Wolfram Screencast & Video Gallery

This page requires that JavaScript be enabled in your browser.
Learn how »

Hybrid Deterministic-Stochastic Modeling—Using Differential Equations and the Chemical Master Equation

Robert Nachbar explains how Mathematica and C were used to develop a hybrid deterministic-stochastic simulation engine based on differential equations and the chemical master equation. He highlights some interesting aspects of the implementation and demonstrates its use in this talk from the Wolfram Technology Conference.

Was this video helpful?

Channels: Technology Conference

SORT BY: Latest | A-Z
1311 videos match your search.
The New Decision
Process Toolkit28:51
Gerald Thomas
Promise of Mathematica in Operational Research24:46
William Lewis
Improved Data Analysis of Millikan Experiment using Mathematica17:41
David Smrcka & Jan Riha
Nuclear Angular Correlation: Evaluation of Experimental Data21:04
Pavla Sretrova, Vit Prochazka & Jan Riha
Chasing Class Transitions in Cellular Automata Rule Spaces23:46
Rodrigo A. Obando
Computational Conversations46:33
Marco Thiel & Diego Zviovich
Graphene Nanoribbons and the Experimentalist
who used Mathematica18:55
Peter Jacobse
A Model for Quantum
Cellular Automata13:03
Ruhi Shah
Advances in Visualization27:46
Brett Champion
Geo Visualization26:21
Emmanuel Garces
Complex-valued Visualization18:38
Nirmal Malapaka
New in Image and Audio Processing26:25
Shadi Ashnai
Computer Vision25:27
Giulio Alessandrini & Mikayel Egibyan
Color Sensing using Arduino and the Wolfram Language 27:35
Suba Thomas
Automated Labeling in Visualization24:17
Min Hsuan Peng
Teaching Computational Thinking through Colorimetry22:42
Flip Philips
Finance Data Feeds in Wolfram Finance Platform24:16
Fahim Chandurwala
CloudConnector for Excel26:50
Anthony Zupnik
Video Import/Export 29:39
Piotr Wendykier
Advances in the
Wolfram Compiler59:49
Tom Wickham Jones