blog
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Updated
Feb 10, 2017
blog
Generic implementations of numerical optimization methods. As of now, only cross-entropy method is here.
The following includes all the MATLAB scripts necessary for implementing the algorithm described in the attached paper.
Daniel's Math Library
I decided to upload all the code I've been writing for my bachelor thesis to have it accessible from anywhere and stored somewere safe.
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
Example coronavirus cases forecasts and ODE-based simulations of infection spread
Parallel-fibre to Purkinje cell plasticity simulator. Multiple optimisation functions incorporated to fit model to experimental data.
Implementation of different numerical optimization methods in Python
Project page of VerHem FEM 18 componnets GL eqns solver project
Collabration with Andrew. Model's coding for TNF regulation in LPS, CpG and PIC
Implementation of iterative techniques to solve linear & non-linear systems.
Six projects exploring numerical methods in the solution of systems of linear and differential equations.
My personal notes for learning math
A small utility project in Python whose purpose is to evaluate the global minimum of a given function, using a black box approach. Therefore there's no need to provide the analytic form, an actual implementation of the function is enough. Hypothesis: the given function satisfies the Lipschitz criterion, and an overextimation of L is given in input.
Renan's personal page
Implementations of various numerical optimization methods, written in plain Java.
Implementation of the interior points method applied to the LASSO problem.
Numerical design of microelectronic structures.
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