The COmputational Physics book by Landau,ĭavid Eberly's Code that comes with his 3D graphics book.Ĭhris Hecker's Code for 3D rigid body s open src i believe numerical recipes in C or C++ or fortran and However because you doing an undegrad might I suggest learning C/C++ and building the stuff from scratch, since a lot of fast-performance simulations are still based in c/C++ and its better to be a person of 2 trades for the same field i think, that is to say applying both math/code to physics(theorist+coder) So talk to your profs, because you should decide based on the 4 years you spend at school.industry i hear uses MATLAB more, but that's based on a friends opinion However applied mathematicians used maple.where as numericals used matlab. Maple was more for people who didn't really code as part of their research. Personally i prefer MATLAB because it was more dominate with teh simulations people at MAC. In cdn matlab/maple are more dominate for undergrads i think.matlab is beautiful i think because its syntax is easier but if you can write scripts for maple that'd be cool to. Maple/matlab/mathematica all are good depending on the type of syntax you want to be bothered with. Please, feel free to ask me for more details and I'll do my best.Depends on how far into numerical science/simulations science you want to go. I hope that will be of help to other members. (I run Parallel VMs from external disks, too, but that's with a lot of RAM on MPs). I expect the issue won't be the i5 2-core CPU, but the 8GB RAM and its Fusion disk. I doubt I could have done sth similar with a base Mini 2014, but I'll give it a try in the future. Anyway, no noticeable delays so far so good, then.ħ. They may run concurrently alight, but in general, I avoid having too many apps running. At the same time, I run other Mac applications like a couple of browsers, Acrobat, music from VOX plus a booster, but no MS Office apps or photo editing. Of course, Windows 11 will need a license key, but that doesn't prevent its current use.Ħ.
Again, I chose "full sources" and the VM installed in the SSD however, for RAM, CPU, etc., Parallels makes its own choice for optimum performance and I accepted it.
#Maple vs mathematica install#
The latter offers to download an iso file and install Windows 11 through it. For Windows 11, as far as I know, there is some sort of agreement between Microsoft and Parallels. I also set the screen to "Full Window" on a 24" monitor.
#Maple vs mathematica full#
I chose the full scale and I haven't regretted it. Parallels 18 has a nice new feature: The user can choose how much of the OS native sources' will be used by the VM. I assigned 2GB RAM and 2 CPUs, as recommended. For maximum performance, I chose to keep the VM folder in the internal SSD. The installation went without problems with some adjustments needed, but I happen to have quite some experience in running Linux or Windows as a VM on Parallels.Ĥ. Not all Linux distros are ready for ARM machines, so I accepted the Ubuntu 22.04 offered by Parallels there are some more offers, but I decided to start with a Debian-based distro.ģ. I have installed Parallels Desktop 18.01 on a base Mini M1 running Ventura 13.3 there is a more recent Parallels version and I intend to install it sometime later.Ģ. The truth is, that is quite feasible and I'd like to share my experience on that.ġ. Recently, a lot of posts (including mine!) warned against attempting to run virtualized Windows and Linux on a base Mini M1.
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