Algorithms solve problems. But which algorithm is best suited to which problem? During his doctoral research, Diederick Vermetten developed methods to ...

FSNet is a new problem-solving tool that can find the optimal solution to an extremely complex problem without violating any of the problem’s many constraints. Developed at MIT, FSNet could help power ...

One of the most difficult problems in the field of genomics is assembling short "reads" of DNA into complete chromosomes. Now an interdisciplinary group of genome and computer scientists has solved ...

This paper deals with the nonlinear complementarity problem on the product space of unit simplices, S. A simplicial variable dimension algorithm developed by van der Laan and Talman for proper ...

This is a preview. Log in through your library . Abstract We consider the optimal stopping problem for g(Zn), where Zn, n = 1,2,..., is a homogeneous Markov sequence. An algorithm, called forward ...

With regulators increasingly focusing on algorithmic discrimination, human intervention in predictive model programming and artificial intelligence (AI) will be more important than ever. Although the ...

Of the many skills leaders need to be effective, research consistently shows that complex problem solving is paramount. For most of us, however, solving difficult problems and selling the solutions ...