Wolfram Demonstrations
Conceived by Mathematica creator and scientist Stephen Wolfram as a way to bring computational exploration to the widest possible audience, the Wolfram Demonstrations Project is an open-code resource that uses dynamic computation to illuminate concepts in science, technology, mathematics, art, finance, and a remarkable range of other fields. Its daily growing collection of interactive illustrations is created by Mathematica users from around the world who participate by contributing innovative Demonstrations. Interactive computational resources have typically been scattered across the web. Moreover, their creation requires specialized programming knowledge, making them difficult and expensive to develop. As a result, their breadth and reach are limited. With its debut in 2007, the Wolfram Demonstrations Project introduced a new paradigm for exploring ideas, providing a universal platform for interactive electronic publishing. The power to easily create interactive visualizations, once the province of computing experts alone, is now in the hands of every Mathematica user. More importantly, anyone around the world can freely use these thousands of fully functional Demonstrations. From elementary education to front-line research, topics span an ever-growing array of categories. Some Demonstrations can be used to enliven a classroom or visualize complex concepts, while others shed new light on cutting-edge ideas from academic and industrial workgroups. Each is reviewed and edited by experts for content, clarity, presentation, quality, and reliability.
Keywords for this software
References in zbMATH (referenced in 39 articles )
Showing results 1 to 20 of 39.
Sorted by year (- Alanazi, Abdulaziz M.; Munagi, Augustine O.; Nyirenda, Darlison: Power partitions and semi-(m)-Fibonacci partitions (2020)
- Cattiaux-Huillard, Isabelle; Saini, Laura: Characterization and extensive study of cubic and quintic algebraic trigonometric planar PH curves (2020)
- Girard, Didier A.: Asymptotic near-efficiency of the “Gibbs-energy (GE) and empirical-variance” estimating functions for fitting Matérn models. - II: accounting for measurement errors via “Conditional GE mean” (2020)
- Jungić, Damir; Jungić, Veselin: Dynamic visual models: ancient ideas and new technologies (2020)
- Moniri, Mojtaba; Moniri, Saman: Limit cycles and their period detection via numeric and symbolic hybrid computations (2020)
- Pratt, Kyle; Robles, Nicolas; Zaharescu, Alexandru; Zeindler, Dirk: More than five-twelfths of the zeros of (\zeta) are on the critical line (2020)
- Wagon, Stan: The bicycle paradox (2020)
- Ali, Mahvish; Khan, Subuhi: Extended forms of certain hybrid special polynomials related to Appell sequences (2019)
- Montero, Ana M.; Santos, Andrés: Triangle-well and ramp interactions in one-dimensional fluids: a fully analytic exact solution (2019)
- Artioli, M.; Dattoli, G.; Licciardi, S.; Pagnutti, S.: Motzkin numbers: an operational point of view (2018)
- Goodman-Strauss, Chaim: Lots of aperiodic sets of tiles (2018)
- Fantoni, Riccardo; Santos, Andrés: One-dimensional fluids with second nearest-neighbor interactions (2017)
- Jarnicki, Witold; Myrvold, Wendy; Saltzman, Peter; Wagon, Stan: Properties, proved and conjectured, of Keller, Mycielski, and queen graphs (2017)
- Pla-Porcel, Javier; Ventura-Marco, Manuel; Vidal-Meliá, Carlos: Converting retirement benefit into a life care annuity with graded benefits (2017)
- Ungureanu, Valeriu: Nash equilibrium set function in dyadic mixed-strategy games (2017)
- Ardentov, Andrey A.: Controlling of a mobile robot with a trailer and its nilpotent approximation (2016)
- Bolognesi, Tommaso; Lamb, Alexander: Simple indicators for Lorentzian causets (2016)
- Girard, Didier A.: Asymptotic near-efficiency of the “Gibbs-energy and empirical-variance” estimating functions for fitting Matérn models. I: Densely sampled processes (2016)
- Gokhale, Chaitanya S.; Hauert, Christoph: Eco-evolutionary dynamics of social dilemmas (2016)
- Joosten, Joost J.; Soler-Toscano, Fernando; Zenil, Hector: Fractal dimension versus process complexity (2016)