I am trying to solve this problem. http://www.lintcode.com/en/problem/coin-change-ii/#
This is the standard coin change problem solvable with dynamic programming. The goal is to find the number of ways to create an amount using an infinite set of coins, where each has a certain value. I have created the following solution :
public int change(int amount, int[] coins) {
// write your code here
int[] dp = new int[amount + 1];
dp[0] = 1;
// for(int coin : coins) {
// for(int i = 1; i <= amount; i++) {
// if(i >= coin) dp[i] += dp[i-coin];
// }
// }
for(int i = 1; i <= amount; i++) {
for(int coin : coins) {
if(i >= coin) dp[i] += dp[i-coin];
}
}
return dp[amount];
}
Why does the first for loop give the correct answer, but the second one does not? What am I missing here? Shouldn't the answer be the same? Could you provide a visual to help me "see" why the second for loop is incorrect?
When the amount = 8 and coins = [2,3,8] the output is 5 when it should be 3 when using the 2nd for loop's technique which is not correct.
Thank you.
Let's consider the loop that works first:
for(int coin : coins) {
for(int i = 1; i <= amount; i++) {
if(i >= coin) dp[i] += dp[i-coin];
}
}
Each iteration of the outer loop takes a coin of one value and finds out the number of ways to reach any value between the coin value and amount, adding that coin to the result of the previous iterations.
Considering your amount = 8 and coins = [2,3,8] example:
The array is initialized to
index 0 1 2 3 4 5 6 7 8
value 1 0 0 0 0 0 0 0 0
which means that without any of the coins, the only amount we can reach is 0, and we have a single way to reach that amount (0 2s, 0 3s, 0 8s).
Now we find the amounts we can reach with just the coin of value 2:
index 0 1 2 3 4 5 6 7 8
value 1 0 1 0 1 0 1 0 1
It's not surprising that we can reach any even amount. For each such amount we have a single way to reach that amount (1 2s to reach 2, 2 2s to reach 4, etc...).
Now we find the amounts we can reach with coins of value 2 or 3. We can reach an amount k using a single coin of 3 if we already found ways to reach the amount k-3.
Below I show the number of ways to reach each value between 0 and 8, and specify how many coins of each type are used in each combination.
index 0 1 2 3 4 5 6 7 8
value 1 0 1 1 1 1 2 1 2
0x2 - 1x2 0x2 2x2 1x2 3x2 2x2 4x2
0x3 - 0x3 1x3 0x3 1x3 0x3 1x3 0x3
or or
0x2 1x2
2x3 3x3
Finally, in the last iteration we consider the coin of 8. It can only be used to reach the amount 8, so we get the final result:
index 0 1 2 3 4 5 6 7 8
value 1 0 1 1 1 1 2 1 3
When you swap the loops:
for(int i = 1; i <= amount; i++) {
for(int coin : coins) {
if(i >= coin) dp[i] += dp[i-coin];
}
}
you bring the order the coins are added into play. For example, the amount 5 can be reached by either first taking a coin of 2 and then a coin of 3, or by first taking a coin of 3 and then a coin of 5. Therefore the value of dp[5] is now 2.
Similarly, dp[8] results in 5 since you can take any of the following sequences of coins:
2+3+3
3+2+3
3+3+2
2+2+2+2
8
The original loop doesn't distinguish between 2+3+3, 3+2+3 and 3+3+2. Hence the different output.
private static int coinChange(int[] coins, int sum) {
int size = coins.length;
int[][] arr = new int[size + 1][sum + 1];
// Applying the recursive solution:
for(int i = 1; i < size +1; i++){
for(int j = 1; j < sum +1; j++) {
arr[i][0] = 1;
if (coins[i - 1] > j) {
arr[i][j] = arr[i - 1][j];
} else
arr[i][j] = arr[i - 1][j]+arr[i][j - coins[i - 1]] ;
}}
return arr[size][sum];enter code here
Related
So I've been working on this lab for a while now for my programming class and so far I think I'm on the right track.
However, I'm not quite sure how to mirror the numbers. So pretty much, my code is only printing the top half of the triangle. Anyway here is the actual assignment that was given to us:
Write a program using a Scanner that asks the user for a number n between 1 and 9 (inclusive). The program prints a triangle with n rows. The first row contains only the square of 1, and it is right-justified. The second row contains the square of 2 followed by the square of 1, and is right justified. Subsequent rows include the squares of 3, 2, and 1, and then 4, 3, 2 and 1, and so forth until n rows are printed.
