
ns[nx.first][nx.second] = ns[cr.first][cr.second] + stars[cr.first + 1][cr.second];
q.push(nx);
}
if(cr.second < c - 1 && grid[cr.first][cr.second + 1] != -1 && ns[cr.first][cr.second] + stars[cr.first][cr.second + 1] > ns[cr.first][cr.second + 1]) {
nx.first = cr.first; nx.second = cr.second + 1;
grid[nx.first][nx.second] = grid[cr.first][cr.second] + 1;
ns[nx.first][nx.second] = ns[cr.first][cr.second] + stars[cr.first][cr.second + 1];
q.push(nx);
}
}
if(grid[r - 1][c - 1] == 1000000000)
cout << "Impossible" << endl;
else
cout << ns[r - 1][c - 1] << endl;
}
Sample input :
6 7
.#*..#.
..*#...
#.....#
..###..
..##..*
*#.....
I'm guessing your stack is not big enough for
int stars[1001][1001], grid[1001][1001], ns[1001][1001];
which is 3 * 1001 * 1001 * sizeof(int) bytes. That's ~12MB if the size of int is 4 bytes.
Either increase the stack size with a compiler option, or go with dynamic allocation i.e. std::vector.
To avoid the large stack you should allocate on the heap
Since you seem to have three parallel 2 - dimension arrays you could
maybe create struct that contains all three values for a x,y position.
That would make it easier to maintain:
struct Area
{
int grid;
int ns;
int stars;
};
std::vector<std::array<Area,1001>> dim2(1001);
dim2[x][y].grid = 100001;
...
Related
I'm trying to solve https://open.kattis.com/problems/rootedsubtrees and part of the solution requires finding the minimum distance between any 2 nodes on the tree. To do this, I'm using Lowest Common Ancestor as a subroutine. Part of my LCA code uses a DFS to traverse the tree. Somehow, running this code on a line graph of size 200000 leads to a segmentation fault during the DFS section of the code.
#pragma GCC optimize("Ofast")
#pragma GCC target("sse,sse2,sse3,ssse3,sse4,popcnt,abm,mmx,avx,avx2,fma")
#include <bits/stdc++.h>
using namespace std;
typedef long long ll;
typedef vector<int> vi;
#define fast_cin() \
ios_base::sync_with_stdio(false); \
cin.tie(NULL); \
cout.tie(NULL);
int n, q, idx;
vector<int> adjlist[200009];
vector<int> L, E,
H; // depth at traversal index, node at traversal index, first traversal index of node
void dfs(int cur, int depth) {
cout << "dfs " << cur << " " << idx << endl;
H[cur] = idx;
E[idx] = cur;
L[idx++] = depth;
for (int &nxt : adjlist[cur]) {
if (H[nxt] != -1) continue;
dfs(nxt, depth + 1);
E[idx] = cur; // backtrack to current node
L[idx++] = depth;
}
}
class SparseTable { // OOP style
private:
vi A, P2, L2;
vector<vi> SpT; // the Sparse Table
public:
SparseTable() {} // default constructor
SparseTable(vi &initialA) { // pre-processing routine
A = initialA;
int n = (int)A.size();
int L2_n = (int)log2(n) + 1;
P2.assign(L2_n, 0);
L2.assign(1 << L2_n, 0);
for (int i = 0; i <= L2_n; ++i) {
P2[i] = (1 << i); // to speed up 2^i
L2[(1 << i)] = i; // to speed up log_2(i)
}
for (int i = 2; i < P2[L2_n]; ++i)
if (L2[i] == 0) L2[i] = L2[i - 1]; // to fill in the blanks
// the initialization phase
SpT = vector<vi>(L2[n] + 1, vi(n));
for (int j = 0; j < n; ++j) SpT[0][j] = j; // RMQ of sub array [j..j]
// the two nested loops below have overall time complexity = O(n log n)
for (int i = 1; P2[i] <= n; ++i) // for all i s.t. 2^i <= n
for (int j = 0; j + P2[i] - 1 < n; ++j) { // for all valid j
int x = SpT[i - 1][j]; // [j..j+2^(i-1)-1]
int y = SpT[i - 1][j + P2[i - 1]]; // [j+2^(i-1)..j+2^i-1]
SpT[i][j] = A[x] <= A[y] ? x : y;
}
}
int RMQ(int i, int j) {
int k = L2[j - i + 1]; // 2^k <= (j-i+1)
int x = SpT[k][i]; // covers [i..i+2^k-1]
int y = SpT[k][j - P2[k] + 1]; // covers [j-2^k+1..j]
return A[x] <= A[y] ? x : y;
}
};
int LCA(int u, int v, SparseTable &SpT) {
if (H[u] > H[v]) swap(u, v);
return E[SpT.RMQ(H[u], H[v])];
}
int APSP(int u, int v, SparseTable &SpT) {
int ancestor = LCA(u, v, SpT);
return L[H[u]] + L[H[v]] - 2 * L[H[ancestor]];
}
int main() {
fast_cin();
cin >> n >> q;
L.assign(2 * (n + 9), 0);
E.assign(2 * (n + 9), 0);
H.assign(n + 9, -1);
idx = 0;
int u, v;
for (int i = 0; i < n - 1; i++) {
cin >> u >> v;
u--;
v--;
adjlist[u].emplace_back(v);
adjlist[v].emplace_back(u);
}
dfs(0, 0);
SparseTable SpT(L);
ll d;
while (q--) {
cin >> u >> v;
u--;
v--;
d = (ll) APSP(u, v, SpT) + 1;
cout << (ll) n - d + (d) * (d + 1) / 2 << endl;
}
return 0;
}
Using the following Python Code to generate the input of a large line graph
n = 200000
q = 1
print(n, q)
for i in range(1, n):
print(i, i+1)
print(1, 200000)
I get the following last few lines of output before my program crashes.
