A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

Today’s author, Charlie Ellis, a Program Manager on the Excel team, shares a spreadsheet he built in Excel for solving Sudoku puzzles. The spreadsheet can be found in the attachments at the bottom of ...

scala programming solver linear quadratic linear-programming-modeler Updated on Sep 2, 2020 Scala ...

This paper proposes a data-driven distributionally robust chance constrained real-time dispatch (DRCC-RTD) considering renewable generation forecasting errors. The proposed DRCC-RTD model minimizes ...