Algorithms and data structures in javascript
In this tutorial, we will learn about algorithms and data structures in javascript. The algorithms play a major role in developing the software in computer programming. Let’s understand what is an algorithm in computer language with an example
A process or set of rules to be followed in calculations or other problem-solving operations is an algorithm, these set of rules or instructions solve a class of problems.
Now let’s understand the terms related to algorithms and every algorithm must satisfy the following properties, and these properties can measure the effectiveness of the software. And an algorithm may associate with computational processes or processing information.
Input:
An algorithm should have a specified set of input
Output:
An algorithm must produce output as a result.
Finiteness:
An algorithm must terminate at a finite number of iteration
Definiteness:
All instruction set must be precisely defined
Effectiveness:
Each step of algorithms should complete an infinite set of times.
Let’s learn the top and most used algorithms with examples
Searches
- Linear Search
- Binary Search
Sorting
- Bubble Sort
- Quicksort
- Selection Sort
- Insertion Sort
- Heap Sort
- Merge Sort
Linked Lists
- Straight Traversal
- Reverse Traversal
Trees
- Depth-First Search (DFS)
- Breadth-First Search (BFS)
Why do we need data structures?
Well, now we have learned what are algorithms, when an algorithm is associated with computational processes or processing information, a piece of data can be read from an input source, written to an output device, and stored for further processing. Stored data are regarded as part of the internal state of the entity performing the algorithm. In practice, the state is stored in one or more data structures.
What are the data structures?
The data structure is a data management which enables the best way to store, access, retrieve, and modify the information in the computer memory. The memory in the computer has an address and can be accessed by pointers. In more words, the more efficient data structures help in designing more efficient algorithms.
Let’s learn the top and most used data structures with examples
- Arrays
- Stacks
- Queues
- Linked Lists
- Trees
- Hash Tables
- Heaps
- Graphs