An Illustrative Introduction to Algorithms [NulledPremium]

  • Category Other
  • Type E-Books
  • Language English
  • Total size 51.0 MB
  • Uploaded By SunRiseZone
  • Downloads 583
  • Last checked 3 weeks ago
  • Date uploaded 6 years ago
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Book details
Paperback: 331 pages
Format: epub
Size: 50 MB
Publisher: Independently published (August 16, 2019)
Language: English
ISBN-10: 1686863268
ISBN-13: 978-1686863264

This book was written to fill the gap that exists when Computer Science students, and programmers, attempt to learn and analyze the different algorithms that currently exist.

I took a course on Algorithms and was disappointed in the type of material thatโ€™s currently available.

There are two types of books that I kept running into:

1). First, the overly complex book. This book seems like itโ€™s designed for people that are already fluent in the topics and wanted a more detailed and mathematical approach to algorithms.

2). Second, the overly simple book. A basic introduction to algorithms. This is a high-level overview of some algorithms, and most complex algorithms are not mentioned. After completion, the person is still incapable of showing how the algorithm runs when a problem is presented.

This book is designed for undergraduate upper-class students and programmers that want to expand their horizon. It can be used as a supplementary book alongside the complex book. Readers will gain the knowledge necessary to solve those mathematically intensive algorithmic problems that were presented in the complex book.Each chapter consists of a brief description of how the algorithm works followed by a detailed example or two. No steps are skipped during the traversal process.

The reader is presented with a clear, simplified approach to solving the algorithm that the chapter is dedicated to. Each chapter follows a natural progression from the previous chapter. If certain algorithms rely heavily on prior knowledge, the previous chapter covers that topic. For example, Kruskalโ€™s algorithm relies heavily on prior knowledge of Minimum Spanning Trees and Greedy Algorithms. Each of those topics receives a chapter of its own.

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