It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do so for some critical optimization tasks.

Moreover, nonlinear optimization can be computationally expensive in terms of time and memory, so care must be taken when matching an algorithm to a problem. the function value (optimization criterion ...

The user needs to choose the optimizer, and the application characteristics should drive the optimization algorithm selection, not the mathematical appeal, academic fashion, or traditional company ...

This algorithm integrates the search capabilities of classical computing with the parallel computing characteristics of quantum computing, effectively addressing constrained optimization problems ...

The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11–12, 2018, in Berkeley, California, to discuss robust ...

There are several optimization techniques available in PROC NLMIXED. You can choose a particular optimizer with the TECH=name option in the PROC NLMIXED statement. No algorithm for optimizing general ...