Tubidy
    Find The Longest Increasing Subsequence - Dynamic Programming Fundamentals

    Find The Longest Increasing Subsequence - Dynamic Programming Fundamentals

    19:20 |
    Download MP3

    Related Videos

    Build A Min Height BST From A Sorted Array | Coding Interview Question 6:55

    Build A Min Height BST From A Sorted Array | Coding Interview Question

    Introducing Asymptotic Notations 5:17

    Introducing Asymptotic Notations

    The Backtracking Blueprint: The Legendary 3 Keys To Backtracking Algorithms 13:44

    The Backtracking Blueprint: The Legendary 3 Keys To Backtracking Algorithms

    Deeply Understanding Logarithms In Time Complexities & Their Role In Computer Science 10:24

    Deeply Understanding Logarithms In Time Complexities & Their Role In Computer Science

    The Quicksort Sorting Algorithm: Pick A Pivot, Partition, & Recurse 26:31

    The Quicksort Sorting Algorithm: Pick A Pivot, Partition, & Recurse

    The Change Making Problem - Fewest Coins To Make Change Dynamic Programming 23:12

    The Change Making Problem - Fewest Coins To Make Change Dynamic Programming

    Edit Distance Between 2 Strings - The Levenshtein Distance ("Edit Distance" on LeetCode) 16:16

    Edit Distance Between 2 Strings - The Levenshtein Distance ("Edit Distance" on LeetCode)

    i'm starting a coding interview class 4:19

    i'm starting a coding interview class

    Implement A Binary Heap - An Efficient Implementation of The Priority Queue ADT (Abstract Data Type) 20:19

    Implement A Binary Heap - An Efficient Implementation of The Priority Queue ADT (Abstract Data Type)

    Interval Scheduling Maximization (Proof w/ Exchange Argument) 20:20

    Interval Scheduling Maximization (Proof w/ Exchange Argument)

    Binary Tree Bootcamp: Full, Complete, & Perfect Trees. Preorder, Inorder, & Postorder Traversal. 20:00

    Binary Tree Bootcamp: Full, Complete, & Perfect Trees. Preorder, Inorder, & Postorder Traversal.

    Longest Common Subsequence (2 Strings) - Dynamic Programming & Competing Subproblems 25:31

    Longest Common Subsequence (2 Strings) - Dynamic Programming & Competing Subproblems

    The 0/1 Knapsack Problem (Demystifying Dynamic Programming) 20:30

    The 0/1 Knapsack Problem (Demystifying Dynamic Programming)

    Compute The Next Permutation of A Numeric Sequence - Case Analysis ("Next Permutation" on Leetcode) 12:40

    Compute The Next Permutation of A Numeric Sequence - Case Analysis ("Next Permutation" on Leetcode)

    Why Is Merge Sort O(n * log(n))? The Really Really Long Answer. 36:50

    Why Is Merge Sort O(n * log(n))? The Really Really Long Answer.

    The N Queens Problem using Backtracking/Recursion - Explained 14:29

    The N Queens Problem using Backtracking/Recursion - Explained

    A Detailed Algorithmic Analysis of Insertion Sort. Best Case & Worst Case. 36:39

    A Detailed Algorithmic Analysis of Insertion Sort. Best Case & Worst Case.

    Clone A Linked List (With Random Pointers) - Linear Space Solution & Tricky Constant Space Solution 17:38

    Clone A Linked List (With Random Pointers) - Linear Space Solution & Tricky Constant Space Solution

    Total Unique Ways To Make Change - Dynamic Programming ("Coin Change 2" on LeetCode) 11:42

    Total Unique Ways To Make Change - Dynamic Programming ("Coin Change 2" on LeetCode)

    Find The Longest Increasing Subsequence - Dynamic Programming Fundamentals 19:21

    Find The Longest Increasing Subsequence - Dynamic Programming Fundamentals