find the longest monotonically increasing subsequence of a sequence of n numbers?

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I have algorithm of the longest monotonically increasing subsequence of a sequence of n numbers
Let S[1]S[2]S[3]...S[n] be the input sequence.
Let L[i] , 1<=i <= n, be the length of the longest monotonically increasing subsequence of the first i letters S[1]S[2]...S[i] such that the last letter of the subsequence is S[i].
Let P[i] be the position of the letter before S[i] in the longest subsequence of the first i letters such that the last letter is S[i].
T is the resulting subsequence.
Algorithm
  1. for i=1 to n do
  2. L[i] = 1
  3. P[i] = 0
  4. forj = 1 to i-1 do
  5. if S[j] < S[i] and L[j] >= L[i] then
  6. L[i]= L[j]+1
  7. P[i]= j
  8. endif
  9. endfor
  10. endfor
  11. Get the largest value L[k] in L[1]…L[n]
  12. i = 1 // backtracking
  13. j = k
  14. Do
  15. T[i] = S[j]
  16. i++; j= P[j]
  17. Until j=0
  18. Output L[k] and the reverse of T.
I worte the code for this algorithm, but I am not getting how to assign values in backtracking from line 11 to 18.
clear all;
clc;
% S = input('Please enter an array> ');
S=[18 32 5 6 17 1 19 22 13];
n=length (S);
conuter = 1;
for i=1:n
L(i) = 1;
P(i) = 0;
for j= 1:i-1
if S(j) < S(i) && L(j) >= L(i)
L(i)= L(j)+1;
P(i)= j;
end
end
end
L_max = max(L)
k= find(L==max(L))
i = 1; %backtracking
j = k;
T(i) = S(j)

Accepted Answer

Stephen23
Stephen23 on 16 Nov 2018
A simple recursive function does the trick:
function V = longestMono(S)
%S = [18,32,5,6,17,1,19,22,13];
V = [];
for k = 1:numel(S)
recfun(S(k),S(k+1:end))
end
% Recursive function:
function recfun(Z,S)
if numel(Z)>numel(V)
V = Z;
end
for k = 1:numel(S)
if Z(end)<S(k)
recfun([Z,S(k)],S(k+1:end))
end
end
end
end
And tested:
>> S = [18,32,5,6,17,1,19,22,13];
>> V = longestMono(S)
V =
5 6 17 19 22

More Answers (2)

Guillaume
Guillaume on 16 Nov 2018
Your question is confusing.You talk of finding "the longest monotonically increasing subsequence of a sequence of n numbers", then of "the first i letters [...] the last letter". Is it letters or numbers (not that it matters much)?
I've not tried to understand your algorithm fully but it doesn't appear to me that it's just trying to find the longest sequence. Finding the longest sequence is easily done with a single loop (explicit or implicit). It doesn't need all the backtracking that your j loop does, nor whatever that latter 'backtracking' step is:
S = [18 32 5 6 17 1 19 22 13];
ismonotonicallyincreasing = diff(S) >= 0; %implicit loop over the elements of s
seqbounds = find(diff([false, ismonotonicallyincreasing, false]));
seqlengths = seqbounds(2:2:end) - seqbounds(1:2:end) + 1;
[maxlength, idx] = max(seqlengths);
maxsequence = S(seqbounds(idx*2-1):seqbounds(idx*2));
The same with an explicit loop, which may actually be faster:
S = [18 32 5 6 17 1 19 22 13];
maxlength = 1; maxsequence = []; curstart = 1; curlength = 1;
for idx = 2:numel(S)
if S(idx) > S(idx-1)
curlength = curlength + 1;
else
if curlength > maxlength
maxsequence = S(curstart:idx-1);
maxlength = curlength;
end
curstart = idx;
curlength = 1;
end
end
  4 Comments
Guillaume
Guillaume on 16 Nov 2018
Stephen, probably. I'll play the non-native speaker card (although it's probably the same in French).

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Bilal Ghori
Bilal Ghori on 16 Nov 2018
I hope this would help,
clc;
clear;
%S=input('Please, Enter a sequence of numbers as a row vector:For Example:S=[s1,s2,s3,.....sn]:=')
S=[18, 32, 5, 6, 17, 1, 19, 22, 13];
disp('Input Sequence:')
disp(S)
n=length(S);
for i=1:n
L(i)=1;
P(i)=0;
for j=1:i-1
if (S(j)<S(i)) && (L(j)>=L(i))
L(i)=L(j)+1;
P(i)=j;
end
end
end
i=1; % Backtracking
k=n-1; %(k is the position of second last element in input sequence)
j=k;
while j>0
T(i)=S(j); % the resulting subsequence
Subsequence=T(end:-1:1)
i=i+1;
j=P(j);
end
disp('The longest monotonically increasig subsequence is:=')
disp(T(end:-1:1))
  6 Comments
Bilal Ghori
Bilal Ghori on 17 Nov 2018
If we start backtracking by picking an element at last position of input sequence i.e.(k=n), i got this result and the same from longstMono(S) (stephen's code),
Input Sequence:
1 8 2 9 3 10 4 5
Subsequence =
5
Subsequence =
4 5
Subsequence =
3 4 5
Subsequence =
2 3 4 5
Subsequence =
1 2 3 4 5
Length of longest subsequence is:=
max_length =
5
The longest monotonically increasig subsequence is:=
1 2 3 4 5
>>
the same output from stephen's code longestMono(S)
longestMono
S =
1 8 2 9 3 10 4 5
ans =
1 2 3 4 5
this suggests that, we should start backtracking from last element of input sequence (k=n) to get the longest increasing subsequence.
Bilal Ghori
Bilal Ghori on 17 Nov 2018
Edited: Bilal Ghori on 17 Nov 2018
Guillaume, thanks for recommendation, i will definitely use format compact for next examples.
Acknowledged.

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