Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors.
The This study sought to establish the general applicability of Monte Carlo algorithm for matrices in solving systems of linear equations, determinants, inverse, Eigen values, and Eigen vectors. Linear algebra operations play an important role in scientific computing and data analysis. With increasi...
Saved in:
Main Author: | Bamwine, Delik |
---|---|
Format: | Thesis |
Language: | en_US |
Published: |
Kabale University
2024
|
Subjects: | |
Online Access: | http://hdl.handle.net/20.500.12493/1753 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on spectral representation and eigenexpansion based on eigen-operators
by: Hongyu WANG, et al.
Published: (2020-05-01) -
Variation Comparison of OLS and GLS Estimators using Monte Carlo Simulation of Linear Regression Model with Autoregressive Scheme
by: Sajid AliKhan, et al.
Published: (2021-02-01) -
APPLICATIONS OF MONTE CARLO SIMULATION TO STRUCTURAL ENGINEERING PROBLEMS
by: Abdullah Azbah
Published: (2024-12-01) -
Parallel Monte Carlo computations in SCore environment
by: Svajonė Vošterienė
Published: (2004-12-01) -
On polynomial EPr matrices
by: Ar. Meenakshi, et al.
Published: (1992-01-01)