Minimize costs? Create a conference schedule with fewest early-morning sessions? In this excerpt from the book Data Smart, find out how to use Excel's free Solver add-in to do some data science ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial ...

Like most optimization problems, i t’s the sheer scale that foils the capacity of binary computers to solve it. “Effectively, it would take the lifetime of the universe to evaluate all the possible ...

Microsoft CEO Satya Nadella hailed a research breakthrough as the company unveiled an analog optical computer built with ...

A conversation with author Anne Morriss on two keys to organizational success. When it comes to solving complicated problems, the default for many organizational leaders is to take their time to ...

How to Solve Any Problem By Asking 5 Questions More to the point: asking the same question five times. EXPERT OPINION BY BILL MURPHY JR., FOUNDER OF UNDERSTANDABLY AND CONTRIBUTING EDITOR, INC.

Luna v1.0: Quantum optimization for everyone With Luna, users can model, benchmark and solve optimization problems intuitively using Python, while Luna provides hardware-agnostic access to various ...

“When solving a very large computational problem, optimization solvers can require significant computational time to find a first feasible solution,” said Dr. Timo Berthold, director of Mixed ...

Until now, it was unknown how much quantum computers had improved at optimization tasks given the rapid development of powerful hardware.

Solving this large optimization problem efficiently is a challenge we have been trying to address since the 1970s,” she said. “The key innovation here is that there are fundamental limits to how fast ...