Recursion, Backtracking and Dynamic Programming in Java

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Recursion, Backtracking and Dynamic Programming in Java provided by Udemy is a comprehensive online course, which lasts for 15 hours worth of material. Recursion, Backtracking and Dynamic Programming in Java is taught by Holczer Balazs. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Overview
  • Competitive Programming with Common Interview Questions (Recursion, Backtracking and Divide and Conquer Algorithms)

    What you'll learn:

    • Understand recursive approaches
    • Understand backtracking
    • Understand dynamic programming
    • Understand divide and conquer methods
    • Implement 15+ algorithmic problems from scratch
    • Improve your problem solving skills and become a stronger developer

    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 - SEARCHALGORITHMS

    • linear search approach

    • binary search algorithm

    Section 3 - SELECTIONALGORITHMS

    • 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 - BITMANIPULATION PROBLEMS

    • binary numbers

    • logical operators and shift operators

    • checking even and odd numbers

    • bit length problem

    • Russian peasant multiplication

    Section 5 - BACKTRACKING

    • what is backtracking?

    • n-queens problem

    • Hamiltonian cycle problem

    • coloring problem

    • knight's tour problem

    • Sudoku game

    Section 6 - DYNAMICPROGRAMMING

    • what is dynamic programming?

    • knapsack problem

    • rod cutting problem

    • subset sum problem

    • Kadan's algorithm (maximum subarray)

    • longest common subsequence (LCS) problem

    Section 7 - OPTIMALPACKING

    • what is optimal packing?

    • bin packing problem

    Section 8 - DIVIDEANDCONQUERAPPROACHES

    • what is the divide and conquer approach?

    • dynamic programming and divide and conquer method

    • how to achieve sorting in O(NlogN) with merge sort?

    • the closest pair of points problem

    Section 9 - COMMONINTERVIEWQUESTIONS

    • top interview questions (Google, Facebook and Amazon)

    • anagram problem

    • palindrome problem

    • trapping rain water problem

    • egg dropping problem

    • dutch national flag problem

    In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together from scratch in Java.

    Finally,YOUCANLEARNABOUTTHEMOSTCOMMONINTERVIEWQUESTIONS (Google, Microsoft, Amazon etc.)

    Thanks for joining the course, let's get started!