.
.
.
dfs 174494 174494
dfs 174495 174495
dfs 174496 174496
dfs 174497 174497
dfs 174498 174498
Segmentation fault (core dumped)
Is the problem an issue of exhausting stack space with the recursion or something else?
You posted a lot of code, but here is one obvious error in the SparseMatrix class:
std::vector<int> P2;
//...
P2.assign(L2_n, 0);
for (int i = 0; i <= L2_n; ++i)
{
P2[i] = (1 << i); // <-- Out of bounds access when i == L2_n
To show you the error, change that line of code to this:
P2.at(i) = (1 << i); // <-- Out of bounds access when i == L2_n
You will now get a std::out_of_range exception thrown.
If you write a loop using <=, that loop will be considered suspicious, since a lot of off-by-one and buffer overrun errors occur with loop conditions written this way.
I believe stack exhaustion was the main problem in running the code on my machine. I re-implemented the DFS in an iterative fashion.
stack<tuple<int, int, bool>> st; // cur, depth, first_time
st.push ({0, 0, 1});
while (!st.empty()) {
auto [cur, depth, first_time] = st.top();
st.pop();
if (first_time){
H[cur] = idx;
}
E[idx] = cur;
L[idx++] = depth;
for (int &nxt : adjlist[cur]) {
if (H[nxt] != -1) continue;
st.push({cur, depth, 0});
st.push({nxt, depth+1, 1});
break;
}
}
and my code was able to run the large testcase on my machine.
I'm not sure is this is relevant to the original question, but after this change, the code still flagged a run-time error on the online judge and I eventually realized that the issue was that the sparse table was using too much memory, so I fixed that by avoiding wasted declared but not used memory spaces in rows of the sparse table. Then the online judge deemed it as being too slow. So I reverted the DFS code back to the recursive version, and it was accepted. Note that the accepted solution actually crashes on my machine when running the large testcase... I guess my machine has a more limited stack space than the online grader.
The accepted solution is here
#pragma GCC optimize("Ofast")
#pragma GCC target("sse,sse2,sse3,ssse3,sse4,popcnt,abm,mmx,avx,avx2,fma")
#include <bits/stdc++.h>
using namespace std;
typedef long long ll;
typedef vector<int> vi;
#define fast_cin() \
ios_base::sync_with_stdio(false); \
cin.tie(NULL); \
cout.tie(NULL);
int n, q, idx;
vector<int> adjlist[(int)2e5 + 9];
vector<int> L, E,
H; // depth at traversal index, node at traversal index, first traversal index of node
void dfs(int cur, int depth) {
H[cur] = idx;
E[idx] = cur;
L[idx++] = depth;
for (int &nxt : adjlist[cur]) {
if (H[nxt] != -1) continue;
dfs(nxt, depth + 1);
E[idx] = cur; // backtrack to current node
L[idx++] = depth;
}
}
class SparseTable { // OOP style
private:
vi A, P2, L2;
vector<vi> SpT; // the Sparse Table
public:
SparseTable() {} // default constructor
SparseTable(vi &initialA) { // pre-processing routine
A = initialA;
int n = (int)A.size();
int L2_n = (int)log2(n) + 1;
P2.assign(L2_n + 1, 0);
L2.assign((1 << L2_n) + 1, 0);
for (int i = 0; i <= L2_n; ++i) {
P2[i] = (1 << i); // to speed up 2^i
L2[(1 << i)] = i; // to speed up log_2(i)
}
for (int i = 2; i < P2[L2_n]; ++i)
if (L2[i] == 0) L2[i] = L2[i - 1]; // to fill in the blanks
// the initialization phase
SpT = vector<vi>(L2[n] + 1, vi());
SpT[0] = vi(n, 0);
for (int j = 0; j < n; ++j) SpT[0][j] = j; // RMQ of sub array [j..j]
// the two nested loops below have overall time complexity = O(n log n)
for (int i = 1; P2[i] <= n; ++i) { // for all i s.t. 2^i <= n
SpT[i] = vi(n + 1 - P2[i]); // initialize SpT[i]
for (int j = 0; j + P2[i] - 1 < n; ++j) { // for all valid j
