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| Hi, this is a late reply. But I found your answer to be informative. What did you mean by "solve (1,2,3) symbolically using **proofs**"? What are the "**proofs**" here? Is it a lecture note? I do not have access to the "princeton.pdf", could you... |
| Thank you for your help! It has evaluated up to "Sorry, next step is kind of time-consuming." So, the problem has been fixed. |
| You could use `wmic` and `RunProcess` like so: RunProcess[{"wmic", "cpu", "get", "name"}]["StandardOutput"] "Name Intel(R) Core(TM) i7-4930MX CPU @ 3.00GHz " |
| That works great. Thank you. (s9 = RandomInstance) EuclideanDistance[c, a] /. s9["Points"] 7.52881 |
| ![enter image description here][2] -- you have earned ***Featured Contributor Badge*** ![enter image description here][1] Your exceptional post has been selected for our editorial column ***Staff Picks*** http://wolfr.am/StaffPicks and [Your... |
| Hi Tim, This is extremely useful. Maybe, more like a game-changer. I got it working myself about an hour ago. Next week, I will hook it all up with NDSolve properly. Thank you for telling me OpenCascadeLink. It really will help. Antony |
| Dear Tim, thank you very much for the reply. That is exactly the contribution, I was looking for. I had a look at a number of your very nice contributions on your website (?) but at that time I had found them while tackling an entirely different... |
| I don't know if anyone is trying to use the geospatial statistics method? For example, IDW(Inverse Distance Weighted) or Kriging. I use an example obtained on the Internet to try to make the IDW method. |
| ![enter image description here][1] - Congratulations! This post is now featured in our [Staff Pick][2] column as distinguished by a badge on your profile of a [Featured Contributor][3]! Thank you, keep it coming! [1]:... |