Mastering Algorithms for Problem Solving in C++
Gain insights into essential algorithms, delve into recursion, backtracking, and graph theory, and enhance your problem-solving skills in C++ to confidently tackle complex challenges.
Intermediate
96 Lessons
28h
Certificate of Completion
Gain insights into essential algorithms, delve into recursion, backtracking, and graph theory, and enhance your problem-solving skills in C++ to confidently tackle complex challenges.
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Course Overview
What You'll Learn
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Course Overview
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 C++.
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,...Show More
As a developer, mastering the concepts of algorithms and being proficient in implementing them is essential to improving problem...Show More
What You'll Learn
A comprehensive understanding of algorithms and their applications in problem solving
Proficiency in implementing recursion and backtracking for complex tasks in C++
An understanding of applying memoization and dynamic programming concepts for efficient computation
Hands-on experience solving algorithmic challenges in C++
A comprehensive understanding of algorithms and their applications in problem solving
Show more
Course Content
1.
Getting Started
1 Lessons
Get familiar with algorithms, data structures, and problem-solving techniques in C++.
2.
Introduction to Algorithm
6 Lessons
Look at fundamental concepts of algorithms, their historical development, design, and analysis.
3.
Recursion
13 Lessons
Break apart core recursion concepts with merge-sort, quick-sort, and efficient algorithms.
4.
Backtracking
10 Lessons
Grasp the fundamentals of backtracking and its applications in problem-solving using C++.
5.
Dynamic Programming
11 Lessons
Map out the steps for solving complex problems using dynamic programming techniques.
Fibonacci Numbers—Recursive ApproachFibonacci Numbers—Iterative ApproachText SegmentationLongest Increasing SubsequenceEdit DistanceSubset Sum-Dynamic ProgrammingOptimal Binary Search Trees-Dynamic ProgrammingDynamic Programming on TreesChallenge: Dynamic ProgrammingSolution: Dynamic ProgrammingQuiz: Dynamic Programming
6.
Greedy Algorithms
7 Lessons
Focus on greedy algorithms to optimize file storage, scheduling, encoding, matching, and book arrangement.
8.
Basic Graph Algorithms
9 Lessons
Master algorithms to traverse, represent, and solve problems using diverse graph structures.
9.
Depth-First Search
11 Lessons
Get familiar with depth-first search, including traversal, cycle detection, and strong connectivity in graphs.
10.
Minimum Spanning Trees
8 Lessons
Get started with algorithms for constructing and updating minimum spanning trees in graphs.
11.
Shortest Paths
10 Lessons
Examine shortest path algorithms in weighted graphs, including BFS, DFS, Dijkstra’s, and Bellman-Ford.
12.
All-Pairs Shortest Paths
9 Lessons
Enhance your skills in computing all-pairs shortest paths using various algorithms and techniques.
14.
Wrapping up
1 Lessons
Dig deeper into the practical applications of algorithms and encourage continued learning.
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