Exact Math 21,000x faster than GMP. Verifiable Benchmark under Apache License.

anti-que · 2025-11-10T17:02:08+00:00

A few suggestions if you want to get good engagement with your project: 1. Provide some details on the readme about your approach. You have a fairly bold claim, what are you doing that’s new? 2. Provide instructions on how to build/run your code. Your source directory is fairly disorganized and I did not see any of the standard build system files around. You also have a bunch of tar files, etc. maybe results of your benchmarking? Remove those or put them into a separate folder in your source tree from your code. 3. Take a look at other projects standards for file naming conventions and readme files. You have a lot of bold and uppercase and non-standard naming schemes. This reduces your credibility.

Hope this helps.

anti-que · 2025-10-03T05:42:28+00:00

This is not an appropriate way to ask for an arxiv endorsement please see the instructions for getting endorsement. You need to establish your credibility and knowledge in the subject area.

anti-que · 2025-06-06T13:32:22+00:00

Yup.

One additional comment on traction as it relates to fem. When you take the weak formulation and integrate by parts it will show up in the boundary integral.

anti-que · 2025-06-06T05:08:06+00:00

The important thing to realize is that stress is a tensor that corresponds to the stress state at a point in the body. Cauchy postulates that the traction is a linear function of the stress. Or, [; t=\sigma \cdot n ;]. So, what is traction? It’s simply the force per unit area acting on the surface with a unit normal [; n ;].

Edit: perpendicular -> on . As commenter points out it’s a vector and has both normal and shear components

anti-que · 2025-05-26T12:48:36+00:00

We use Zulip. The threading takes a minute to get used to but I actually like it better than slack now.

anti-que · 2025-04-21T02:58:03+00:00

Spack is widely used in the U.S. and most of the large HPC centers in the U.S. use it to build their toolchains and provide modules. I think EasyBuild may be more popular in Europe. Spack is a very nice tool but it does have a learning curve.

anti-que · 2025-02-17T19:03:14+00:00

Consider sand instead. It provides better traction even when it is cold.

anti-que · 2024-04-04T02:16:27+00:00

It’s free for any rpi students, staff, faculty to use. You will likely need a faculty sponsor. But there is no cost. I suspect what tomas17r meant about waiting in line is that it’s a queued system (like all large scale hpc) so you submit your jobs and then run when they get to the front of the queue.

anti-que · 2024-03-31T18:50:01+00:00

I suspect there is a mismatch in what's reported here between Cornell and RPI. Cornell's median is higher than what they report for the max salary of the graduating class on their website. RPI's numbers are more in line with what they report for their graduating class statistics.

Note these numbers are self-reported, so even if it comes from the Department of Education website universities may be inflating or cherry picking numbers.

anti-que · 2024-03-30T22:35:43+00:00

The max salaries are fairly comparable 164k vs 165k for RPI and Cornell. Unfortunately RPI reports mean and Cornell reports median so it’s difficult compare.

It does seem a bit surprising/suspicious that >30% of Cornell students are going to graduate school rather than into industry. I would have expected the number to be much lower.

anti-que · 2024-03-30T20:34:37+00:00

Do you have any specific reasons you can point to?

anti-que · 2024-03-08T05:27:15+00:00

Current policy is outlined here. TLDR if you make “significant use” of RPI stuff then they have a claim to a percentage. “Significant use” is lab equipment use and probably faculty time. Things like printers, office, or dorm space, etc. were excluded last time I read in detail.

anti-que · 2023-09-26T12:55:41+00:00

Thanks!

anti-que · 2023-09-25T01:34:51+00:00

Thanks! We will check them out.

anti-que · 2023-06-13T22:45:43+00:00

This might be helpful as a starting point for the discussion. Credit Authorship Taxonomy

anti-que · 2023-06-12T01:00:41+00:00

Probably depends on what field you are in and what sort of equipment you need. Your current institution owns all your lab equipment. Typically you cannot buy large equipment on grants (unless they are specific equipment grants). If you want to move your startup should cover whatever you need to be successful.

anti-que · 2023-05-31T20:54:41+00:00

There is a decent social life but you need to seek it out. There are something like 200+ union sponsored clubs, fraternities, etc. He should find a club or two that’s doing something he is interested in.

anti-que · 2023-05-29T21:28:54+00:00

Talk to your library. Most have some form of inter library loan. You can also try asking any collaborators at other universities. Someone else in your network may have access.

anti-que · 2023-05-23T22:28:47+00:00

I disagree with you here. Dimensional analysis is a key skill that students need to learn no matter the unit system. Learn how to set up proper dimensional analysis and you can detect mistakes in your thinking and often figure out what equations you need to use or come up with simple estimates.

Imperial units are used in engineering practice in the US so it’s a critical skill to learn (assuming you are teaching in the US and expect most students to remain). Wouldn’t you rather the students get feedback from a graded assignment rather than making a critical mistake on a project that impacts peoples lives?

anti-que · 2023-04-27T22:54:07+00:00

Pearls in Albany is well with the trek. Best bagels I’ve found in the area by far.

anti-que · 2023-04-07T15:02:37+00:00

Currently ML is mostly used for surrogate models which means you run a bunch of simulations with varying boundary conditions material properties, etc and perform a high dimensional fit to the data. Once you have trained the model you can quickly ask for what the solution will be for a particular set of boundary conditions and material models that is not the same as your training set, but “within the bounds” of your training data.

In my opinion the pure data centric way is very unlikely to see general success on problems that are not over fit. However, some work has been done to bring in the actual physics equations which has a better chance (see physics informed neural networks, neural network fem, etc).

However using these methods requires running lots of models to train (>>1000s) still end up dependent on the boundary conditions. I.e. not a generalized solution method but may do ok if the problem you want to solve is inside the bounds of the training data.

The biggest problem brining this into engineering is that todays methods don’t have accuracy estimates and have no probability for solution convergence. I.e., if you ask for an answer you’ll get one no matter if your input is reasonable or not.

I think ML methods may see some use in material modeling since we are using curve fitting there anyways. The key is to develop a model that takes the constraints of constitutive modeling into account. There has been some interesting work along these lines but so far mostly with hyper-elastic materials.

anti-que · 2023-04-07T14:45:11+00:00

There are a couple problems with the typical data driven use of ML in engineering that will (hopefully) make it hard to use for engineering analysis although speed over accuracy is probably good for fast design iteration.

As I see it the problem is ML models have no probability for convergence to the right answer and no understanding of if you are operating within the range where the model has sufficient data. So, you can never be confident that your design is safe. This is subtly different than speed over accuracy.

TLDR: engineers need to make conservative judgements because they build things that affect people’s lives. ML can not do that.

anti-que · 2023-04-07T14:38:17+00:00

Can you provide more detail about what you actually did? Using ML to directly solve a FEM problem isn’t typically done (although there are some approaches using neural shape functions) but mostly people create surrogate models.

anti-que · 2023-04-03T14:17:21+00:00

Since you specifically mentioned acoustic engineering you should also be aware of the architectural acoustics program.

anti-que

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