- How do you find the longest increasing subsequence in an array?
- What is monotonic stack Gfg?
- Which of the following methods can be used to solve the longest common subsequence problem?
- What is monotonic stack?
- What is monotonic stack in CPP?
- Why do we need to maintain lists of increasing sequences?
- What is a monotonically increasing function?

## How do you find the longest increasing subsequence in an array?

To find the LIS for a given array, we need to return max(L(i)) where 0 < i < n. Formally, the length of the longest increasing subsequence ending at index i, will be 1 greater than the maximum of lengths of all longest increasing subsequences ending at indices before i, where arr[j] < arr[i] (j < i).

**What is longest monotone sequence?**

s -Szekeres theorem, (1913-1996) and (1911-2005) resp. For example, the sequence {6, 4, 3, 2, 5, 8, 9, 7, 1, 10} contains the sequence 4, 5, 7, 10, (and other 16 such). Of course, there are examples with more than four increasing terms. In fact, this sequence contains the larger subsequence 4, 5, 8, 9, 10.

### What is monotonic stack Gfg?

A monotonic stack is a stack whose elements are monotonically increasing or descreasing. Sometimes we store the index of the elements in the stack and make sure the elements corresponding to those indexes in the stack forms a mono-sequence.

**How do you find the longest subsequence?**

The value in the last row and the last column is the length of the longest common subsequence. In order to find the longest common subsequence, start from the last element and follow the direction of the arrow. The elements corresponding to () symbol form the longest common subsequence.

## Which of the following methods can be used to solve the longest common subsequence problem?

Which of the following methods can be used to solve the longest common subsequence problem? Explanation: Both recursion and dynamic programming can be used to solve the longest subsequence problem.

**How do you find the longest increasing subsequence in an array in Python?**

Longest Increasing Subsequence in Python

- trail := an array of length 0 to length of nums – 1, and fill this with 0.
- size := 0.
- for x in nums. i := 0, j := size. while i is not j. mid := i + (j – i) / 2. if trails[mid] < x, then i := mid + 1, otherwise j := mid. trails[i] := x. size := maximum of i + 1 and size.
- return size.

### What is monotonic stack?

Monotonic Stack is a special variation of the typical data structure Stack and appeared in many interview questions. As its name shows, monotonic stack contains all features that a normal stack has and its elements are all monotonic decreasing or increasing.

**What is monotonic increasing stack?**

## What is monotonic stack in CPP?

Monotonic stack is actually a stack. It just uses some ingenious logic to keep the elements in the stack orderly (monotone increasing or monotone decreasing) after each new element putting into the stack.

**What is longest increasing subsequence (lis) problem?**

The Longest Increasing Subsequence (LIS) problem is to find the length of the longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order. For example, the length of LIS for {10, 22, 9, 33, 21, 50, 41, 60, 80} is 6 and LIS is {10, 22, 33, 50, 60, 80}.

### Why do we need to maintain lists of increasing sequences?

To make it clear, consider the array is {2, 5, 3, 1, 2, 3, 4, 5, 6}. Making 1 as new sequence will create new sequence which is largest. The observation is, when we encounter new smallest element in the array, it can be a potential candidate to start new sequence. From the observations, we need to maintain lists of increasing sequences.

**What happens when you make 1 as a new sequence?**

Making 1 as new sequence will create new sequence which is largest. The observation is, when we encounter new smallest element in the array, it can be a potential candidate to start new sequence.

## What is a monotonically increasing function?

A function that is monotonically increasing is always increasing on its domain; a condition of this is to have the derivative of the function being greater than or equal to zero.