Free Download Recursion, Backtracking and Dynamic Programming in Java Udemy Course for free with Google Drive Download Link.
Algorithmic Problems in Java with Common Interview Questions (Recursion, Backtracking and Divide and Conquer Algorithms)
What you’ll learn
- Implement 15+ algorithmic problems from scratch
- Improve your problem solving skills and become a stronger developer
- Basic Java
This course is about the fundamental concepts of algorithmic problems focusing on recursion, backtracking, dynamic programming and divide and conquer approaches. As far as I am concerned, these techniques are very important nowadays, algorithms can be used (and have several applications) in several fields from software engineering to investment banking or R&D.
Section 1 – RECURSION
- what are recursion and recursive methods
- stack memory and heap memory overview
- what is stack overflow?
- Fibonacci numbers
- factorial function
- tower of Hanoi problem
Section 2 – SEARCH ALGORITHMS
- linear search approach
- binary search algorithm
Section 3 – SELECTION ALGORITHMS
- what are selection algorithms?
- how to find the k-th order statistics in O(N) linear running time?
- quickselect algorithm
- median of medians algorithm
- the secretary problem
Section 4 – BACKTRACKING
- what is backtracking?
- n-queens problem
- Hamiltonian cycle problem
- coloring problem
- knight’s tour problem
- Sudoku game
Section 5 – DYNAMIC PROGRAMMING
- what is dynamic programming?
- knapsack problem
- rod cutting problem
Who this course is for:
- This course is meant for newbies who are not familiar with algorithmic problems in the main or students looking for some refresher
- Anyone preparing for programming interviews or interested in improving their problem solving skills
Recursion, Backtracking and Dynamic Programming in Java Download Link:
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