Basics of Algorithm

Hi everyone, inside this article we will see the concept about Basics of Algorithm.

An algorithm is a step-by-step procedure used to solve a problem or perform a specific task. In data structures, algorithms are used to manipulate and organize data in efficient ways.

Characteristics of an Algorithm

In data structure and algorithms, an algorithm can be defined as a set of instructions or rules that provide a step-by-step approach to solve a particular problem or perform a specific task. The following are the characteristics of an algorithm:

  1. Unambiguous: An algorithm should be clear and precise, with unambiguous instructions that leave no room for interpretation. The instructions should be well-defined and easy to understand.
  2. Well-defined inputs and outputs: An algorithm should take well-defined inputs and produce well-defined outputs. The inputs and outputs should be clearly specified, and the algorithm should be designed to handle any valid input.
  3. Finiteness: An algorithm should have a finite number of steps, meaning that it should eventually terminate after a finite number of iterations.
  4. Deterministic: An algorithm should be deterministic, meaning that given the same input, it should produce the same output every time it is executed. It should not have any random or unpredictable behavior.
  5. Feasibility: An algorithm should be feasible, meaning that it should be possible to execute it in a reasonable amount of time and with a reasonable amount of memory.
  6. Language-independent: An algorithm should be independent of any particular programming language or implementation. It should be possible to describe the algorithm in a natural language or pseudocode that can be translated into any programming language.
  7. Correctness: An algorithm should produce the correct output for all valid inputs. It should be verified and tested to ensure that it produces the expected results under all conditions.

Overall, an algorithm should provide a systematic and structured approach to solving a problem or performing a task, with clear inputs and outputs, unambiguous instructions, and a finite number of steps.

Categories of Algorithms

There are various types of algorithms that are commonly used in data structures, including:

Searching Algorithms: These algorithms are used to find a particular element within a data structure. The most commonly used searching algorithms include Linear Search, Binary Search, and Interpolation Search.

Sorting Algorithms: These algorithms are used to arrange data in a specific order. The most commonly used sorting algorithms include Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, and Heap Sort.

Hashing Algorithms: These algorithms are used to store and retrieve data in constant time. The most commonly used hashing algorithms include Direct Addressing, Linear Probing, and Quadratic Probing.

Tree Algorithms: These algorithms are used to perform various operations on tree data structures. The most commonly used tree algorithms include Traversal, Insertion, Deletion, and Searching.

Graph Algorithms: These algorithms are used to manipulate and traverse graph data structures. The most commonly used graph algorithms include Depth-First Search, Breadth-First Search, Dijkstra’s Algorithm, and Prim’s Algorithm.

Divide and Conquer Algorithms: These algorithms are used to solve complex problems by dividing them into smaller sub-problems and solving them independently. Examples of divide and conquer algorithms include Merge Sort and Quick Sort.

Dynamic Programming Algorithms: These algorithms are used to solve problems by breaking them down into smaller sub-problems and reusing solutions to those sub-problems to solve the larger problem. Examples of dynamic programming algorithms include the Fibonacci Series and the Knapsack Problem.

These are just a few examples of the types of algorithms used in data structures. There are many other algorithms that can be used to perform various operations on different types of data structures. It’s important to choose the right algorithm for a specific problem to ensure that it runs efficiently and produces accurate results.

We hope this article helped you to understand about Basics of Algorithm in a very detailed way.

Online Web Tutor invites you to try Skillshike! Learn CakePHP, Laravel, CodeIgniter, Node Js, MySQL, Authentication, RESTful Web Services, etc into a depth level. Master the Coding Skills to Become an Expert in PHP Web Development. So, Search your favourite course and enroll now.

If you liked this article, then please subscribe to our YouTube Channel for PHP & it’s framework, WordPress, Node Js video tutorials. You can also find us on Twitter and Facebook.