The following includes all the MATLAB scripts necessary for implementing the algorithm described in the attached paper.
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Updated
Nov 13, 2023 - MATLAB
The following includes all the MATLAB scripts necessary for implementing the algorithm described in the attached paper.
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
Collabration with Andrew. Model's coding for TNF regulation in LPS, CpG and PIC
Matlab code for Numerical Optimization class, 2015.
all matlab codes for electrical branch in B.tech
ELEVEN is a code for robust optimization and uncertainty quantification of an elevator brake system.
In this project, inverse problem was solved to find parameters of first derivative equation using numerical optimization methods. Matlab is used for coding.
Blockwise Direct Search
Numerical optimisation methods including the cauchy point, dogleg point, line search and steepest descent.
Collection of Matlab functions for numerical analysis. (Numerical Analysis MATLAB Functions)
Set of numeric optimization scripts, written in Matlab.
Find the best joint position, so that the system swing for the longest time under gravity with zero initial speed at given position. GA for optimization, 4th Adams form for numerical integration.
Lab-work done for the course Numerical Analysis and Scientific Computing Part-1 (MTH308B)
This repo contains implementations of several numerical methods in MATLAB.
Implementation of several local optimization methods
Code implemented and thesis on HodgeRank, Least-squares on graph problems
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Numerical Optimization using "hill climbing" (aka Gradient Ascent)
matlab based optimizer framework for Sequential Linear Programming (SLP) coupled with a global convergence filter
MatCUTEst is a package for facilitating the usage of CUTEst (https://github.com/ralna/CUTEst) in MATLAB on Linux.
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