Prompted by an example in the medical field we are led to consider linear structural relationships between all pairs of a set of p(>2) random variables X$_i$(i = 0, $\cdots$, p - 1). This model has ...

I have a very strong intuition preference”, says Michele Heisler, “which may drive you crazy, because I tend to be non-linear ...

Abstract: During industrial smart manufacturing, many problems can be described as a time-dependent nonlinear equation system (TNES) that needs to be solved cooperatively due to large-scale ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

The graphs of \(y = 2x + 1\) and \(y = 2x - 2\) are shown below. The graph of \(y = 2x + 1\) crosses the \(y\)-axis at (0, 1). The graph of \(y = 2x - 2\) crosses the ...

Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...

APPSC FBO Syllabus 2025: The Andhra Pradesh Public Service Commission (APPSC) has announced 691 vacancies for the Forest Beat Officer and Assistant Beat Officer posts in the A.P. Forest Subordinate ...

The only requirements are Python (≥3.10) and PyTorch. The project, in development mode, can be installed with: git clone https://github.com/javrtg/AnyCalib.git ...

Insights into coherence synthesis in nonlinear optics highlight the role of spatial coherence in shaping second harmonic light from partially coherent inputs.