Assuming the user enters 4, the program prints the following triangle to the console:
1
4 1
9 4 1
16 9 4 1
9 4 1
4 1
1
For full credit, each column should be 3 characters wide and the values should be right justified.
Now here is what I have written for my code so far:
import java.util.Scanner;
public class lab6 {
public static void main(String[] args) {
Scanner kybd = new Scanner(System.in);
System.out.println(
"Enter a number that is between 1 and 9 (inclusive): ");
// this is the value that the user will enter for # of rows
int rows = kybd.nextInt();
for (int i = rows; i > 0; i--) {
for (int j = rows; j > 0; j--)
System.out.print((rows - j + 1) < i ?
" " : String.format("%3d", j * j));
System.out.println();
}
}
}
And this is what that code PRINTS when I enter 4:
Enter a number that is between 1 and 9 (inclusive):
4
1
4 1
9 4 1
16 9 4 1
As you can see, I can only get the TOP half of the triangle to print out. I've been playing around trying to figure out how to mirror it but I can't seem to figure it out. I've looked on this website for help, and all over the Internet but I can't seem to do it.
Answer is:
public static void main(String... args) {
Scanner kybd = new Scanner(System.in);
System.out.println("Enter a number that is between 1 and 9 (inclusive): ");
int rows = kybd.nextInt(); // this is the value that the user will enter for # of rows
for (int i = -rows + 1; i < rows; i++) {
for (int j = -rows; j < 0; j++)
System.out.print(abs(i) > j + rows ? " " : String.format("%3d", j * j));
System.out.println();
}
}
Try think of this as how to find points(carthesians) that are betwean three linear functions(area of triangle that lied betwean):
y = 0 // in loops i is y and j is x
y = x + 4
y = -x -4
And here is example result for 4:
And 9:
In the outer loop or stream you have to iterate from 1-n to n-1 (inclusive) and take absolute values for negative numbers. The rest is the same.
If n=6, then the triangle looks like this:
1
4 1
9 4 1
16 9 4 1
25 16 9 4 1
36 25 16 9 4 1
25 16 9 4 1
16 9 4 1
9 4 1
4 1
1
Try it online!
int n = 6;
IntStream.rangeClosed(1 - n, n - 1)
.map(Math::abs)
.peek(i -> IntStream.iterate(n, j -> j > 0, j -> j - 1)
// prepare an element
.mapToObj(j -> i > n - j ? " " : String.format("%3d", j * j))
// print out an element
.forEach(System.out::print))
// start new line
.forEach(i -> System.out.println());
See also: Output an ASCII diamond shape using loops
Another alternative :
public static void main(String args[]) {
Scanner kybd = new Scanner(System.in);
System.out.println("Enter a number that is between 1 and 9 (inclusive): ");
int rows = kybd.nextInt(); // this is the value that the user will enter for # of rows
int row = rows, increment = -1;
while (row <= rows){
for (int j = rows; j > 0; j--) {
System.out.print(rows - j + 1 < row ? " " : String.format("%3d", j * j));
}
System.out.println();
if(row == 1) {
increment = - increment;
}
row += increment;
}
}
The outer loop from 1-n to n-1 inclusive, and the inner decrementing loop from n to 0. The if condition is the absolute value of i should not be greater than n - j.
Try it online!
int n = 6;
for (int i = 1 - n; i <= n - 1; i++) {
for (int j = n; j > 0; j--)
if (Math.abs(i) > n - j)
System.out.print(" ");
else
System.out.printf("%3d", j * j);
System.out.println();
}
Output:
1
4 1
9 4 1
16 9 4 1
25 16 9 4 1
36 25 16 9 4 1
25 16 9 4 1
16 9 4 1
9 4 1
4 1
1
See also: Invert incrementing triangle pattern
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How do I get the kth combination inNCR. without iterating through all possible outcomes. e.g. say I have 3C2 for 3 positions and 2identical-items. I am aware it's [011],[101] and [110]. how do I get e.g. the 2nd term(k=1) which is [101] using a method?
constraints(R < N k >= 0 and k < P where P = NCR).
