Computational Mathematics-impact-factor

 Arithmetic includes a set of mathematical processes that include the sense of number, the understanding of mathematical principles such as associative and commutative properties, and computational abilities. The computational skills are defined as the reliability to quickly and accurately calculate basic addition , subtraction , multiplication, and division problems using mental methods, paper-and - pencil and other tools, such as a calculator. It involves selecting the correct arithmetic procedure. The computational skills also require the steps to be executed to calculate the solution. The term computational fluidity extends the definition to cover the flexible use of calculation. Computational mathematics involves mathematical research in science and engineering fields where computing plays a central and vital role. Topics include, for example, designing detailed and effective numerical methods for solving physical or biological problems, testing numerical approximations of differential and integral equations, creating analytical techniques to better grasp data and form, etc. Computational mathematics is a field closely linked to a variety of other mathematical branches, as innovative numerical techniques often result in a better mathematical understanding of the problem. Numerical analysis, machine learning, computational topology, and algebraic geometry algorithms. Our faculty's computational mathematics thesis has applications in data interpretation and signal processing, fluid and strong dynamics, the principle of electrical systems, biological networks and many other topics.  

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