Solving Systems of Linear Algebraic Equations Using the Monte Carlo Method

Authors

  • Mohammad Asghar Anwari Assistant Professor, Department of Mathematic Education, Faculty of Balkh University, AFGHANISTAN.
  • Ahmad Ramin Rahnawadr Assistant Professor, Department of General Mathematic, Faculty of Mathematic, Kabul University, AFGHANISTAN.

DOI:

https://doi.org/10.55544/jrasb.3.6.12

Keywords:

Linear Algebraic Equations, Mathematical Hope, Linear equation system, Random variable, Eigenvalues and eigenvectors of each matrix

Abstract

Mathematics is a vast science that has developed in different parts according to human needs and at different times to solve human problems since its inception. The branches of mathematics can be considered as an independent field due to their complexity. Numerical calculations or numerical analysis, in turn, can be found in different parts due to the calculations of equations that do not have real solutions. It can find their numerical solutions.

Numerical analysis can be used in various areas such as power calculations, logarithms, limit calculations, numerical derivatives of functions, numerical integrals, etc. mathematical calculations. In this regard, mathematicians have conducted research in various areas and after a period of time have reached a solution to the problem at hand and have left a mark in the form of various relations, formulas, and theorems, each of which has created convenience for the reader. One of these methods that can easily solve equations is solving a system of linear equations using the Monte Carlo method. Basically, this method, with its complexity, considering probabilistic calculations and obtaining the prices of a system and using mathematical hope, can easily solve a system of linear algebraic equations.

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References

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Published

2024-12-28

How to Cite

Anwari, M. A., & Rahnawadr, A. R. (2024). Solving Systems of Linear Algebraic Equations Using the Monte Carlo Method. Journal for Research in Applied Sciences and Biotechnology, 3(6), 88–93. https://doi.org/10.55544/jrasb.3.6.12