This repository contains the python code associated with my Master Thesis titled "Evaluation and Feasibility Study of Analog Sensor Front-End using Impedance Spectroscopy for Biomedical Application"
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Updated
Oct 1, 2019 - Python
This repository contains the python code associated with my Master Thesis titled "Evaluation and Feasibility Study of Analog Sensor Front-End using Impedance Spectroscopy for Biomedical Application"
Course assignments for CL 663: IIT Bombay
R code implementing BFGS Quasi-Newton Minimization Method
Solves initial value problem of SIQRD equations. Optimizes coefficients of this pandemic model, so that simualtions match observed. Implements three IVP schemes and two gradient optimization methods with line search using Wolfe conditions.
Reimplementation of optimization algorithms.
R package for differential expression on count data with parameter bounds
Review of the Noisy Trust Region Method
An Interactive Quasi Newton Method visualization
IE 510 project
A interactive visualization of several optimization methods
Broyden-Fletcher-Goldfarb-Shanno optimization from the MALLET toolkit
Julia package implementing BFGS in various forms
Implementation of Gradient Type Optimization Algorithms
FireflyVina2LS was developed based on the framework of PSOVina2LS. For more information about Vina, please visit http:https://vina.scripps.edu.
Python implemntation of Conjugate Gradient method and Adam, and Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimizers from scratch.
Useful Optimization Algorithms
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