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Learn The Greedy Programming Paradigm

Lesson 12 of 15 • 2 upvotes • 5:46mins

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Sanket Kashyap

After learning how to create solutions for each and every state and then levelling them up to the required final state in Dynamic Programming, this lesson we learn a method called Greedy Algorithms. While similar to Dynamic Programming in a few aspects Greedy algorithms works much faster. In this lesson understand what is a Greedy Strategy and the required properties which are explained with the help of an example. This lesson also talks about the difference in the solution using Greedy Strategy and using Dynamic Programming.

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1

Overview Of The Course: Ultimate Guide To Acing A Coding Interview

2:47mins

2

Starting With Linked Lists

6:30mins

3

Typical Problems On Linked Lists

8:54mins

4

Binary Trees: Meaning And Associated Terminology

6:03mins

5

Binary Search Trees: Writing, Traversing And Deleting

7:10mins

6

Heaps: Meaning, Types & Implementation

7:49mins

7

Importance Of Binary Search

6:42mins

8

Mergesort: Meaning & Implementation

8:03mins

9

Quicksort: Meaning & Coding

8:53mins

10

Introduction To Dynamic Programming

7:06mins

11

Levelling Up In Dynamic Programming

9:52mins

12

Learn The Greedy Programming Paradigm

5:46mins

13

Learn Bitwise Operations Tricks

8:23mins

14

Introduction To Graph Theory

6:04mins

15

Breadth First Search And Depth First Search

8:51mins

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