int x = SpT[i - 1][j]; // [j..j+2^(i-1)-1]
int y = SpT[i - 1][j + P2[i - 1]]; // [j+2^(i-1)..j+2^i-1]
SpT[i][j] = A[x] <= A[y] ? x : y;
}
}
}
int RMQ(int i, int j) {
int k = L2[j - i + 1]; // 2^k <= (j-i+1)
int x = SpT[k][i]; // covers [i..i+2^k-1]
int y = SpT[k][j - P2[k] + 1]; // covers [j-2^k+1..j]
return A[x] <= A[y] ? x : y;
}
};
int LCA(int u, int v, SparseTable &SpT) {
if (H[u] > H[v]) swap(u, v);
return E[SpT.RMQ(H[u], H[v])];
}
int APSP(int u, int v, SparseTable &SpT) {
int ancestor = LCA(u, v, SpT);
return L[H[u]] + L[H[v]] - 2 * L[H[ancestor]];
}
int main() {
fast_cin();
cin >> n >> q;
L.assign(2 * (n), 0);
E.assign(2 * (n), 0);
H.assign(n, -1);
idx = 0;
int u, v;
for (int i = 0; i < n - 1; i++) {
cin >> u >> v;
u--;
v--;
adjlist[u].emplace_back(v);
adjlist[v].emplace_back(u);
}
dfs(n - 1, 0);
SparseTable SpT(L);
ll d;
while (q--) {
cin >> u >> v;
u--;
v--;
d = (ll)APSP(u, v, SpT) + 1LL;
cout << (ll)n - d + (d) * (d + 1) / (ll)2 << endl;
}
return 0;
}
I'm trying to solve this problem in C++:
"Given a sequence S of integers, find a number of increasing sequences I such that every two consecutive elements in I appear in S, but on the opposite sides of the first element of I."
This is the code I've developed:
#include<iostream>
#include<set>
#include<vector>
using namespace std;
struct Element {
long long height;
long long acc;
long long con;
};
bool fncomp(Element* lhs, Element* rhs) {
return lhs->height < rhs->height;
}
int solution(vector<int> &H) {
// set up
int N = (int)H.size();
if (N == 0 || N == 1) return N;
long long sol = 0;
// build trees
bool(*fn_pt)(Element*, Element*) = fncomp;
set<Element*, bool(*)(Element*, Element*)> rightTree(fn_pt), leftTree(fn_pt);
set<Element*, bool(*)(Element*, Element*)>::iterator ri, li;
for (int i = 0; i < N; i++) {
Element* e = new Element;
e->acc = 0;
e->con = 0;
e->height = H[i];
rightTree.insert(e);
}
//tree elements set up
ri = --rightTree.end();
Element* elem = *ri;
elem->con = 1;
elem->acc = 1;
while (elem->height > H[0]) {
Element* succ = elem;
ri--;
elem = *ri;
elem->con = 1;
elem->acc = succ->acc + 1;
}
rightTree.erase(ri);
elem->con = elem->acc;
leftTree.insert(elem);
sol += elem->acc;
// main loop
Element* pE = new Element;
for (int j = 1; j < (N - 1); j++) {
// bad case
if (H[j] < H[j - 1]) {
///////
Element* nE = new Element;
nE->height = H[j];
pE->height = H[j - 1];
rightTree.erase(nE);
leftTree.insert(nE);
///////
li = leftTree.lower_bound(pE);
long ltAcc = (*li)->acc;
li--;
///////
ri = rightTree.lower_bound(pE);
long rtAcc = 0;
if (ri != rightTree.end()) rtAcc = (*ri)->acc;
ri--;
///////
while (ri != (--rightTree.begin()) && (*ri)->height > H[j]) {
if (fncomp(*ri, *li)) {
(*li)->con = rtAcc + 1;
(*li)->acc = rtAcc + 1 + ltAcc;
ltAcc = (*li)->acc;
--li;
}
else {
(*ri)->con = ltAcc + 1;
(*ri)->acc = ltAcc + 1 + rtAcc;
rtAcc = (*ri)->acc;
--ri;
}
}
while ((*li)->height > H[j]) {
(*li)->con = rtAcc + 1;
(*li)->acc = rtAcc + 1 + ltAcc;
ltAcc = (*li)->acc;
--li;
}
(*li)->con = rtAcc + 1;
(*li)->acc = rtAcc + 1 + ltAcc;
sol += (*li)->acc;
}
// good case
else {
Element* nE = new Element;
nE->height = H[j];
ri = rightTree.upper_bound(nE);
li = leftTree.upper_bound(nE);
rightTree.erase(nE);
if (li == leftTree.end() && ri == rightTree.end()) {
nE->con = 1;
nE->acc = 1;
}
else if (li != leftTree.end() && ri == rightTree.end()) {
nE->con = 1;
nE->acc = 1 + (*li)->acc;
}
else if (li == leftTree.end() && ri != rightTree.end()) {
nE->con = (*ri)->acc + 1;
nE->acc = nE->con;
}
else {
nE->con = (*ri)->acc + 1;
nE->acc = nE->con + (*li)->acc;
}