NB:[101] is the 2nd term(in ascending/lexicographical order) because 011 = 3,101 = 5 ,110 = 6
in decimal. so basically the goal is to get what number k in NCR is,
because every kth output from NCR can be represented as a number.
Yes, you are correct when you say:
because every kth output from NCR can be represented as a number.
There is a bijection from the set of integers 1 to # of combs/perms to the entire set of combs/perms. Finding the specific index of a particular comb/perm is sometimes referred to as getting the rank. According to the example that you have in your question, these are ordinary permutations. Moreover when you mention ascending order, you are referring to the lexicographical order.
It is a straightforward exercise in counting to obtain the nth ordinary permutation of a given set. We first need to obtain the total number of permutations using the well established formula:
P(n, r) = n! / (n - r)!
This next part is the key observation that allows us to quickly obtain each element of our target permutation.
If we look at all permutations of our set of n choose r, there will be n groups that are only different by a permutation of the n elements.
For example, if we look at the first two group of the permutations of [0 1 2 3] choose 3, we have:
[,0] [,1] [,2]
[0,] 0 1 2
[1,] 0 1 3
[2,] 0 2 1
[3,] 0 2 3
[4,] 0 3 1
[5,] 0 3 2
[6,] 1 0 2
[7,] 1 0 3
[8,] 1 2 0
[9,] 1 2 3
[10,] 1 3 0
[11,] 1 3 2
Note that the last permutations are simply the first 6 permutations of the set [1 0 2 3].. that is, 0 is mapped to 1, 1 is mapped to 0, and the final 2 elements are mapped to themselves.
This pattern continues as we move to the right only instead of n identical groups, we will get n - 1 similar groups for the second column, n -2 for the third, and so on.
So to determine the first element of our permutation, we need to determine the 1st group. We do that by simply dividing the number of permutations by n. For our example above of permutations of 4 choose 3, if we were looking for the 15th permutation, we have the following for the first element:
Possible indices : [0 1 2 3]
P(4, 3) = 24
24 / 4 = 6 (elements per group)
15 / 6 = 2 (integer division) 2 means the 3rd element here (base zero)
Now that we have used the 3rd element, we need to remove it from our array of possible indices. How do we get the next element?
Easy, we get our next subindex by subtracting the product of the group we just found and the elements per group from our original index.
Possible indices : [0 1 3]
Next index is 15 - 6 * 2 = 3
Now, we just repeat this until we have filled all entries:
Possible indices : [0 1 3]
Second element
6 / 3 = 2 (elements per group)
3 / 2 = 1
Next index is 3 - 3 * 1 = 0
Possible indices : [0 3]
Third element
2 / 2 = 1
0 / 1 = 0
So our 15th element is : [2 1 0]
Here is a C++ implementation that should be pretty easy to translate to Java:
double NumPermsNoRep(int n, int k) {
double result = 1;
double i, m = n - k;
for (i = n; i > m; --i)
result *= i;
return result;
}
std::vector<int> nthPermutation(int n, int r, double myIndex) {
int j = 0, n1 = n;
double temp, index1 = myIndex;
std::vector<int> res(r);
temp = NumPermsNoRep(n, r);
std::vector<int> indexVec(n);
std::iota(indexVec.begin(), indexVec.end(), 0);
for (int k = 0; k < r; ++k, --n1) {
temp /= n1;
j = (int) std::trunc(index1 / temp);
res[k] = indexVec[j];
index1 -= (temp * (double) j);
indexVec.erase(indexVec.begin() + j);
}
}
These concepts extends to other types of combinatorial problems, such as finding the nth combination, or permutation with repetition, etc.
