Groups involved in class actions, for short?

This time we are looking on the crossword puzzle clue for: Groups involved in class actions, for short?.
it’s A 44 letters crossword definition.
Next time when searching the web for a clue, try using the search term “Groups involved in class actions, for short? crossword” or “Groups involved in class actions, for short? crossword clue” when searching for help with your puzzles. Below you will find the possible answers for Groups involved in class actions, for short?.

We hope you found what you needed!
If you are still unsure with some definitions, don’t hesitate to search them here with our crossword puzzle solver.

Possible Answers:

PTAS.

Last seen on: NY Times Crossword 10 Sep 21, Friday

Random information on the term “PTAS”:

In computer science, a polynomial-time approximation scheme (PTAS) is a type of approximation algorithm for optimization problems (most often, NP-hard optimization problems).

A PTAS is an algorithm which takes an instance of an optimization problem and a parameter ε > 0 and, in polynomial time, produces a solution that is within a factor 1 + ε of being optimal (or 1 − ε for maximization problems). For example, for the Euclidean traveling salesman problem, a PTAS would produce a tour with length at most (1 + ε)L, with L being the length of the shortest tour. There exists also PTAS for the class of all dense constraint satisfaction problems (CSPs).[clarification needed]

The running time of a PTAS is required to be polynomial in n for every fixed ε but can be different for different ε. Thus an algorithm running in time O(n1/ε) or even O(nexp(1/ε)) counts as a PTAS.

A practical problem with PTAS algorithms is that the exponent of the polynomial could increase dramatically as ε shrinks, for example if the runtime is O(n(1/ε)!). One way of addressing this is to define the efficient polynomial-time approximation scheme or EPTAS, in which the running time is required to be O(nc) for a constant c independent of ε. This ensures that an increase in problem size has the same relative effect on runtime regardless of what ε is being used; however, the constant under the big-O can still depend on ε arbitrarily. Even more restrictive, and useful in practice, is the fully polynomial-time approximation scheme or FPTAS, which requires the algorithm to be polynomial in both the problem size n and 1/ε. All problems in FPTAS are fixed-parameter tractable with respect to the standard parameterization. For example, the knapsack problem admits an FPTAS.

PTAS on Wikipedia