The new curriculum is the grade-level math that my Algebra I students should be doing. When given the chance, so many rise to ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

We introduce a new class of certificates, termed graph control barrier function (GCBF), which are based on the well-established control barrier function theory for safety guarantees and utilize a ...

We developed an enhanced graph-based framework for protein function prediction by integrating ESM-2 sequence embeddings, hybrid structural pooling, and one-hot residue encoding.

By further considering a communication graph, we propose two distributed RL approaches based on local value functions derived from the coupling graphs. The first approach is able to reduce sample ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Modern times have shown that understanding infectious diseases is imperative to our survival. In this study, we gain an understanding of the SIR model for novel or emerging infectious diseases by ...

DDE is a discrete variant of the Differential Evolution algorithm, designed to be used in the integer problem space. This makes it an ideal optimizer for the generic GMDH framework. The code is ...

In this paper, we describe POP, a MATLAB toolbox for parametric optimization. It features (a) efficient implementations of multiparametric programming problem solvers for multiparametric linear and ...

Mathematical modelling software. Contribute to parisolab/mathmod development by creating an account on GitHub.