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| bio | website | facstaff.unca.edu/mcmcclur |
|---|---|---|
| location | Asheville, NC | |
| age | ||
| visits | member for | 1 year, 4 months |
| seen | 7 hours ago | |
| stats | profile views | 1,155 |
I've been a professor of mathematics at The University of North Carolina - Asheville since 1997. I've been using Mathematica since I started graduate school in mathematics at Ohio State in 1989. At that time, we used version 1.1 (as I recall) to teach calculus in our Calculus and Mathematica classes. I've used it pretty much continuously in my teaching and research since then.
In addition to my posts on SE, you can find some of my papers, teaching notebooks and other Mathematica based oddities strewn throughout my website.
In recent years, I've also worked as a part-time consultant to Wolfram Research focusing on development of mathematical content for WolframAlpha.
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Feb 28 |
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Eigenvalues and Determinant of a large matrix @makmaak See edit |
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Feb 27 |
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Differences between ParametricPlot3D and NIntegrate I guarantee you that I cannot answer this question, without more information - although, I might be able to guess that you need to restrict your function to be defined for only numerical values using something like t_?NumericQ. |
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Feb 27 |
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Eigenvalues and Determinant of a large matrix @DanielLichtblau Dimension = 1 works, too. |
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Feb 27 |
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GPU user experiences @OleksandrR. Right - my understanding is that GPUs are (except for the very highest end) not particularly fast and run only in single precision. Their advantage lies solely in the very large number of parallel processors they typically contain. Thus, algorithms that are easily and highly parallelizable tend to benefit, while many others don't. It just so happens that images arising in complex dynamics (an area of interest for me) fall into this area. |
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Feb 27 |
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GPU user experiences @Szabolcs Well, I'm pretty baffled! Obviously, I'm just learning about GPU programming, which should prove very useful to me, if I can master it. Ultimately, though, my immediate decision is between a new Macbook Pro or a new Mac Desktop and the question is "are the speed advantages of the desktop worth the immobility?" The answer would likely be "yes", if we're talking about close to 10 times as fast. |
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Feb 27 |
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GPU user experiences @Szabolcs Really? I had no idea! I honestly didn't even think it could run on the CPU. It certainly couldn't run on the CPU in under a second could it? Let' alone in under a tenth of a second. |
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Feb 27 |
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GPU user experiences @rm-rf I hope you don't find my edit to be of the Lena topping on the transparent box variety! |
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Feb 27 |
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ListPlot of recurrence equation of multiple variables @user6120 Craig?? |
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Feb 27 |
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ListPlot of recurrence equation of multiple variables @user6120 No problem! I hope your students like it. |
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Feb 27 |
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ListPlot of recurrence equation of multiple variables @Mr.Wizard No biggie - I'll save my reopen votes for the WolframAlpha questions. :) |
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Feb 27 |
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GPU user experiences @Szabolcs Got it - thanks! |
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Feb 27 |
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GPU user experiences Thanks for all the info, everyone! I wonder if anyone has a GeForce 675?? |
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Feb 27 |
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GPU user experiences @Szabolcs I don't understand what you mean by "Mathematica 9 always forces using the NVIDIA GPU on a Mac laptop". I'm at home now too with my even lamer laptop, as opposed to my office desktop, so I'll really have to wait to experiment more until tomorrow. |
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Feb 26 |
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GPU user experiences @rm-rf It's essentially C accessing the OpenGL API. The picture is so nice because of the high resolution. And thanks for the info! |
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Feb 26 |
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GPU user experiences @rm-rf Per the block size: If you get the invalid block size message, you might try lowering the blockSize parameter in the code. |
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Feb 26 |
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GPU user experiences @rm-rf Per the installation comment - I had a similar experience and needed to install separate software from NVIDIA when trying to get CUDAQ to return True when this stuff first came out. My impression is that this is the reason that Wolfram's data paclets are accessed when first loading CUDALink. |
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Feb 22 |
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Download Mathematica 8 Trial @belisarius I agree. What possible reason would there be for a down vote? |
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Feb 22 |
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Download Mathematica 8 Trial I very seriously doubt it. Why not just download the V9 trial? You'll have a few extra capabilities but not a lot of compatibility issues. |
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Feb 20 |
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inverse of abstract matrix Look at the Tensor* functions. Specifically, pass your result to TensorReduce or TensorExpand. |
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Feb 17 |
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Is it possible to use WolframAlpha servers to evaluate equations in Mathematica v8.0.4? And, perhaps, this will soon be of interest: online.wolfram.com |
