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| Solving the N-pendulum algebraically. &[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/61a8da15-3502-4d34-a1b8-b3bb505ed0e1 |
| Gareth, such an effort would involve eliminating several existing functionalities - so potential users would have to be educated as to why that is the case. In my perspective, this suite of functions would be invoked by WL and perhaps a WL GUI... |
| He's predicting log-price levels, not returns (log-price *differences*). It is the returns that are random, not the prices. The price series themselves are highly autocorrelated so you could get similarly good-looking results with the naïve forecast... |
| > This is easily modeled with two IdealGearR2T blocks -- one with a 1:1 ratio to move from translation to rotation with no ratio and a second one to go from rotation back to translation with a 1:2 ratio (output is twice the input). The two blocks... |
| Consider changing `ScreenResolutionCompatibilityMode` parameter ![enter image description here][1] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=snap00171.jpg&userId=101602 |
| Some time ago, before I had a Mathematica license, I solved the classical pendulum problem with only algebra and rational numbers : http://grondilu.github.io/pendulum.html I was inspired by Norman Wildberger who advocates on YouTube for what he... |
| Makes sense. I feel silly because I should have guessed that. Thanks. |
| Hi, I was experimenting with `NetGANOperator` and the training seemed to work fine as the loss function results were evolving more or less as I would have expected. However, when training was done, I tried to generate images from a few latent... |
| I don't know how to show the manipulate so I am placing the whole program lines, sorry!! It is about squaring a circle... sq=Table[j,{j,1000}] n=Select[sq,PrimeQ,(100)] sq2=Table[k,{k,100}] n3=sq2*-1 r=Table[k1,{k1,100}] ... |
| Hi Lucien, `WordData` can return the `PhoneticForm` for a word. WordData["hello", "PhoneticForm"] (* "həlˈoʊ" *) Perhaps you can build an `Association` of the words you are interested in (or all words in `WordData[]`) and their... |