Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Breaks copper reach barrier in AI scale-up networks, increasing xPU count in scale-up domain by up to 10x with architectures spanning multiple racks Announces partnership with Amphenol to deliver ...

After saving market participants more than US$300 million dollars with Nasdaq Basic US, Nasdaq Basic Canada extends the cost saving value proposition to the Canadian marketplace. Nasdaq Basic Canada ...

There are many technical and commercial factors that original equipment manufacturers (OEMs) must evaluate when designing motion control solutions for industrial machinery. Many types of industrial ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

Abstract: The first linear programming bound is the best known asymptotic upper bound for binary codes, for a certain subrange of distances. Starting from the work of Friedman and Tillich (2005), ...

Universal Basic Income (UBI) has frequently been discussed as a potential solution to economic inequality in an increasingly automated and AI-driven world. Alternatives like Universal Basic Services ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

Sixty years ago, on May 1, 1964, at 4 am in the morning, a quiet revolution in computing began at Dartmouth College. That’s when mathematicians John G. Kemeny and Thomas E. Kurtz successfully ran the ...