leftTree.insert(nE);
sol += nE->acc;
}
}
// final step
li = leftTree.upper_bound(*rightTree.begin());
while (li != leftTree.end()) {
sol++;
li++;
}
sol++;
return (int)(sol % 1000000007);
}
int main(int argc, char* argv[]) {
vector<int> H = { 13, 2, 5 };
cout << "sol: " << solution(H) << endl;
system("pause");
}
The main function calls solution(vector<int> H). The point is, when the argument has the particular value of H = {13, 2, 5} the VC++ compiled program give an output value of 7 (which is the correct one), but the GNU g++ compiled program give an output value of 5 (also clang compiled program behave like this).
I'm using this website, among others, for testing different compilers
http://rextester.com/l/cpp_online_compiler_gcc
I've tried to figure out the reason for this wierd behaviour but didn't found any relevant info. Only one post treat a similar problem:
Different results VS C++ and GNU g++
and that's why I'm using long long types in the code, but the problem persists.
The problem was decrementing the start-of-sequence --rightTree.begin()
As I found VC++ and GNU g++ does not behave the same way on above operation. Here is the code that shows the difference, adapted from http://www.cplusplus.com/forum/general/84609/:
#include<iostream>
#include<set>
using namespace std;
struct Element {
long long height;
long long acc;
long long con;
};
bool fncomp(Element* lhs, Element* rhs) {
return lhs->height < rhs->height;
}
int main(){
bool(*fn_pt)(Element*, Element*) = fncomp;
set<Element*, bool(*)(Element*, Element*)> rightTree(fn_pt);
set<Element*, bool(*)(Element*, Element*)>::iterator ri;
ri = rightTree.begin();
--ri;
++ri;
if(ri == rightTree.begin()) cout << "it works!" << endl;
}
I'm posting this although much has already been posted about this question. I didn't want to post as an answer since it's not working. The answer to this post (Finding the rank of the Given string in list of all possible permutations with Duplicates) did not work for me.
So I tried this (which is a compilation of code I've plagiarized and my attempt to deal with repetitions). The non-repeating cases work fine. BOOKKEEPER generates 83863, not the desired 10743.
(The factorial function and letter counter array 'repeats' are working correctly. I didn't post to save space.)
while (pointer != length)
{
if (sortedWordChars[pointer] != wordArray[pointer])
{
// Swap the current character with the one after that
char temp = sortedWordChars[pointer];
sortedWordChars[pointer] = sortedWordChars[next];
sortedWordChars[next] = temp;
next++;
//For each position check how many characters left have duplicates,
//and use the logic that if you need to permute n things and if 'a' things
//are similar the number of permutations is n!/a!
int ct = repeats[(sortedWordChars[pointer]-64)];
// Increment the rank
if (ct>1) { //repeats?
System.out.println("repeating " + (sortedWordChars[pointer]-64));
//In case of repetition of any character use: (n-1)!/(times)!
//e.g. if there is 1 character which is repeating twice,
//x* (n-1)!/2!
int dividend = getFactorialIter(length - pointer - 1);
int divisor = getFactorialIter(ct);
int quo = dividend/divisor;
rank += quo;
} else {
rank += getFactorialIter(length - pointer - 1);
}
} else
{
pointer++;
next = pointer + 1;
}
}
Note: this answer is for 1-based rankings, as specified implicitly by example. Here's some Python that works at least for the two examples provided. The key fact is that suffixperms * ctr[y] // ctr[x] is the number of permutations whose first letter is y of the length-(i + 1) suffix of perm.
