Explanation
Dynamic programming, Dynamic programming is one of the most important and powerful algorithmic techniques that can be used to solve many mathematical problems, it is a fundamental technique to learn to strengthen your algorithms and problem solving skills. Many have a hard time understanding dynamic programming and being able to apply it to solve problems, if you are in this situation, this course is made for you!
Why you should take this course: It covers everything you need to know to start using dynamic programming to solve problems (introduction, repetition, how to identify a dynamic programming problem, reminders, training…) It shows you techniques to solve almost any dynamic programming problem, Explain the time and space complexity of each problem to be solved, Contains 20 different interesting dynamic programming problems to practice the ability to test the Python solution in different cases different test before viewing the solution.
What will you learn?
- The importance of an active program
- How to use the top-down method for dynamic programming (memory)
- How to use the bottom line in dynamic programming (tabulation)
- How to solve almost any dynamic programming problem
Who is this course for?
- computer science students
- Software engineering students
- Programs
- Competition programs
Dynamic programming features
- Publisher: Udemy
- Teacher: Inside the Code
- Language : English
- Level: Medium
- Number of courses: 49
- Duration : 6 hours and 4 minutes
Content of the activation program
Requirements
- the foundation of the program
- Algorithms and basic data structure
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
1.07 GB