Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.
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Updated
Aug 14, 2023 - MATLAB
Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.
Numerical analysis
Functions for numerical analysis methods - Bisection, False-Position, Newton-Raphson, Secant Method, Brent's Method
Matlab implementations of approximation of solutions to nonlinear functions
Several exercises in MATLAB
Root finder using numerical analysis with simulation and plotting
The project involves using Matlab to analyze non-linear equations. The aim is to gain a deeper understanding of the equations by using computer-aided numerical analysis and visualizing the results through graphs and charts.
Secant method for finding the root of a univariate, scalar-valued function.
Project akhir praktikum metode numerik untuk membuat program algoritma newton-rapson, riemann, secant, dan trapezoida dengan menggunakan Matlab.
Algorithms for numerical methods : 1.GRAPHICAL APPROACH, 2.BISECTION METHOD, 3.FALSE POSITION METHOD, 4.SIMPLE FIXED ITERATION, 5.NEWTON-RAPSHSON METHOD, 6.SECANT METHOD, 7.MODIFIDED SECANT METHOD
Find functions' zeros using Bisection, Fixed Point, Newton, Secants Methods
I would like to showcase the group projects that were completed by my friends and myself as part of our numerical analysis course.
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
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