from collections import Counter
def rankperm(perm):
rank = 1
suffixperms = 1
ctr = Counter()
for i in range(len(perm)):
x = perm[((len(perm) - 1) - i)]
ctr[x] += 1
for y in ctr:
if (y < x):
rank += ((suffixperms * ctr[y]) // ctr[x])
suffixperms = ((suffixperms * (i + 1)) // ctr[x])
return rank
print(rankperm('QUESTION'))
print(rankperm('BOOKKEEPER'))
Java version:
public static long rankPerm(String perm) {
long rank = 1;
long suffixPermCount = 1;
java.util.Map<Character, Integer> charCounts =
new java.util.HashMap<Character, Integer>();
for (int i = perm.length() - 1; i > -1; i--) {
char x = perm.charAt(i);
int xCount = charCounts.containsKey(x) ? charCounts.get(x) + 1 : 1;
charCounts.put(x, xCount);
for (java.util.Map.Entry<Character, Integer> e : charCounts.entrySet()) {
if (e.getKey() < x) {
rank += suffixPermCount * e.getValue() / xCount;
}
}
suffixPermCount *= perm.length() - i;
suffixPermCount /= xCount;
}
return rank;
}
Unranking permutations:
from collections import Counter
def unrankperm(letters, rank):
ctr = Counter()
permcount = 1
for i in range(len(letters)):
x = letters[i]
ctr[x] += 1
permcount = (permcount * (i + 1)) // ctr[x]
# ctr is the histogram of letters
# permcount is the number of distinct perms of letters
perm = []
for i in range(len(letters)):
for x in sorted(ctr.keys()):
# suffixcount is the number of distinct perms that begin with x
suffixcount = permcount * ctr[x] // (len(letters) - i)
if rank <= suffixcount:
perm.append(x)
permcount = suffixcount
ctr[x] -= 1
if ctr[x] == 0:
del ctr[x]
break
rank -= suffixcount
return ''.join(perm)
If we use mathematics, the complexity will come down and will be able to find rank quicker. This will be particularly helpful for large strings.
(more details can be found here)
Suggest to programmatically define the approach shown here (screenshot attached below) given below)
I would say David post (the accepted answer) is super cool. However, I would like to improve it further for speed. The inner loop is trying to find inverse order pairs, and for each such inverse order, it tries to contribute to the increment of rank. If we use an ordered map structure (binary search tree or BST) in that place, we can simply do an inorder traversal from the first node (left-bottom) until it reaches the current character in the BST, rather than traversal for the whole map(BST). In C++, std::map is a perfect one for BST implementation. The following code reduces the necessary iterations in loop and removes the if check.
long long rankofword(string s)
{
long long rank = 1;
long long suffixPermCount = 1;
map<char, int> m;
int size = s.size();
for (int i = size - 1; i > -1; i--)
{
char x = s[i];
m[x]++;
for (auto it = m.begin(); it != m.find(x); it++)
rank += suffixPermCount * it->second / m[x];
suffixPermCount *= (size - i);
suffixPermCount /= m[x];
}
return rank;
}
#Dvaid Einstat, this was really helpful. It took me a WHILE to figure out what you were doing as I am still learning my first language(C#). I translated it into C# and figured that I'd give that solution as well since this listing helped me so much!
Thanks!
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Text.RegularExpressions;
namespace CsharpVersion
{
class Program
{
//Takes in the word and checks to make sure that the word
//is between 1 and 25 charaters inclusive and only
//letters are used
static string readWord(string prompt, int high)
{
Regex rgx = new Regex("^[a-zA-Z]+$");
string word;
string result;
do
{
Console.WriteLine(prompt);
word = Console.ReadLine();
} while (word == "" | word.Length > high | rgx.IsMatch(word) == false);
result = word.ToUpper();
return result;
}
//Creates a sorted dictionary containing distinct letters
//initialized with 0 frequency
static SortedDictionary<char,int> Counter(string word)
{
char[] wordArray = word.ToCharArray();
int len = word.Length;
SortedDictionary<char,int> count = new SortedDictionary<char,int>();
foreach(char c in word)
{
if(count.ContainsKey(c))
{
}
else
{
count.Add(c, 0);
}
}
return count;
}
//Creates a factorial function
static int Factorial(int n)
{
if (n <= 1)
{
return 1;
}
else
{
return n * Factorial(n - 1);
}
}
//Ranks the word input if there are no repeated charaters
//in the word
static Int64 rankWord(char[] wordArray)
{
int n = wordArray.Length;
Int64 rank = 1;
//loops through the array of letters
for (int i = 0; i < n-1; i++)
{
int x=0;
