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Introduction to Algorithms
Introduction to Algorithms

Introduction to Algorithms: A Comprehensive Guide for Beginners: Unlocking Computational Thinking

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Profile Icon Cuantum Technologies LLC
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€25.99
eBook Jun 2024 294 pages 1st Edition
eBook
€25.99
Arrow left icon
Profile Icon Cuantum Technologies LLC
Arrow right icon
€25.99
eBook Jun 2024 294 pages 1st Edition
eBook
€25.99
eBook
€25.99

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Key benefits

  • Basics to advanced algorithm design and applications, along with real-world applications
  • Engaging exercises & case studies from the latest industry trends & practices for reinforcement
  • Clear, step-by-step instructions for complex and advanced topics

Description

Begin your journey into the fascinating world of algorithms with this comprehensive course. Starting with an introduction to the basics, you will learn about pseudocode and flowcharts, the fundamental tools for representing algorithms. As you progress, you'll delve into the efficiency of algorithms, understanding how to evaluate and optimize them for better performance. The course will also cover various basic algorithm types, providing a solid foundation for further exploration. You will explore specific categories of algorithms, including search and sort algorithms, which are crucial for managing and retrieving data efficiently. You will also learn about graph algorithms, which are essential for solving problems related to networks and relationships. Additionally, the course will introduce you to the data structures commonly used in algorithms. Towards the end, the focus shifts to algorithm design techniques and their real-world applications. You will discover various strategies for creating efficient and effective algorithms and see how these techniques are applied in real-world scenarios. By the end of the course, you will have a thorough understanding of algorithmic principles and be equipped with the skills to apply them in your technical career.

Who is this book for?

This course is designed for a wide range of learners, including technical professionals looking to enhance their algorithmic knowledge, computer science students seeking a deeper understanding of algorithm principles, and software developers aiming to improve their coding efficiency. Additionally, it is suitable for data scientists and analysts who need to apply algorithms to data management and analysis tasks, educators looking for comprehensive teaching material on algorithms, and hobbyists interested in expanding their technical skill set.

What you will learn

  • Understand the basics of algorithms and their significance
  • Evaluate the efficiency of different algorithms
  • Apply various types of algorithms to solve complex problems
  • Utilize graph algorithms for network-related issues
  • Implement appropriate data structures for algorithm optimization
  • Design efficient algorithms for real-world applications

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 14, 2024
Length: 294 pages
Edition : 1st
Language : English
ISBN-13 : 9781836203865
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What do you get with eBook?

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Product Details

Publication date : Jun 14, 2024
Length: 294 pages
Edition : 1st
Language : English
ISBN-13 : 9781836203865
Category :
Languages :
Tools :

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Table of Contents

13 Chapters
Chapter 1: Introduction to Algorithms Chevron down icon Chevron up icon
Chapter 2: Pseudocode and Flowcharts Chevron down icon Chevron up icon
Chapter 3: Algorithm Efficiency Chevron down icon Chevron up icon
Chapter 4: Basic Algorithm Types Chevron down icon Chevron up icon
Chapter 5: Search Algorithms Chevron down icon Chevron up icon
Chapter 6: Sort Algorithms Chevron down icon Chevron up icon
Chapter 7: Graph Algorithms Chevron down icon Chevron up icon
Chapter 8: Data Structures Used in Algorithms Chevron down icon Chevron up icon
Chapter 9: Algorithm Design Techniques Chevron down icon Chevron up icon
Chapter 10: Real World Applications of Algorithms Chevron down icon Chevron up icon
Conclusion Chevron down icon Chevron up icon
Where to continue? Chevron down icon Chevron up icon
Know more about us Chevron down icon Chevron up icon
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