Recursion and Backtracking (Memoization, D&C, Combinations)
Recursion and Backtracking (Memoization, D&C, Combinations), available at $39.99, has an average rating of 4.55, with 13 lectures, based on 212 reviews, and has 12320 subscribers.
You will learn about You will be able to solve almost any problem involving recursion or at least easily understand the logic behind it. You will learn Backtracking and be able to solve famous Backtracking problems that may be asked in the coding interviews. You will have the sufficient knowledge and skill to easily understand and learn Data Structures and Algorithms. You will learn how to create and solve problems having to do with Recurrence Relations. You will learn the Basics of Programming Paradigms such as Dynamic Programming, Divide and Conquer and Backtracking. This course is ideal for individuals who are Anyone who wants to improve his/her skills in Recursion and Backtracking. or Coders who want to do good in coding interviews. or Struggling students in the topic of Recursion and Backtracking. or Students who want to understand better Dynamic Programming and other Paradigms. or Coders who have just learned a Programming Language. It is particularly useful for Anyone who wants to improve his/her skills in Recursion and Backtracking. or Coders who want to do good in coding interviews. or Struggling students in the topic of Recursion and Backtracking. or Students who want to understand better Dynamic Programming and other Paradigms. or Coders who have just learned a Programming Language.
Enroll now: Recursion and Backtracking (Memoization, D&C, Combinations)
Summary
Title: Recursion and Backtracking (Memoization, D&C, Combinations)
Price: $39.99
Average Rating: 4.55
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- You will be able to solve almost any problem involving recursion or at least easily understand the logic behind it.
- You will learn Backtracking and be able to solve famous Backtracking problems that may be asked in the coding interviews.
- You will have the sufficient knowledge and skill to easily understand and learn Data Structures and Algorithms.
- You will learn how to create and solve problems having to do with Recurrence Relations.
- You will learn the Basics of Programming Paradigms such as Dynamic Programming, Divide and Conquer and Backtracking.
Who Should Attend
- Anyone who wants to improve his/her skills in Recursion and Backtracking.
- Coders who want to do good in coding interviews.
- Struggling students in the topic of Recursion and Backtracking.
- Students who want to understand better Dynamic Programming and other Paradigms.
- Coders who have just learned a Programming Language.
Target Audiences
- Anyone who wants to improve his/her skills in Recursion and Backtracking.
- Coders who want to do good in coding interviews.
- Struggling students in the topic of Recursion and Backtracking.
- Students who want to understand better Dynamic Programming and other Paradigms.
- Coders who have just learned a Programming Language.
If you have trouble understanding Recursion and Backtracking, which is a recursion based technique, then this course is for you, since it is a course solely dedicated to Recursion and All types of Algorithms related to it.
In this course the Basics of Recursion will be learned. The basic Algorithm Design techniques like Divide and Conquer, Dynamic Programming and Backtracking(Exhaustive Search) will be discussed and many problems related to them will be solved.
Many different type of problems will be solved, from the simplest, finding the sum of numbers, to more difficult ones like Combinations, Permutations, Memoizations and the famous Flood Fill and N-queen Problem.
Course Curriculum
Chapter 1: The Source Code
Lecture 1: The Source Code
Chapter 2: Introduction
Lecture 1: Recursion Problems
Lecture 2: Flood Fill Problem
Chapter 3: Divide and Conquer
Lecture 1: Merge Sort
Chapter 4: Exhaustive Search(Backtracking)
Lecture 1: Combinations
Lecture 2: Magnet Chain Problem
Lecture 3: Maze Problem (Simplified)
Chapter 5: Backtracking (The Next Level)
Lecture 1: Gold Collector
Lecture 2: Permutations
Lecture 3: Backtracking
Chapter 6: Backtracking (Practice)
Lecture 1: Maze Problem Revised
Lecture 2: Knight Problem
Lecture 3: N-queens Problem
Instructors
-
Arbi Elezi
Software Developer | Computer Engineer | Instructor
Rating Distribution
- 1 stars: 15 votes
- 2 stars: 9 votes
- 3 stars: 40 votes
- 4 stars: 70 votes
- 5 stars: 78 votes
Frequently Asked Questions
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