//loops all letters after i and compares them for factorial calculation
for (int j = i+1; j<n ; j++)
{
if (wordArray[i] > wordArray[j])
{
x++;
}
}
rank = rank + x * (Factorial(n - i - 1));
}
return rank;
}
//Ranks the word input if there are repeated charaters
//in the word
static Int64 rankPerm(String word)
{
Int64 rank = 1;
Int64 suffixPermCount = 1;
SortedDictionary<char, int> counter = Counter(word);
for (int i = word.Length - 1; i > -1; i--)
{
char x = Convert.ToChar(word.Substring(i,1));
int xCount;
if(counter[x] != 0)
{
xCount = counter[x] + 1;
}
else
{
xCount = 1;
}
counter[x] = xCount;
foreach (KeyValuePair<char,int> e in counter)
{
if (e.Key < x)
{
rank += suffixPermCount * e.Value / xCount;
}
}
suffixPermCount *= word.Length - i;
suffixPermCount /= xCount;
}
return rank;
}
static void Main(string[] args)
{
Console.WriteLine("Type Exit to end the program.");
string prompt = "Please enter a word using only letters:";
const int MAX_VALUE = 25;
Int64 rank = new Int64();
string theWord;
do
{
theWord = readWord(prompt, MAX_VALUE);
char[] wordLetters = theWord.ToCharArray();
Array.Sort(wordLetters);
bool duplicate = false;
for(int i = 0; i< theWord.Length - 1; i++)
{
if(wordLetters[i] < wordLetters[i+1])
{
duplicate = true;
}
}
if(duplicate)
{
SortedDictionary<char, int> counter = Counter(theWord);
rank = rankPerm(theWord);
Console.WriteLine("\n" + theWord + " = " + rank);
}
else
{
char[] letters = theWord.ToCharArray();
rank = rankWord(letters);
Console.WriteLine("\n" + theWord + " = " + rank);
}
} while (theWord != "EXIT");
Console.WriteLine("\nPress enter to escape..");
Console.Read();
}
}
}
If there are k distinct characters, the i^th character repeated n_i times, then the total number of permutations is given by
(n_1 + n_2 + ..+ n_k)!
------------------------------------------------
n_1! n_2! ... n_k!
which is the multinomial coefficient.
Now we can use this to compute the rank of a given permutation as follows:
Consider the first character(leftmost). say it was the r^th one in the sorted order of characters.
Now if you replace the first character by any of the 1,2,3,..,(r-1)^th character and consider all possible permutations, each of these permutations will precede the given permutation. The total number can be computed using the above formula.
Once you compute the number for the first character, fix the first character, and repeat the same with the second character and so on.
Here's the C++ implementation to your question
#include<iostream>
using namespace std;
int fact(int f) {
if (f == 0) return 1;
if (f <= 2) return f;
return (f * fact(f - 1));
}
int solve(string s,int n) {
int ans = 1;
int arr[26] = {0};
int len = n - 1;
for (int i = 0; i < n; i++) {
s[i] = toupper(s[i]);
arr[s[i] - 'A']++;
}
for(int i = 0; i < n; i++) {
int temp = 0;
int x = 1;
char c = s[i];
for(int j = 0; j < c - 'A'; j++) temp += arr[j];
for (int j = 0; j < 26; j++) x = (x * fact(arr[j]));
arr[c - 'A']--;
ans = ans + (temp * ((fact(len)) / x));
len--;
}
return ans;
}
int main() {
int i,n;
string s;
cin>>s;
n=s.size();
cout << solve(s,n);
return 0;
}
Java version of unrank for a String:
public static String unrankperm(String letters, int rank) {
Map<Character, Integer> charCounts = new java.util.HashMap<>();
int permcount = 1;
for(int i = 0; i < letters.length(); i++) {
char x = letters.charAt(i);
int xCount = charCounts.containsKey(x) ? charCounts.get(x) + 1 : 1;
charCounts.put(x, xCount);
permcount = (permcount * (i + 1)) / xCount;
}
// charCounts is the histogram of letters
// permcount is the number of distinct perms of letters
StringBuilder perm = new StringBuilder();
for(int i = 0; i < letters.length(); i++) {
List<Character> sorted = new ArrayList<>(charCounts.keySet());
Collections.sort(sorted);
for(Character x : sorted) {
// suffixcount is the number of distinct perms that begin with x
Integer frequency = charCounts.get(x);
int suffixcount = permcount * frequency / (letters.length() - i);
if (rank <= suffixcount) {
perm.append(x);
permcount = suffixcount;
if(frequency == 1) {
charCounts.remove(x);
} else {
charCounts.put(x, frequency - 1);
}
break;
}
rank -= suffixcount;
}
}
return perm.toString();
}
See also n-th-permutation-algorithm-for-use-in-brute-force-bin-packaging-parallelization.
This question already has answers here:
Can a local variable's memory be accessed outside its scope?
(20 answers)
Closed 9 years ago.
