Computational mathematics in R Programming

Computational mathematics in R programming harnesses the power of R-s extensive libraries and tools to tackle complex numerical analysis, statistical computations, and data visualization tasks. This versatile programming language is widely adopted in a range of scientific and engineering disciplines for executing matrix operations, optimization techniques, and solving differential equations. Whether applied in data science, physics, economics, or engineering, R provides a robust platform for performing sophisticated mathematical computations, enabling researchers and professionals to analyze data efficiently, model real-world systems, and gain deeper insights from their work. Its user-friendly interface, combined with powerful computational capabilities, makes it an invaluable resource for anyone engaged in computational mathematics.

Dr. G. Arockia Sahaya Sheela is a distinguished academic and researcher with expertise in computational mathematics, data analytics, and software engineering. With a strong foundation in both teaching and research, she has contributed significantly to various fields, including machine learning, optimization techniques, and data mining.