21 citations · 52 across the 12 of their papers we have counts for
6 papers · 1 filter
Stochastic Steepest Descent Methods for Linear Systems: Greedy Sampling & Momentum
Md Sarowar Morshed, Sabbir Ahmad, Md Noor-E-Alam
Recently proposed adaptive Sketch & Project (SP) methods connect several well-known projection methods such as Randomized Kaczmarz (RK), Randomized Block Kaczmarz (RBK), Motzkin Re…
Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum
Md Sarowar Morshed, Md. Noor-E-Alam
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-distanc…
A Computational Framework for Solving Nonlinear Binary OptimizationProblems in Robust Causal Inference
Md Saiful Islam, Md Sarowar Morshed, Md. Noor-E-Alam
Identifying cause-effect relations among variables is a key step in the decision-making process. While causal inference requires randomized experiments, researchers and policymaker…
Heavy Ball Momentum Induced Sampling Kaczmarz Motzkin Methods for Linear Feasibility Problems
Md Sarowar Morshed, Md. Noor-E-Alam
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) problem…
Logarithmic Integrals: A Review from Gradshteyn and Ryzhik to Recent Times
Md Sarowar Morshed
The need to evaluate Logarithmic integrals is ubiquitous in essentially all quantitative areas including mathematical sciences, physical sciences. Some recent developments in Physi…
Sampling Kaczmarz Motzkin Method for Linear Feasibility Problems: Generalization & Acceleration
Md Sarowar Morshed, Md Saiful Islam, Md. Noor-E-Alam
Randomized Kaczmarz (RK), Motzkin Method (MM) and Sampling Kaczmarz Motzkin (SKM) algorithms are commonly used iterative techniques for solving a system of linear inequalities (i.e…