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非線形偏微分方程式への有限要素法の適用 - Mathematica12での実装 -

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Channels: Virtual Events

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701 videos match your search.
Sonia Sharp (Chair), Jo Boaler, Joshua Fost, Brian Silverman and David Vaccaro
In this panel discussion, we’ll be talking about how to move forward and achieve a fundamentally new mainstream core computational curriculum fit for the AI age. Our panellists will explore the practicalities for testing and deployment within existing educational structures. The panel will ...
Adrian Smith (Chair), Jon McLoone, Anthony Scriffignano and Martina Wicklein
The panel will discuss their experiences of key failures in the use of computation and computational thinking in businesses, in universities and in life. With first-hand testimony from our panel ...
Yu-Sung Chang, Vitaliy Kaurov, Brett Champion
Wolfram experts discuss some of their favorite Mathematica visualization examples as part of an open chat during the Wolfram Visualization Virtual Workshop 2013.
In the first webinar of the Software Development webinar series, you'll learn about the state-of-the-art local and global optimization techniques and parallel programming paradigms integrated into the Wolfram Language, along ...
Kyle Keane
Learn how to incorporate engaging digital content into physics classrooms with Mathematica, Wolfram|Alpha, and other Wolfram technologies. This Wolfram Technology for STEM Education: Virtual Conference for Education talk demonstrates ...
Learn about using Wolfram|Alpha for your physics class computations to complement your existing curricula. Interesting blog posts and online resources are shared that help foster curiosity in areas such ...
Tom Sherlock
This talk covers the techniques used to filter, align and stack data collected using a backyard telescope in order to reduce noise and produce reasonable image results. Wolfram Language features ...
Predict60:36
Harry Calkins
Learn how to create a presentation in Mathematica and individualize it using stylesheets in this course from the Wolfram Mathematica Virtual Conference 2012.
See how easy it is to use the Wolfram Language to solve real-world statistics and probability problems with quantity data, enhanced time series support, and over 150 distributions, including random matrices.
Gosia Konwerska
Novedades en el procesamiento de imágenes con Mathematica 10.