Tootfinder

I finished marking on Friday.
Co-pilot is integratrd into Matlab; some students made use of it (with permission).
LLMs cannot interpret graphs; at all. Their attempts to do so make abundantly clear that no analysis or interpretation takes place.
Most students using LLMs did so effectively, generating outputs in a few lines of code that could have been done with one function call, but nevertheless working.
Those who relied on it for analysis? Ouch! ~20% mark. So much…

Between #Matlab and #Python, which one would you recommend to learn, for a student who wants to learn programming (from scratch) to do data analysis? And why?
I am conflicted because I think Matlab is maybe slightly more straightforward to learn, but Python should be more useful in the long …

Analyzing Computational Approaches for Differential Equations: A Study of MATLAB, Mathematica, and Maple
Arhonefe Joseph Ogethakpo, Ignatius Nkonyeasua Njoseh
https://arxiv.org/abs/2510.02346

Analyzing Computational Approaches for Differential Equations: A Study of MATLAB, Mathematica, and Maple
Differential equations are fundamental to modeling dynamic systems in physics, engineering, biology, and economics. While analytical solutions are ideal, most real-world problems necessitate numerical approaches. This study conducts a detailed comparative analysis of three leading computational software packages: MATLAB, Mathematica, and Maple in solving various differential equations, including ordinary differential equations (ODEs), partial differential equations (PDEs), and systems of differ…

I learned about PsychoPy which is an open-source package for running experiments in Python (a real and free alternative to Matlab).
Anyone using it?
#python

A MATLAB toolbox for Computation of Speech Transmission Index (STI)
Pavel Rajmic, Ji\v{r}\'i Schimmel, \v{S}imon Cieslar
https://arxiv.org/abs/2510.03825 https://

A MATLAB toolbox for Computation of Speech Transmission Index (STI)
The speech transmission index (STI) is a popular simple metric for the prediction of speech intelligibility when speech is passed through a transmission channel. Computation of STI from acoustic measurements is described in the IEC 60268-16:2020 standard. Though, reliable implementations of STI are not publicly accessible and are frequently limited to the use with a proprietary measurement hardware. We present a Matlab STI implementation of both the direct and indirect approaches according to t…

Construction of Basis Functions for the Geometry Conforming Immersed Finite Element Method
Slimane Adjerid, Tao Lin, Haroun Meghaichi
https://arxiv.org/abs/2510.12018 https://…

Construction of Basis Functions for the Geometry Conforming Immersed Finite Element Method
The Frenet apparatus is a new framework for constructing high order geometry-conforming immersed finite element functions for interface problems. In this report, we present a procedure for constructing the local IFE bases in some detail as well as a new approach for constructing orthonormal bases using the singular value decomposition of the local generalized Vandermonde matrix. A sample implementation in MATLAB is provided to showcase the simplicity and extensionability of the framework.

Coherent Rayleigh-Brillouin scattering: influences of intermolecular potentials and chirp rates
Lei Wu
https://arxiv.org/abs/2510.09641 https://arxiv.org/p…

Coherent Rayleigh-Brillouin scattering: influences of intermolecular potentials and chirp rates
Chirped coherent Rayleigh-Brillouin scattering (CRBS) is a flow diagnostic technique that offers high signal-to-noise ratios and nanosecond temporal resolution. To extract information of dilute gas flow, experimental spectra must be compared with theoretical predictions derived from the Boltzmann equation. In this work, we develop a MATLAB code that deterministically solves the Boltzmann equation to compute CRBS spectra, enabling each line shape to be obtained in about one minute. We find that …

HOMC: A MATLAB Package for Higher Order Markov Chains
Jianhong Xu
https://arxiv.org/abs/2510.02664 https://arxiv.org/pdf/2510.02664

HOMC: A MATLAB Package for Higher Order Markov Chains
We present a MATLAB package, which is the first of its kind, for Higher Order Markov Chains (HOMC). It can be used to easily compute all important quantities in our recent works relevant to higher order Markov chains, such as the $k$-step transition tensor, limiting probability distribution, ever-reaching probability tensor, and mean first passage time tensor. It can also be used to check whether a higher order chain is ergodic or regular, to construct the transition matrix of the associated re…

Hi #Linux team - any recommendations for a work desktop computer with the following requirements:

• can do basic research stuff (reading, writing) and also a little bit of basic data analysis (with python or Matlab)
• would run a distribution like #ZorinOS or Mint
• with a Max…

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A GPU-Accelerated Matrix-Free FAS Multigrid Solver for Navier-Stokes Equations with Memory-Efficient Implementations
Jiale Meng, Shuqi Tang, Steven M. Wise, Zhenlin Guo
https://arxiv.org/abs/2510.11152

A GPU-Accelerated Matrix-Free FAS Multigrid Solver for Navier-Stokes Equations with Memory-Efficient Implementations
We develop a matrix-free Full Approximation Storage (FAS) multigrid solver based on staggered finite differences and implemented on GPU in MATLAB. To enhance performance, intermediate variables are reused, and an X-shape Multi-Color Gauss-Seidel (X-MCGS) smoother is introduced, which eliminates conditional branching by partitioning the grid into four submatrices. Restriction and prolongation operators are also GPU-accelerated. Convergence tests verify robustness and accuracy, while benchmarks s…

Developing signal processing skills: A proposal for the teaching of filters
Fernanda Zapata Bascu\~n\'an, Daniel Col\'on, Marcelo Ar\'aoz
https://arxiv.org/abs/2509.25355

Developing signal processing skills: A proposal for the teaching of filters
In accordance with Bloom's taxonomy, a four-level evaluation abstraction was generated with the objective of structuring and hierarchizing curricula knowledge, allowing students to dominate a subject and progressively reach the top of Bloom's pyramid. The evaluation was conducted with 10 university students who analyzed and optimized a filtering process using MATLAB simulation while constrained by time. The results demonstrate that this novel teaching method facilitates a more profound comprehe…