I think autodiff has probably really changed the game for this in nonlinear optimization, where you might want exact expressions for gradients (or Jacobians or Hessians) of crazy loss functions to speed up the optimization process. muPad/Symbolic Math Toolbox?)īut I get the impression that Mathematica is quite a bit more powerful and capable. (I've used Maple way back in undergrad and whatever Matlab's symbolic manipulator is. I work in robotics and sometimes find it helpful to derive some nasty equations of motion or something that are too time consuming to do on paper. If you're looking for a closed-form analytic solution to something big and nasty, it's the way to go. My understanding is that nothing beats Mathematica for performance on symbolic manipulation. I feel like it's got at least some footprint in high-end engineering too. I feel like all the quantum people in grad school used it heavily. If you do not see the email, check your Spam or Junk folder.It's got a pretty big footprint in academic physics. Select your Mathematica for Sites (Legacy) product, and click the button to “Request Extension” next to your Activation Key.Type in your UC San Diego email address and select the option to sign in using your UC San Diego netID and password (Note: The first time that you sign in using your school login, you will be prompted to link it to your Wolfram ID).If you would like to stay at your current version of Mathematica:.To upgrade to version 12.3.1 or newer version, follow the directions under “Licensing Access (Single Machine)”.Reactivating Mathematica Versions 12.3.0 and earlier (Note: The first time that you sign in using your school login, you will be prompted to link it to your Wolfram ID).When prompted to activate through your organization (SSO), sign in with your UC San Diego login (for details, see instructions: ).Click the link to download Mathematica for your operating system.
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