First, we investigate five different SNR estimation techniques, namely Nearest Neighbourhood (NN) method, First-Order Linear Interpolation (FOL) method, Nearest Neighbourhood with First-Order Linear ...

This article explores the relationship between some of the concepts and procedures that appear in this Proposition and the ideas and mathematical tools used in linear multivariable control. In ...

Thus HiGHS can solve linear programming (LP) problems ... HiGHS has primal and dual revised simplex solvers, originally written by Qi Huangfu and further developed by Julian Hall. It also has an ...

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 saturated, ...

These techniques monitor changes in stability, structure, optical properties or mass difference between proteins and their ... faced when drugging different protein classes, with each method having ...

Because of their favorable stability and efficiency properties, semi-implicit finite difference and finite element schemes have been the methods of choice (in that ... and other localization problems ...

This book provides a clear summary of the work of the author on the construction of nonstandard finite difference schemes for the numerical integration of differential equations. The major thrust of ...

6 The difference between the two concepts lies in the ... and traditional statistical methods are therefore not useful. Rather, graphical methods of analysis and summary of the repeated samples reveal ...

LPFramework is an abstraction to programmatically formulate mixed-integer linear optimization (MILP) problems, which can then be solved using open-source/commercial ...

The interacting quantum atoms (IQA) method decomposes the quantum mechanical (QM) energy of a molecular system in terms of one- and two-center (atomic) contributions within the context of the quantum ...