Consider the following code:
int* solve(int input[], int len) {
//Processing and building the calc array. Can be ignored.
int calc[3*(len-1)];
calc[0] = input[0];
calc[1] = 1;
calc[2] = 1;
for (int b = 1; b < len - 1; b++) {
calc[3*b] = 0;
calc[3*b + 1] = 0;
calc[3*b + 2] = 0;
}
if (input[0] < input[1]) {
calc[3] = input[1];
calc[4] = 0;
calc[5] = 1;
} else {
calc[3] = input[0];
calc[4] = 1;
calc[5] = 0;
}
for (int i = 2; i < len - 1; i++) {
for (int j = 0; j < i; j++) {
if ((i - j > 1 || calc[3*j + 2] == 0) && calc[3*j] + input[i] > calc[3*i]) {
calc[3*i] = calc[3*j] + input[i];
calc[3*i + 1] = calc[3*j + 1];
calc[3*i + 2] = 1;
} else if (input[i] > input[j] && calc[3*i] < calc[3*j] - input[j] + input[i]) {
calc[3*i] = calc[3*j] - input[j] + input[i];
calc[3*i + 1] = calc[3*j + 1];
calc[3*i + 2] = 1;
} else if (calc[3*i] < calc[3*j]) {
calc[3*i] = calc[3*j];
calc[3*i + 1] = calc[3*j + 1];
calc[3*i + 2] = 0;
}
}
}
//Printing the array
cout<<"Calc array: ";
for (int a = 0; a < len - 1; a++) {
cout<<"("<<calc[3*a]<<" "<<calc[3*a + 1]<<" "<<calc[3*a+2]<<") ";
}
cout<<endl;
//Returning a pointer to the array
int *pointer = calc;
return pointer;
}
int main() {
//Taking input. Can be ignored.
int len;
cin>>len;
int input[len];
for (int i = 0; i < len; i++) {
cin>>input[i];
}
//Assigning another pointer to the array that the solve() function returns.
int *a = solve(input, len);
int *b;
//Printing the array that the pointer points to.
cout<<"A Array: ";
for (int x = 0; x < len - 1; x++) {
cout<<"("<<a[3*x]<<" "<<a[3*x + 1]<<" "<<a[3*x+2]<<") ";
}
cout<<endl;
//Ignore code from here.
int c;
if (a[3*(len - 2) + 1] == 1) {
input[0] = -10*10*10*10;
b = solve(input, len);
if (b[3*(len - 2) + 2] == 1) {
if (input[len-1] > input[len-2]) {
c = b[3*(len - 2)] - input[len-2] + input[len - 1];
cout<<c<<endl;
} else {
c = b[3*(len - 2)];
}
} else {
c = b[3*(len - 2)] + input[len-1];
}
if (c < a[3*(len - 2)]) {
cout<<a[3*(len - 2)];
} else {
cout<<c<<endl;
cout<<a[3*(len - 2)]<<" "<<a[3*(len - 2) + 1]<<" "<<a[3*(len - 2) + 2];
cout<<"This route"<<endl;
}
} else {
input[1] = -10*10*10*10;
b = solve(input, len);
if (a[3*(len - 2) + 2] == 1) {
if (input[len-1] > input[len-2]) {
c = a[3*(len - 2)] - input[len-2] + input[len - 1];
} else {
c = a[3*(len - 2)];
}
} else {
c = a[3*(len - 2)] + input[len-1];
}
if (c > b[3*(len - 2)]) {
cout<<b[3*(len - 2)];
} else {
cout<<c;
}
}
}
Now the problem here is, that when I print the calc array inside the solve() function the first time it prints perfectly and gives the following desired output:
Calc array: (10 1 1) (10 1 0) (12 1 1) (15 1 1) (19 1 1)
But when I print it again inside the main() function, I get the following output:
A Array: (135712 0 1259266624) (2045 1 0) (4792936 0 32) (15 4792936 0) (2357952 0 4792936)
I have just migrated from Python to C++, and I find it extremely cumbersome, at times such as these. I have tried all sorts of modifications to the code but I still can't figure out the problem. Any help would be appreciated.
calc is a local variable whose lifetime starts at it's definition and ends when the function exits.
Since you're returning a pointer to it when exiting the function, the dereferencing of said pointer will be undefined behaviour (since the "object" behind it no longer exists).
If you want a variable to survive function return, you'll need to do something like allocating it dynamically, changing:
int calc[3*(len-1)];
to:
int *calc = new int [(3 * (len - 1)];
and then ensuring you delete[] it in the caller when you're done with it.
This is a problem I have been struggling for a week, coming back just to give up after wasted hours...
