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Financial Computation in MathematicaPart 1

A Wolfram Research developer who worked on financial computation functionality in Mathematica 8 gives an overview of some of the features at the Wolfram Technology Conference 2010. This is part 1 of the 2-part video series.

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Channels: Technology Conference

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483 videos match your search.
Jan Poeschko
Jan Poeschko
John McGee
Yves Klett
In this talk from the Wolfram Technology Conference 2011, Yves Klett from the Institute of Aircraft Design & University of Stuttgart, Germany, shares a few mechanical engineering examples that make good use ...
Frantisek Latal
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Keita Sumiya
This talk covers how Mathematica is used to explore the periodic orbit theory in the Anisotropic Kepler Problem and Devil's Staircase surface faceting.
Giulio Alessandrini
Matthias Odisio
Ulises Cervantes-Pimentel
In this video presentation from the Wolfram Technology Conference 2011, Ulises Cervantes-Pimentel, a senior kernel developer at Wolfram, describes how to compute and program using the new GPU capabilities in Mathematica 8.
Ivo Vyn and Jan Riha
Ivo Vyn and Jan Riha share insights on the applications of Mathematica in crystalline optical activity in this presentation from the Wolfram Technology Conference.
Anthony Zupnik
Christopher Wolfram and Keshav Saharia
In this talk from the Wolfram Technology Conference, Christopher Wolfram and Keshav Saharia explain how they've connected Mathematica to the Arduino and demonstrate some of the possibilities for using the ...
David Stoutemyer
Mark Sofroniou
Association is a new data structure in Mathematica 10 that provides a new way of storing and organizing information. This talk discusses the fundamental design and gives a comparison with other ...
Devendra Kapadia, Adam Strzebonski
Carlo Giacometti
Learn about a suite of audio analysis and visualization functions available in the Wolfram Language.
Shadi Ashnai
Learn to modify audio signals using audio effects, including delay and reverberation.
Carlo Giacometti
Generate audio signals, from simple built-in models to a variety of complex signals.
Matt Green, Rick Biggerstaff