This paper studies stability analysis using graph methods for electricity distribution networks. The spanning tree approach is used for modeling the grid in terms of graph nodes that represent diverse ...

With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities detection is still ...

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.

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 ...

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.

brainconn implements graph theoretic measures in Python. BCT is a matlab toolbox with many graph theoretical measures off of which bctpy is based. I did not write BCT (apart from small bugfixes I have ...

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 ...

Complexity and Robustness Design Examples Topologies, Metrics and Operator Theory Approximation in the Graph Topology The Best Possible H∞ Robustness Results State-Space Formulae and Proofs Singular ...

Pre-Algebra vs. Algebra 1 The concepts and skills taught in Algebra 1 – solving for different variables, graphing functions, etc. – can be fairly complex at first.

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 ...