I am supposed to find coefficents for the following Laguerre polynomial:
P0(x) = 1
P1(x) = 1 - x
Pn(x) = ((2n - 1 - x) / n) * P(n-1) - ((n - 1) / n) * P(n-2)
I believe there is an error in my implementation, because for some reason the coefficents I get seem way too big. This is the output this program generates:
a1 = -190.234
a2 = -295.833
a3 = 378.283
a4 = -939.537
a5 = 774.861
a6 = -400.612
Description of code (given below):
If you scroll the code down a little to the part where I declare array, you'll find given x's and y's.
The function polynomial just fills an array with values of said polynomial for certain x. It's a recursive function. I believe it works well, because I have checked the output values.
The gauss function finds coefficents by performing Gaussian elimination on output array. I think this is where the problems begin. I am wondering, if there's a mistake in this code or perhaps my method of veryfying results is bad? I am trying to verify them like that:
-190.234 * 1.5 ^ 5 - 295.833 * 1.5 ^ 4 ... - 400.612 = -3017,817625 =/= 2
Code:
#include "stdafx.h"
#include <conio.h>
#include <iostream>
#include <iomanip>
#include <math.h>
using namespace std;
double polynomial(int i, int j, double **tab)
{
double n = i;
double **array = tab;
double x = array[j][0];
if (i == 0) {
return 1;
} else if (i == 1) {
return 1 - x;
} else {
double minusone = polynomial(i - 1, j, array);
double minustwo = polynomial(i - 2, j, array);
double result = (((2.0 * n) - 1 - x) / n) * minusone - ((n - 1.0) / n) * minustwo;
return result;
}
}
int gauss(int n, double tab[6][7], double results[7])
{
double multiplier, divider;
for (int m = 0; m <= n; m++)
{
for (int i = m + 1; i <= n; i++)
{
multiplier = tab[i][m];
divider = tab[m][m];
if (divider == 0) {
return 1;
}
for (int j = m; j <= n; j++)
{
if (i == n) {
break;
}
tab[i][j] = (tab[m][j] * multiplier / divider) - tab[i][j];
}
for (int j = m; j <= n; j++) {
tab[i - 1][j] = tab[i - 1][j] / divider;
}
}
}
double s = 0;
results[n - 1] = tab[n - 1][n];
int y = 0;
for (int i = n-2; i >= 0; i--)
{
s = 0;
y++;
for (int x = 0; x < n; x++)
{
s = s + (tab[i][n - 1 - x] * results[n-(x + 1)]);
if (y == x + 1) {
break;
}
}
results[i] = tab[i][n] - s;
}
}
int _tmain(int argc, _TCHAR* argv[])
{
int num;
double **array;
array = new double*[5];
for (int i = 0; i <= 5; i++)
{
array[i] = new double[2];
}
//i 0 1 2 3 4 5
array[0][0] = 1.5; //xi 1.5 2 2.5 3.5 3.8 4.1
array[0][1] = 2; //yi 2 5 -1 0.5 3 7
array[1][0] = 2;
array[1][1] = 5;
array[2][0] = 2.5;
array[2][1] = -1;
array[3][0] = 3.5;
array[3][1] = 0.5;
array[4][0] = 3.8;
array[4][1] = 3;
array[5][0] = 4.1;
array[5][1] = 7;
double W[6][7]; //n + 1
for (int i = 0; i <= 5; i++)
{
for (int j = 0; j <= 5; j++)
{
W[i][j] = polynomial(j, i, array);
}
W[i][6] = array[i][1];
}
for (int i = 0; i <= 5; i++)
{
for (int j = 0; j <= 6; j++)
{
cout << W[i][j] << "\t";
}
cout << endl;
}
double results[6];
gauss(6, W, results);
for (int i = 0; i < 6; i++) {
cout << "a" << i + 1 << " = " << results[i] << endl;
}
_getch();
return 0;
}
I believe your interpretation of the recursive polynomial generation either needs revising or is a bit too clever for me.
given P[0][5] = {1,0,0,0,0,...}; P[1][5]={1,-1,0,0,0,...};
then P[2] is a*P[0] + convolution(P[1], { c, d });
where a = -((n - 1) / n)
c = (2n - 1)/n and d= - 1/n
This can be generalized: P[n] == a*P[n-2] + conv(P[n-1], { c,d });
In every step there is involved a polynomial multiplication with (c + d*x), which increases the degree by one (just by one...) and adding to P[n-1] multiplied with a scalar a.
Then most likely the interpolation factor x is in range [0..1].
(convolution means, that you should implement polynomial multiplication, which luckily is easy...)
[a,b,c,d]
* [e,f]
------------------
af,bf,cf,df +
ae,be,ce,de, 0 +
--------------------------
(= coefficients of the final polynomial)
The definition of P1(x) = x - 1 is not implemented as stated. You have 1 - x in the computation.
I did not look any further.