Making Sense of Programming Algorithms Foundations

Robert Setiadi

ISBN 10: 0648963616 / ISBN 13: 9780648963615

Published by Robert Setiadi, 2023

About this Item

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 399.

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Bibliographic Details

• Title: Making Sense of Programming Algorithms Foundations
• Publisher: Robert Setiadi
• Publication Date: 2023
• Language: English
• ISBN 10: 0648963616
• ISBN 13: 9780648963615
• Binding: Paperback / softback
• Condition: New

About this title

Synopsis

Unleash the power of algorithms and transform your programming skills!

In today's tech-driven world, mastering algorithms is a brilliant way to boost your career, pick up a fun new hobby, and stay at the forefront of innovation. But where do you start if you are a complete beginner?

Making Sense of Programming Algorithms Foundations is a deeply practical handbook that empowers readers to unleash the power of algorithms with real-world examples and easy-to-digest lessons. Specially written by seasoned IT professional Robert Setiadi, PhD, this guide walks you through the fundamentals of algorithms, revealing how you can master the essentials of coding and become a problem-solving virtuoso.

Specially written with handy illustrations and pseudocodes that suit beginner and experienced programmers alike, this book reveals the secret to designing efficient algorithms for a diverse set of challenges. Readers will explore the world of divide and conquer technique, greedy algorithms, dynamic programming, search tree traversal, and many others.

Here is just a little of what you will discover inside:

• Abstract data types
• Divide and conquer, greedy algorithm, dynamic programming
• Huffman coding, search tree, branch and bound
• Big O complexity analysis
• Test coverage
• Topics beyond basic, including brief introduction to artificial intelligence
• and much more...

This book is a must-read for students, aspiring programmers, experienced software developers revisiting the basics, or anyone who wants to understand how algorithms work.