Wolfram founder Stephen Wolfram shares the background and vision of Mathematica, including the personal story of how it came to be and why it's in the right place to make profoundly powerful new things possible.
This presentation provides an introduction to the new GPU functionality in Mathematica 8. We will start by discussing what GPUs, CUDA, and OpenCL are, as well as the reasons for their rapid adoption in fields such as biology, finance, and image processing. Through a few examples, we will discuss the GPU concepts needed to program the GPU from within Mathematica, how to deploy your solution, and how to scale across GPUs and machines.
Explore the new suite of control system tools in Mathematica 8, used to do analysis, design, and simulation of continuous and discrete-time systems. Topics include the construction and manipulation of state space and transfer function models, system interconnections, frequency response plots, and controller design. Optimal control of an inverted pendulum, interactive pole-placement, and Bode plot manipulation are among the examples.
What are the advantages of Wolfram|Alpha integration? Based on the use of natural language to perform numerous computational tasks and data manipulations, it has a unique capability that no other system can provide. Methods of accessing Wolfram|Alpha from Mathematica will be discussed. You will learn how to process information returned by Wolfram|Alpha into formatted or raw data, computable code, or graphics. The presentation is suitable for novice and advanced users interested in academic, industrial, or recreational applications of Wolfram|Alpha integration.
Modeling and analysis just got easier with the largest collection of parametric and nonparametric distributions under one roof, supporting new high-level functions for probability and statistics. Presentation topics include automated probability and statistics superfunctions, streamlined processes for parameter estimation and goodness-of-fit testing, working with built-in distributions or creating your own from data or other distributions, and new statistical visualization functionality.
Graphs and networks have attracted enormous interest in the last few years, helping to design communication networks, improve airline routes, model the Internet, and analyze social interactions among people. This presentation offers a comprehensive look at the new graphs and networks features in Mathematica.