Udemy – Time and space complexity analysis (big-O notation) 2021-3

Description

Time and space complexity analysis (big-O notation) is a training course on analysis and estimation of temporal and spatial complexity of algorithms with a large O symbol, published by Udemy Academy. Algorithm time and space complexity analysis is one of the most valuable and money-making skills in the field of computer science and programming, which has attracted the attention of many engineers and programmers. The topics presented in this course are divided into two areas: theoretical and practical. In the theory section with all the topics in the field of algorithm analysis such as notations, input cases, amortized complexity analysis, complexity analysis of various information structures, analysis of the amount of resources required to implement algorithms and .. Get to know them and get an overview of them.

During the course, the instructor will introduce you to external resources and refer you to books and other available teaching tools if needed. Practice and testing is one of the most important parts of this training course that can have a great impact on your learning process.

Topics presented in this course:

• Basic concepts of algorithm complexity analysis
• Familiarity with the symbols of Big O, big omega and big theta
• Introducing different scenarios when receiving data and types of excellent, average and bad scenarios
• Complexities hierarchy
• Complexity class and its different types such as P and NP
• Different methods of temporal and spatial complexity analysis of an algorithm
• Different methods for comparing the performance of an algorithm
• Amortized complexity analysis
• Analysis of the complexity of search algorithms
• Analysis of the complexity of sorting algorithms
• Analysis of the complexity of recursive functions
• Analysis of the complexity of the main operators and operators of the data structure
• Common problems and misconceptions of beginners
• Familiarity with frequently asked questions and issues in job interviews

What you will learn in Time and space complexity analysis (big-O notation)

• Time and space complexity analysis of different algorithms
• Comparison of different algorithms
• Analysis of data search and sorting algorithms
• Different methods of comparing and examining algorithms
• Familiarity with the complexity of data structures and major operators

Course specifications

Publisher: Udemy
Instructors: Inside Code
Language: English
Level: Beginner
Number of Lessons: 57
Duration: 7 hours and 35 minutes

Course topics

Time and space complexity analysis (big-O notation) Prerequisites

Basic programming knowledge

Pictures

Time and space complexity analysis (big-O notation) introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

download link

Download Part 1 – 1 GB

Download Part 2 – 553 MB

File password (s): www.abc.com

Size

1.55 GB