Ace the technical interview: Graph algorithms
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Ace the technical interview: Graph algorithms

About the Book

You have an interview coming up. You have tried solving some hard problems but you feel stuck. It not only feels impossible to understand the solution but also hard to conjure up solutions yourself. How do you model a problem as a graph? How do you arrive at Bellman Ford's? This book was written with those struggles in mind.

I wrote this book along with other courses in the Ace the technical interview series to give you a road map to effectively prepare for interviews. It covers different categories of graph problems extensively, detailing step by step why and how design choices were made. On completing it, you should feel confident to tackle any interview problem. Whether you are you are looking for extensive tutorials or quick revision material, this book is for you.

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  • Categories

    • Computers and Programming
    • Algorithm
    • Java
    • Software
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About the Author

Imaculate Mosha
Imaculate Mosha

I’m a Software Engineer by day and a storyteller at heart. I have 7 years experience engineering Software at Amazon, Microsoft and Google  where I have left my footprint on the AWS Console, Microsoft Word and Google Cloud. In my spare time, I write both technical and non technical content. I have published Leanpub courses on Algorithms and Data Structures and contributed to publications such as draft.dev and dev.to. I write non technical articles on my blog. I absolutely love solving problems, all the way from mysterious beginnings to the Eureka moment. Its a transformative process that I like to share through writing. Whether you are preparing for your next interview or simply reading from curiousity I hope my writing speaks to you.

Table of Contents

    • Preface
    • Introduction
      • A. Depth First Search (DFS)
      • B. Breadth First Search (BFS)
      • C. Best first search (BeFS)
      • D. Dijkstra’s algorithm
      • E. Bellman Ford Algorithm
      • F. Disjoint sets and Union Find algorithm
      • G. Minimum Spanning Tree (MST)
      • H. Topological sort
      • I. Floyd-Warshall Algorithm
      • J. Maximum flow
    • Epilogue
      • Bonus Questions

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