Methods for automatic analysis of user interfaces are essential for a wide range of
applications in computer science and software engineering. These methods are used in …

Often in applications ranging from medical imaging and sensor networks to error correction
and data science (and beyond), one needs to solve large-scale linear systems in which a …

The Kaczmarz algorithm is an iterative method that solves linear systems of equations. It
stands out among iterative algorithms when dealing with large systems for two reasons …

We consider linear systems where consists of normalized rows,, and where up to entries of
have been corrupted (possibly by arbitrarily large numbers). Haddock, Needell, Rebrova & …

This work presents a multivariable predictive controller applied on a redundant robotic
manipulator with three degrees of freedom. The article focuses on the design of a discrete …

In applications like medical imaging, error correction, and sensor networks, one needs to
solve large-scale linear systems that may be corrupted by a small number of arbitrarily large …

We outline a new approach for solving linear programming relaxations of NP-hard graph
clustering problems that enforce triangle inequality constraints on output variables …

This paper proposes a stochastic model predictive control using the Laguerre function with
optimal Kalman filter state estimation. The controller design uses an ARMAX state-space …

The Kaczmarz algorithm is an iterative row action method that typically solves an
overdetermined linear system. The randomized Kaczmarz algorithm, which was introduced …

Abstract Motion control of Blanket Remote Maintenance Mover (BRMM) is studied in the
maintenance and transportation process of blanket in the China Fusion Engineering Test …