Theory and Algorithms recognizes and harnesses the growing power of data to maximize the efficiency of algorithms.
It is the type of problem that asks a yes-no question on the entire range of inputs. The classical example is deciding whether a given natural number is prime or not.
The decision problem is decidable if it has a concrete yes or no answer. In other words, it is the problem that can be solved by an algorithm.
Meaning: Can a solution for any problem can be quickly verified as well as quickly solved?
FOR ONE MILLION DOLLARS! In 2000, the Clay Mathematics Institute offered $1,000,000 each for the solutions to 7 math problems that included "P versus NP" question. Since then, out of all 7 problems, only one has been resolved, which, fortunately, was not "P versus NP" problem.