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SEARCHING FOR THE MAXIMUM ELEMENT IN A VECTOR USING BUILT-IN FUNCTION max() AND LOCATING THE MAXIMUM ELEMENT FROM THE VECTOR USING POPULAR SEARCHING TECHNIQUE LINEAR SEARCH METHODOLOGY FURTHER ANALYSING THE TIME COMPLEXITY OF THESE ALGORITHMS- A CASE STUD

📘 Volume 12 📄 Issue 3 📅 March 2026

👤 Authors

Kavish A M 1
1. Student, Computer Science, Sainik School Amaravathinagar

📄 Abstract

In Computer Science the most popular algorithms are searching and sorting algorithms. Finding a maximum element from the given vector is the most common application in any domain. To find a maximum element from the vector various strategies can be applied and various languages supports different built-in functions for the same operation. To find a maximum element in a language generally max() function is implemented, which can be invoked by importing modules in a particular script/ code, which will make easier for an programmer to implement. In contrast using linear search to find a maximum element in a vector needs deep understanding of an algorithm and implementation methodologies. This manuscript presents a comparative case study of the built-in function max() approach and the linear search method to find an element from the given vector. It analyzes their working principles, performance, computational complexity, and practical usability.

🏷️ Keywords

Vector Maximum Element Linear Search Built-in Function Python Algorithm Analysis Computational Efficiency Time Complexity Performance Evaluation

📚 How to Cite:

Kavish A M , SEARCHING FOR THE MAXIMUM ELEMENT IN A VECTOR USING BUILT-IN FUNCTION max() AND LOCATING THE MAXIMUM ELEMENT FROM THE VECTOR USING POPULAR SEARCHING TECHNIQUE LINEAR SEARCH METHODOLOGY FURTHER ANALYSING THE TIME COMPLEXITY OF THESE ALGORITHMS- A CASE STUD , Volume 12 , Issue 3, March 2026, EPRA International Journal of Multidisciplinary Research (IJMR) ,

🔗 PDF URL

https://cdn.epratrustpublishing.com/article/202603-01-026608.pdf

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