The time complexity is O(kn), space is O(n)
public static void main(String[] args) {
//n = 4, r = 2, k = 3
int[] ret1 = getKthPermutation(4, 2, 3);
//ret1 is [1,0,0,1]
//n = 3, r = 2, k = 1
int[] ret2 = getKthPermutation(3, 2, 1);
//ret2 is [1,0,1]
}
static int[] getKthPermutation(int n, int r, int k) {
int[] array = new int[n];
setLastN(array, r, 1);
int lastIndex = n - 1;
for(int count = 0; count < k; count++) {
int indexOfLastOne = findIndexOfLast(array, lastIndex, 1);
int indexOfLastZero = findIndexOfLast(array, indexOfLastOne, 0);
array[indexOfLastOne] = 0;
array[indexOfLastZero] = 1;
//shortcut: swap the part after indexOfLastZero to keep them sorted
int h = indexOfLastZero + 1;
int e = lastIndex;
while(h < e) {
int temp = array[h];
array[h] = array[e];
array[e] = temp;
h++;
e--;
}
}
return array;
}
//starting from `from`, and traveling the array forward, find the first `value` and return its index.
static int findIndexOfLast(int[] array, int from, int value) {
for(int i = from; i > -1; i--)
if(array[i] == value) return i;
return -1;
}
//set the last n elements of an array to `value`
static void setLastN(int[] array, int n, int value){
for(int i = 0, l = array.length - 1; i < n; i++)
array[l - i] = value;
}
This is an adaption of the very typical "find the kth permation" algorithm.
I will try to explain the general idea (yours is a special case as there are only two types of elements: 0 and 1).
Lets say I have [2,1,6,4,7,5]. What is the next smallest permutation that is bigger than the current one? Why do I concern the next smallest permutation bigger than current one? Because if you start with the smallest permutation [1,2,4,5,6,7] and you repeat the action (find the smallest bigger than current) k times, you will find k+1 th smallest permutation.
Now, since the one I am looking for needs to be bigger than current one, I need to increment the current one. To keep the incrementation as small as possible, I am going to try to modify 5 (last one). Now, I cannot just change 5 to a random value, I can only swap it with some digit before it.
If I swap 5 with a bigger number before it, say 7, then I will get [2,1,6,4,5,7], which is smaller than current one. Now obviously I need to swap 5 with some smaller digit before it, but which one? If I swap 5 with 2, I get [5,1,6,4,7,2], this increment is too big. I need to swap 5 with a "lower digit" to keep the increment as small as possible. Thats leads us to find the first(lowest) digit (from right to left) that is smaller than 5. In this case I would need to swap 5 with 4 and get [2,1,6,5,7,4]. This way, I can make the impact of "swap" small. Now the prefix is decided [2,1,6,5. There is no smaller prefix. We need to deal with suffix 7,4]. Clearly, if we sort the suffix and make it 4,7], then we are done.
In our case, there are two differences:
1. we need to swap the last 1, because you cannot make the permutation bigger by swapping the a zero with any digit before it.
2. we can always sort the suffix using a shortcut as shown in the code. I will leave it to you:)
public static String lexicographicPermutation(String str, long n) {
final long[] factorials = { 1, 2, 6, 24, 120, 720, 5040, 40320, 362880, 3628800, 39916800, 479001600 };
n--;
char[] arr = str.toCharArray();
for (int i = 0; i < arr.length - 1; i++) {
long fact = factorials[arr.length - i - 2];
long p = i + n / fact;
n %= fact;
for (int j = i + 1; j <= p; j++)
swap(arr, i, j);
}
return new String(arr);
}
private static void swap(char[] arr, int i, int j) {
char tmp = arr[i];
arr[i] = arr[j];
arr[j] = tmp;
}
You can replace STR with required string. In the given example, 1st permutation is "abcdefghijklm" (this is a string with 13 chars), 13!st permutation is reverse string "mlkjihgfedcba" and 100st permutation is "abcfklgmeihjd".
To realise this soulution just google Factorial number system. This is a key to solve this problem. This is a Project Euler: Problem 24.
Demo:
for(int i = 1; i <= 6; i++)
System.out.println(lexicographicPermutation("110", i));
1 - 110
2 - 101
3 - 110
4 - 101
5 - 011
6 - 011
for(int i = 1; i <= 6; i++)
System.out.println(lexicographicPermutation("abc", i));
1 - abc
2 - acb
3 - bac
4 - bca
5 - cab
6 - cba
I am trying to understand this code from the book.
int[][] grade = {
{ 1, 0, 1 },
{ 0, 1, 0 },
{ 1, 0, 1 }
};
for (int i = 0; i < 3; i++) {
for (int j = 0; j < 3; j++) {
if (i == j)
System.out.print(grade[i][j] + grade[j][i] + " ");
else
System.out.print(grade[i][j] * grade[j][i] + " ");
}
System.out.println(" ");
}
I understand the logic of a two-dimensional arrays being rows and columns. I just don’t understand how the answer came to be this.
