A component of a new environment for the numerical solution of ordinary differential equations in Mathematica is outlined. We briefly describe how special purpose integration ...

We investigated an interpolation algorithm for computing the Moore–Penrose inverse of a given polynomial matrix, based on the Leverrier–Faddeev method. Also, a method for ...

We will be exploring how Mathematica can improve on (and ultimately replace) traditional methods of teaching first-year calculus. Mathematica becomes the tool not only for ...

In this paper, a new approach for defuzzification of generalized fuzzy numbers is established. This method uses the incentre point of a triangle where the three bisector ...

We establish bounds for the entropy of the Hard Core Model/Independent Sets on a few 2-d lattices. Our PCA-based sequential fill-in method yields an increasing sequence of ...

This is a Mathematica notebook I used at Wolfram Conference OSAKA. My talk was "Creative Mathematics Education Using Wolfram Language."This notebook was written in Japanese ...

Fluctuation analysis is a time-honored technique for estimating mutation rates. SALVADOR, a package written in a blend of the Mathematica and the C language, provides the ...

Quantitative skills are a prerequisite for anyone looking to work in the finance industry today. Within the industry, any risk professional who wants to collaborate with, or ...

Includes nearly 4,000 linear partial differential equations (PDEs) with solutions Presents solutions of numerous problems relevant to heat and mass transfer, wave theory, ...

Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python provides a unique, contemporary introduction to classical mechanics, with a focus on ...