
Mastering Complexity
DSA Shots
Are you ready to unlock the secrets of complexity theory and become a master problem solver? Look no further than "Mastering Complexity"! This comprehensive guide covers everything you need to know about Big O complexity and how to solve difficult algorithms and data structures (DSA) problems. With detailed explanations, practical examples, and interactive exercises, you'll be able to tackle even the toughest challenges in no time.
In this book, we'll start by delving into the basics of Big O complexity and how it impacts problem solving. You'll learn about the different types of complexity measures, such as time, space, and probability, and how to analyze them in a systematic way. We'll then dive into the various data structures and algorithms commonly used in DSA problems, including arrays, linked lists, trees, graphs, and more.
But "Mastering Complexity" is more than just a dry reference guide. We'll also provide practical tips and tricks for solving DSA problems, as well as real-world examples to illustrate how these concepts are used in industry. By the end of the book, you'll be able to approach any problem with confidence, knowing that you have the tools and techniques necessary to solve it.
Whether you're a student looking to improve your understanding of algorithms and data structures or a professional looking to enhance your problem-solving skills, "Mastering Complexity" is the perfect resource for you. So why wait? Dive in and start mastering complexity today!
Duration - 2h 22m.
Author - DSA Shots.
Narrator - H. Green.
Published Date - Monday, 08 January 2024.
Copyright - © 2023 DSA Shots ©.
Location:
United States
Description:
Are you ready to unlock the secrets of complexity theory and become a master problem solver? Look no further than "Mastering Complexity"! This comprehensive guide covers everything you need to know about Big O complexity and how to solve difficult algorithms and data structures (DSA) problems. With detailed explanations, practical examples, and interactive exercises, you'll be able to tackle even the toughest challenges in no time. In this book, we'll start by delving into the basics of Big O complexity and how it impacts problem solving. You'll learn about the different types of complexity measures, such as time, space, and probability, and how to analyze them in a systematic way. We'll then dive into the various data structures and algorithms commonly used in DSA problems, including arrays, linked lists, trees, graphs, and more. But "Mastering Complexity" is more than just a dry reference guide. We'll also provide practical tips and tricks for solving DSA problems, as well as real-world examples to illustrate how these concepts are used in industry. By the end of the book, you'll be able to approach any problem with confidence, knowing that you have the tools and techniques necessary to solve it. Whether you're a student looking to improve your understanding of algorithms and data structures or a professional looking to enhance your problem-solving skills, "Mastering Complexity" is the perfect resource for you. So why wait? Dive in and start mastering complexity today! Duration - 2h 22m. Author - DSA Shots. Narrator - H. Green. Published Date - Monday, 08 January 2024. Copyright - © 2023 DSA Shots ©.
Language:
English
Opening Credits
Duración:00:01:44
Preface
Duración:00:03:47
Evolution of complexity in computer science
Duración:00:06:19
What is complexity?
Duración:00:03:49
Defining big O
Duración:00:05:01
Real world analogies
Duración:00:05:09
Best case, worst case, and expected case
Duración:00:07:05
Big O notation of popular DSA
Duración:00:04:54
Drop the constants
Duración:00:02:14
Drop non dominant terms
Duración:00:02:46
Add & multiply runtimes
Duración:00:03:14
Amortized time
Duración:00:05:34
log(n) runtimes
Duración:00:03:14
Recursive runtimes
Duración:00:04:02
Can we programmatically find complexity of code ?
Duración:00:02:31
DSA examples & their complexity analysis
Duración:00:32:34
Pratice exercise
Duración:00:33:25
Glossary
Duración:00:04:27
Bibliography
Duración:00:08:42
Ending Credits
Duración:00:01:44