2 0 1
0 2 0
1 0 2
It loops through the 2 dimensional array.
If i is equal to j, e.g ( 0,0 1,1 2,2 ) then it adds grade[i][j] with grade[j][i]. Since i and j are equal it adds the location with itself.
When i is not equal to j it multiplies grade[i][j] with grade[j][i].
Since they are not equal it multiplies 2 different positions in the grid.
e.g.
grade [3][1] is multiplied by grade[1][3], not by itself.
If you changed grade[1][3] to 2, then all corners would be output as 2
The input:
1 0 2
0 1 0
1 0 1
would output:
2 0 2
0 2 0
2 0 2
It basically loops through the two dimensional array and if it sees that the column and row number (i and j) are the same it will add it with itself. i.e. times the diagonal by two. And for the rest of the entries it will multiply with itself.
T - number of test cases | 1<=T<=10 and n - number of elements | 1<=n<=1000000
Eg
if (T >= 1 && T <= 10) {
for (int i = 0; i < T; i++) {
int n = sc.nextInt();
if (n > 0 && n <= 1000000) {
array = new int[n][n];
System.out.print("\n" + sumOfArray(array, n));
}
}
}
Need to find the sum of M[i][j], where M[i][j] = (int) i/j;
I have written the code, but for n>10000, I start getting OOM, (for obvious reason).
If someone can help me with it, it'll be great. Need a whole new approach on solving the problem.
Eg.
Input Output
2
2 4
4 17
Here It is obvious that you don't need to store the values in the matrices because It is not possible to have that much space (Array[10000][10000]) available to allocate. So you need to think somehow in a mathematical way.
Consider a 4x4 Matrix and represent each element in the term of i,j.
1,1 1,2 1,3 1,4
2,1 2,2 2,3 2,4
3,1 3,2 3,3 3,4
4,1 4,2 4,3 4,4
Now we can represent here that what is stored in each of these elements.
1/1 1/2 1/3 1/4 (In Integers) 1 0 0 0
2/1 2/2 2/3 2/4 ============> 2 1 0 0
3/1 3/2 3/3 3/4 3 1 1 0
4/1 4/2 4/3 4/4 4 2 1 1
Tackle this matrix by dividing it into columns and solve each of the columns.
For the first column series would be 1+2+3+4.Then for the column number two(2) the series would be 0+1+1+2.
Notice here that for ith column first i-1 values are zeros and then i values are same in the column. Then value is increased. Again it will be same for i values. Again increases by 1 and so on.
So in ith column value get increased on the jth element where j%i==0.
So you can implement this logic in 1-D array and Complexity of this approach will be O(n logn) for each testcase.
Code:
import java.util.Scanner;
public class Main
{
public static void main(String args[])
{
Scanner sc=new Scanner(System.in);
int testcases=sc.nextInt();
while(testcases-- >0)
{
int n=sc.nextInt();
long array[]=new long[n+1]; //Take long array to avoid overflow
for(int i=1;i<=n;i++)
{
for(int j=i;j<=n;j+=i)
{
array[j]++; //This will store that which elements get increased
//from zero how many times
}
}
//Now we can do summation of all elements of array but we need to do prefix sum here
long sum=0;
for(int i=1;i<=n;i++)
{
array[i]+=array[i-1];
sum+=array[i];
}
System.out.println(sum);
}
}
}
For example, say we have a Sudoku board like this:
0 0 6 5 8 9 7 4 3
0 5 0 0 0 0 0 6 0
7 0 9 0 6 0 1 0 0
0 3 0 0 0 2 0 8 7
0 0 1 0 0 0 4 0 0
8 9 0 6 0 0 0 5 0
0 0 2 0 5 0 3 0 6
0 7 0 0 0 0 0 9 0
3 1 8 4 9 6 5 0 0
I want to store it into one array such that the first 9 elements of the array are the first sub block, i.e. the values {0 0 6 0 5 0 7 0 9} and followed by {5 8 9 0 0 0 0 6 0}.
