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.

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, 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 C++. Through this course, not only will you improve your coding skills, but you will also gain confidence in tackling complex problems.

Mastering Algorithms for Problem Solving in C++

## Flood-fill problem using whatever-first search
One of the earliest modern examples of whatever-first search was proposed by Edward Moore in the mid-1950s. A **pixel map** is a two-dimensional array whose values represent colors; the individual entries in the array are called **pixels**, an abbreviation of picture elements. A **connected region** in a pixel map is a connected subset of pixels that all have the same color, where two pixels are considered adjacent if they are immediate horizontal or vertical neighbors. The **flood-fill operation**, commonly represented by a paint can in raster-graphics editing software, changes every pixel in a connected region to a new color; the input to the operation consists of the indices $i$ and $j$ of one pixel in the target region and the new color.

# Flood-fill problem using whatever-first search
One of the earliest modern examples of whatever-first search was proposed by Edward Moore in the mid-1950s. A **pixel map** is a two-dimensional array whose values represent colors; the individual entries in the array are called **pixels**, an abbreviation of picture elements. A **connected region** in a pixel map is a connected subset of pixels that all have the same color, where two pixels are considered adjacent if they are immediate horizontal or vertical neighbors. The **flood-fill operation**, commonly represented by a paint can in raster-graphics editing software, changes every pixel in a connected region to a new color; the input to the operation consists of the indices $i$ and $j$ of one pixel in the target region and the new color.

Learn about the flood-fill algorithm and its applications in graph algorithms.

Getting Started

Introduction to Algorithm

Recursion

Backtracking

Dynamic Programming

Greedy Algorithms

Prove Your Skills: A Five-Chapter Assessment

Basic Graph Algorithms

Depth-First Search

Minimum Spanning Trees

Shortest Paths

All-Pairs Shortest Paths

Pushing Your Limits: A Comprehensive Assessment

Wrapping up

Graph Reductions: Flood Fill

Flood-fill problem using whatever-first search