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Mastering Algorithms for Problem Solving in Java
Gain insights into essential algorithms for effective problem-solving in Java. Delve into recursion, dynamic programming, and graph algorithms to enhance your coding.
4.7
96 Lessons
28h
Updated 2 months ago
Also available in
Also available in
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- A comprehensive understanding of algorithms and their applications in problem-solving
- Proficiency in implementing recursion and backtracking in Java for complex tasks in Java
- Understanding and applying the concepts of memoization and dynamic programming for efficient computation
- Hands-on experience solving algorithmic challenges in Java
Learning Roadmap
2.
Introduction to Algorithm
Introduction to Algorithm
Look at the fundamentals of algorithms, their historical evolution, and efficiency analysis.
3.
Recursion
Recursion
13 Lessons
13 Lessons
Master the steps to effective recursion, including reduction, sorting, and element selection techniques.
4.
Backtracking
Backtracking
10 Lessons
10 Lessons
Enhance your skills in solving complex problems with recursive backtracking algorithms.
5.
Dynamic Programming
Dynamic Programming
11 Lessons
11 Lessons
Take a closer look at dynamic programming principles to solve complex problems efficiently.
6.
Greedy Algorithms
Greedy Algorithms
7 Lessons
7 Lessons
Follow the process of using greedy algorithms for optimal file storage, class scheduling, and encoding.
7.
Basic Graph Algorithms
Basic Graph Algorithms
9 Lessons
9 Lessons
Master the steps to understand, represent, search, and modify graphs, including practical Java applications.
8.
Depth-First Search
Depth-First Search
11 Lessons
11 Lessons
Learn how to use depth-first search for graph traversal, cycle detection, and connectivity.
9.
Minimum Spanning Trees
Minimum Spanning Trees
8 Lessons
8 Lessons
Grasp the fundamentals of minimum spanning trees, key algorithms, and their efficiency.
10.
Shortest Paths
Shortest Paths
10 Lessons
10 Lessons
Go hands-on with finding shortest paths in graphs using various algorithms.
11.
All-Pairs Shortest Paths
All-Pairs Shortest Paths
9 Lessons
9 Lessons
Grasp the fundamentals of algorithms to solve all-pairs shortest paths and handle negative cycles.
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Developed by MAANG Engineers
ABOUT THIS COURSE
As a developer, mastering the concepts of algorithms and being proficient in implementing them is essential to improving problem-solving skills. This course aims to equip you with an in-depth understanding of algorithms and how they can be utilized for problem solving in Java.
Starting with the basics, you'll gain a foundational understanding of what algorithms are, with topics ranging from simple multiplication algorithms to analyzing algorithms. Then, you’ll delve into more advanced topics like recursion, backtracking, dynamic programming, and greedy algorithms. You'll also learn about basic graph algorithms, depth-first search, shortest paths, minimum spanning trees, and all-pairs shortest paths.
By the end of this course, you'll have acquired a wide range of skills that will significantly enhance your ability to solve problems efficiently in Java. Through this course, not only will you improve your coding skills, but you will also gain confidence in tackling complex problems.
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