I've tried finding a solution but I always get an array index out of bounds error and it is too brute force. Something similar to this:
while(st.hasMoreTokens()) {
if(ctr == 27) {
c.addSubBlock(sb1);
c.addSubBlock(sb2);
c.addSubBlock(sb3);
sb1 = new SubBlock();
sb2 = new SubBlock();
sb3 = new SubBlock();
ctr = 0;
}
sb1.addElement(Integer.parseInt(st.nextToken()));
sb1.addElement(Integer.parseInt(st.nextToken()));
sb1.addElement(Integer.parseInt(st.nextToken()));
sb2.addElement(Integer.parseInt(st.nextToken()));
sb2.addElement(Integer.parseInt(st.nextToken()));
sb2.addElement(Integer.parseInt(st.nextToken()));
sb3.addElement(Integer.parseInt(st.nextToken()));
sb3.addElement(Integer.parseInt(st.nextToken()));
sb3.addElement(Integer.parseInt(st.nextToken()));
ctr+=9;
}
Please give me some tips. Code snippets would also be a great help.
EDIT: This thread somehow helped me figured it out. And yes, this is part of the Sudoku where I'm trying to encode the board into an array.
What I did was to transform first the input String into a 2d array (9x9) and use int block = (row/3)*3 + (col/3); to compute exactly which sub block each element belongs.
Create a 3x3 array of sub blocks
Use 2 counters (x & y) for tracking the position in the full board of each element read
Add the values at (x,y) into sub block (x/3,y/3)
Something like this:
SubBlock board[][] = new SubBlock[3][3];
int x, y;
for ( y=0; y<9; y++ )
for ( x=0; x<9; x++ )
board[y/3][x/3].addElement(Integer.parseInt(st.nextToken()));
board[0][0] will be the top-left SubBlock, board[2][2] the bottom-right one.
Store everything in a two dimension array. E.g.
int[] board = {
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}
{1,2,3,4,5,6,7,8,9}};
//looping
public static void Main(string[] args){
for(int i = 0; i < 9; i++)
{
System.out.println("SubBlock number"+i);
for(int j = 0; j < 9; j++){
System.out.println(board[i][j]);
}
}
}
Assuming that you are reading input left to right, top to bottom, try a set of 4 nested loops like this:
int board[] = new int[81];
for (int outY = 0; outY < 3; outY++)
{
for (int outX = 0; outX < 3; outX++)
{
for (int inY = 0; inY < 3; inY++)
{
for (int inX = 0; inX < 3; inX++)
{
board[27*outY + 9*outX + 3 * inY + inX] = //parse an int from your input here
}
}
}
}
It would be great if we knew why you are trying to loop through the board.
If you want to check if you can enter a number, I recommend you use maps for each of the 3x3 squares.
Then check if the item is in the map already or not. For the rows and columns, you can either loop over the 2D array and check each element, or -again- use a map for each column and a map for each row.
I'm not entirely sure if you want an answer for a single-dimension array or if you're willing to make it a two-dimensional array (as you mention each nine element set with curly braces), but if two-dimensional is OK...
The OP in this Code Review posting used a 'fancy' way of sifting through the subgrids by using the math (i % 3) + rowStart inside one of the square brackets and (i / 3) + colStart inside the other. One commenter noted this modulo method to be a bit obscure, and I'm prone to agree, but for how clean it is and the fact that it works, I think it's a solid solution. So, paired with the iteration of the for loop, we can sift through each 'subgrid' cell, as well as each element of row + col.
for(i=0; i<9; ++i)
{
if (puzzle[row][i] == num) return 0;
if (puzzle[i][col] == num) return 0;
if (puzzle[rowStart + (i%3)][colStart + (i/3)] == num) return 0;
}
If we find a number in one of the cells that matches, it's a duplicate, and we exit the function as 'false', or, 0.
EDIT:
Now that I think of it, you could use this same trick for a single-dimension array by using i % 9 instead of 3. You could then determine which 'row' we're on by doing i / 9 and trusting that, since we're dealing with type ints, we'll truncate the unnecessary decimals.
This does verify that this trick is a bit prone towards N-1 indexed data, as someone would assume 'go to the 81st element' would mean go to the 9th column of the 9th row, but using 81 % 9 would yield 0, and 81 / 9 would yield 9, so we'd go to the 0th place at row 9.