Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Divide and Conquer Algorithms for Multi-dimensional Problems

Divide and Conquer Algorithms for Multi-dimensional Problems

Qochuk, Benjamin
Drishya, K. Sai
Chatterjee, Aditya

Paperback

Series: Advanced Data Structures & Algorithms, Book 2

General Computers

ISBN13: 9798653992537
Publisher: Independently Published
Published: Jun 14 2020
Pages: 64
Weight: 0.38
Height: 0.13 Width: 8.50 Depth: 11.00
Language: English
This book Divide and Conquer Algorithms for Multi-dimensional Problems not only present algorithms and analysis of advanced real-life problems but also prepares you to have a deep understanding of how these algorithms were originally designed and an ability to solve some of the most insightful algorithmic problems.

This is a must read if you want to dive deeper into understanding Algorithms and its advanced applications.

Multidimensional divide and conquer is an algorithmic technique that can be used to develop several algorithms and data structures for multi-dimensional problems. It is an extension of Divide and Conquer algorithms.

The basic idea of Divide and Conquer is to divide the problem into smaller problems, solve the smaller problems and use the answers from the smaller problems to get the answer to the larger problem.

Merge Sort is a popular algorithm that applies Divide and Conquer to sort 1-dimensional data.

Extending such algorithms for Multi-dimensional data is not simple but it is an interesting approach that which nurture your thinking process and is more widely used as it reflects real-life problems.

This is important as most real-life problems are multi-dimensional like:

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