Abstract: Several important problems in control theory can be reformulated as semidefinite programming problems, i.e., minimization of a linear objective subject to linear matrix inequality (LMI) ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

Tom Llamas says some of the nicest things — but the words may not be ones that please the ears of rivals at ABC or CBS. In recent weeks, audiences tuning into NBC’s “NBC Nightly News,” which Llamas ...

where \(V_{x}(r)=V_{x}\cap B(x;r)\subset {\mathbb {R}}^{m}\) is intersection of the usual Voronoi cell $$\begin{aligned} V_{x}=\{y\in {\mathbb {R}}^{m}:\Vert y-x\Vert ...

This page provides a link to TurboParser, a free multilingual dependency parser developed by André Martins. Dependency parsing is a lightweight syntactic formalism that relies on lexical relationships ...

Scalp electroencephalogram (EEG) analysis and interpretation are crucial for tracking and analyzing brain activity. The collected scalp EEG signals, however, are weak and frequently tainted with ...

Operations research professionals need the best linear programming software for Windows to solve optimization problems. Below we offer a tool that comes with all the essentials to help you perform a ...

1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...

1 Department of Basic Sciences and Humanities, University of Asia Pacific, Dhaka, Bangladesh. 2 General Education Department, City University, Dhaka, Bangladesh. 3 Department of Mathematics, ...

Streaming, like HBO before it, liberated creators from advertiser moralizing. As ads invade the ecosystem, self-censorship could follow. At the June 1 National Association of Television Program ...

In 2014, a home reconstruction program called "Dream home" was launched in China, inviting architects and interior designers to redesign some old houses that have problems. Some of these homes are ...

A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form of optimization used to fit a machine learning model to a set of ...