Abstract Randomized Kaczmarz, Motzkin Method and Sampling Kaczmarz Motzkin (SKM)
algorithms are commonly used iterative techniques for solving a system of linear inequalities …

Linopy is an open-source package written in Python to build and process linear and
mixedinteger optimization with n-dimensional labeled input data. Using state-of-the-art data …

Abstract The Sampling Kaczmarz Motzkin (SKM) algorithm is a generalized method for
solving large-scale linear systems of inequalities. Having its root in the relaxation method of …

An arc-search interior-point method is a type of interior-point method that approximates the
central path by an ellipsoidal arc, and it can often reduce the number of iterations. In this …

Recently proposed adaptive Sketch & Project (SP) methods connect several well-known
projection methods such as Randomized Kaczmarz (RK), Randomized Block Kaczmarz …

Solving linear programming is essentially to solve a special system of linear inequalities.
Unlike other pivoting methods, we find that row geometry can fully and effectively exploit …

We develop two greedy sampling rules for the Sketch & Project method for solving linear
feasibility problems. The proposed greedy sampling rules generalize the existing max …

The trend toward integration in systems has led to the unpredictability of electromagnetic
compatibility within the system. Fixed radiation emission standards struggle to meet the …

ABSTRACT Randomized Kaczmarz (RK), Motzkin Method (MM) and Sampling Kaczmarz
Motzkin (SKM) algorithms are commonly used iterative techniques for solving linear system …

The recently proposed Sampling Kaczmarz Motzkin (SKM) algorithm performs well in
comparison with the state-of-the-art methods in solving large-scale Linear Feasibility (LF) …