## UVA Problem 10405 – Longest Common Subsequence Solution

UVA Problem 10405 – Longest Common Subsequence Solution:

Solving Technique:

This one is a fun problem. For this problem we need to find Longest Common Sub Sequence length of two given strings. We can solve this using LCS Algorithm discussed in Introduction to Algorithms book. This algorithm is explained in Wikipedia and other programming language implementations can be found here.

I have provided two dynamic programming implementations below with one top down memoized ( *Slower ) and a bottom up ( *Faster ) solution.

Take the string inputs carefully there may be empty lines in between.

Overview:

Simple explanation for solution technique is we apply Dynamic Programming techniques. There are overlapping sub problems that we can combine to get original solutions.

Starting from the end of both strings. If both of the characters in string are same then we can reduce both string size by 1 length. So now if do the reverse meaning add 1 we get original solution.

In case both characters are not same keeping one string same we reduce the other one by 1 length and try to match the last characters again.

This way if two characters are  same we increase LCS length count. Among the sub problem we choose the one with longest length.

Important:  Be sure to add or print a new line after each output unless otherwise specified. The outputs should match exactly because sometimes even a space character causes the answer to be marked as wrong answer.

Input:

```bcacbcabbaccbab
bccabccbbabacbc

a1b2c3d4e
zz1yy2xx3ww4vv

abcdgh
aedfhr

abcdefghijklmnopqrstuvwxyz
a0b0c0d0e0f0g0h0i0j0k0l0m0n0o0p0q0r0s0t0u0v0w0x0y0z0

abcdefghijklmnzyxwvutsrqpo
opqrstuvwxyzabcdefghijklmn```

Output:

```11
4
3
26
14```

### Bottom Up Memoized Code:

```/**
* @author  Quickgrid ( Asif Ahmed )
* Problem: UVA 10405 Longest Common Subsequence ( LCS )
* Method:  Memorized Recursive / Top Down Solution
*/

#include<stdio.h>;
#include<string.h>;
#define SIZE 1024

static char x[SIZE], y[SIZE];
static int lcs[SIZE][SIZE];

int maxval(int a, int b){
return a > b ? a : b;
}

/*
* If the value is not -1 then it means the value of that sub problem is
* already calculated. Just return that calculated value
* If both of the characters in string are same then we can reduce both string size by 1 length and calculate rest
* Else among sub problems by reducing one string and keeping the other one same find the one with the max length
*/
int LCS(int i, int j){
if(lcs[i][j] != -1)
return lcs[i][j];

if(x[i-1] == y[j-1])
lcs[i][j] = LCS(i-1, j-1) + 1;
else
lcs[i][j] = maxval( LCS(i-1, j), LCS(i, j-1) );

return lcs[i][j];
}

int main(){
register unsigned i, j;
while(gets(x) && gets(y)){

int xlen = strlen(x);
int ylen = strlen(y);

/*
* Set -1 to all positions to indicate there are no calculated value
*/
for(i = 1; i <= xlen; ++i)
for(j = 1; j <= ylen; ++j)
lcs[i][j] = -1;

printf("%d\n", LCS(xlen,ylen) );

}
return 0;
}
```

### Top Down DP Code:

```/**
* @author  Quickgrid ( Asif Ahmed )
* Problem: UVA 10405 Longest Common Subsequence ( LCS )
* Method:  Top Down Dynamic Programming Solution
*/

#include<stdio.h>
#include<string.h>
#define SIZE 1024

static char x[SIZE], y[SIZE];
static int lcs[SIZE][SIZE];

int maxval(int a, int b){
return a > b ? a : b;
}

int main(){
register int i, j;

while(gets(x) && gets(y)){

int xlen = strlen(x);
int ylen = strlen(y);

/*
* If both of the characters in string are same then we can reduce both string size by 1 length and calculate rest
* Else among sub problems by reducing one string and keeping the other one same find the one with the max length
*/
for(i = 1; i <= xlen; ++i){
for(j = 1; j <= ylen; ++j){
if(x[i-1] == y[j-1])
lcs[i][j] = lcs[i-1][j-1] + 1;
else
lcs[i][j] = maxval(lcs[i-1][j], lcs[i][j-1]);
}
}

/*
* The max length is at the bottom right corner of the table
*/
printf("%d\n", lcs[xlen][ylen] );

}
return 0;
}
```