Modeling of biochemical phenomena is based on formal reaction kinetics. This requires the translation of the original reaction systems into sets of differential equations ...

In recent decades a lot of research has been done on the numerical solution of the time-dependent Schrodinger equation. On the one hand, some of the proposed numerical ...

This book is a primer. A primer is not a textbook but this is a primer in textbook format. The first four parts have been written with students in mind. The fifth meta part ...

In this paper we present Affine.m—a program for computations in representation theory of finitedimensional and affine Lie algebras and describe implemented algorithms. The ...

BIOKMOD solves biokinetic and pharmacokinetic models using system of ordinary differential equations. The package is friendlier than used directly Mathematica functions ...

This work discusses an implementation of the computer program Mathematica for derivation of the generalized expression for the fugacity coefficients of compounds in a ...

In many real-world applications of optimization, the underlying descriptive system model is defined by computationally expensive functions: simulation modules, numerical ...

In this computational article, the improved results when different chaotic systems are synchronized using robust adaptive sliding mode controller (RASMC) has been presented ...

A "package" -- module of commented source code -- for the computer program Mathematica has been designed to reconstruct surfaces from curves, collected in parallel serial ...

machine learning framework (mlf) for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the purpose of data analysis. The ...