Numerical linear algebra solver using the Gauss–Seidel methodology written in OpenCL and documented using Doxygen
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Updated
May 4, 2017 - CSS
Numerical linear algebra solver using the Gauss–Seidel methodology written in OpenCL and documented using Doxygen
This repositary contains the MATLAB implementation of main numerical methods like Newton-Raphson, Simpson's integration and numerical ODE solver.
Solving systems of linear equations using numerical methods - python
System of linear equations solver using numerical analysis with simulation
Graphing and calculating numerical methods
Assignments for MA209 Numerical Methods course at NITK Surathkal
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Numerical solution using FDM to solve heat conduction problems by various iterative schemes in Python and C++
Códigos do Projeto PICME sobre resolução de sistemas lineares.
Gauss-Seidal-Method
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Paper on application of DTMC and code to implement gaussian techniques.
C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration
Different Numerical Methods' Algorithms like Bisection Method, Euler Method, etc
PageRank serial and parallel implementation
Fortran/Python linear algebra utilities
Solution of Fredholm integral equation of 2nd kind with midpoint rectangle interpolation & Gauss–Seidel method
A Python-based linear equation solver CLI application that allows a user to input a number of linear equations and choose any one of 4 numerical methods (Gaussian-elimination, LU decomposition, Gaussian-Jordan and Gauss-Seidel), along with their respective parameters, to solve the equations.
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