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
Numerical Methods in Fortran95
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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.
This is the MATLAB code and Python code written to solve Laplace Equation for 2D steady state heat-conduction equation using various FDM techniques.
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.
SC374 Computational and Numerical Methods : Weekly Assignments in python based on bisection, newton-raphson, secant, jacobi, gauss-seidel methods.
Assignments for MA209 Numerical Methods course at NITK Surathkal
Métodos numéricos con python(Numpy, matplotlib, pandas)
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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
Numerical methods for solving linear systems and non-linear equations
Python code for Numerical Analysis algorithms
Numerical Computing (CS Undergraduate course labs)
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
solving numerical problems with Python/Fortran
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