A new algorithm efficiently solves the graph isomorphism problem, which has puzzled computer scientists for decades.

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.

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.

The Solve () method performs the evolutionary algorithm using maxGen = 1,000 generations. The value of maxGen is a hyperparameter. The Solver class methods are declared with public scope to make it ...

Quantum physicists have developed an algorithm that uses a single qubit to solve a problem that had previously needed thousands of them.

How to Solve a Problem In 3 Steps -- Define It, Redefine It, Repeat Often, it is only when we seek a solution that we realize the complexity what the problem really is.

Their algorithm involved transforming the graph into a simpler one by deleting certain segments, solving the problem for the simplified graph, and then accounting for the deleted segments.

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.