Join Raghavendra Dixit for an in-depth discussion in this video Conclusion, part of Introduction to Data Structures & Algorithms in Java.
- [Instructor] Now we reach the end of this course.…By now you should be in position to solve problems…using algorithms that may run as computer programs.…You should understand some basic data structures…and algorithms that are commonly used…in day to day programming…and also be able to analyze them from the point of view…of how efficient certain algorithms are…when they run over data stored in certain structure.…With some practice, you will also be able to make…variations to the standard algorithms to suit your needs.…I suggest that you try out all the exercises and quizzes…so that things really sync in.…
It may also help if you discuss programming puzzles…and solve them in group, especially with friends,…thinking about if the solution you came up with is the best…or could it be better?…Or what additional information about the data…can be given, so that you're solution maybe improved upon,…all right?…So good luck.…
Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
- Why study data structures and algorithms?
- How to calculate the time complexity
- Using Big O notation
- Using basic sorting and search algorithms
- Searching elements in unordered arrays and ordered arrays
- Implementing a linked list in Java
- Implementing stacks using arrays
- Queues using arrays
- Binary search trees
- Representing heaps using arrays
Skill Level Intermediate
1. Introduction to Algorithms
2. Analysis of Algorithms
3. Basic Sorting and Search Algorithms
4. Linked Lists
5. Stacks and Queues
7. Binary Search Trees
8. More Sorting Algorithms
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