The size and complexity of energy system optimization models have increased significantly in recent years, driven by the availability of high-resolution spatial data. We present complexity reduction ...

Combining these results lead to the proposed Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression (AO-GPRLLSR) Filtering pipeline. The AO-GPRLLSR method generated an ...

Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...

Reference If you use HiGHS in an academic context, please acknowledge this and cite the following article. Parallelizing the dual revised simplex method Q. Huangfu and J. A. J. Hall Mathematical ...

Abstract This article presents a numerical model based on the finite difference method for the physical and geometric non-linear analysis of a one-dimensional consolidation problem regarding a ...

Target engagement can be measured by developing an assay where a ligand is added to the target protein and a quantifiable readout is generated, proportional to the degree of protein–ligand interaction ...

We introduce the use of mimetic methods to the imaging community, for the solution of the initial-value problems ubiquitous in the machine vision and image processing and analysis fields. PDE-based ...

Conducting studies for learning is fundamental to improvement. Deming emphasised that the reason for conducting a study is to provide a basis for action on the system of interest. He classified ...

python optimization ampl linear-programming milp modeling-language nonlinear-optimization nonlinear-programming mip integer-programming mixed-integer-programming linear-optimization ...