There are several key traditional computational problems addressed within this field.

It is also the source of several central computational problems in theoretical computer science.

In theoretical computer science, such tasks are called computational problems.

Computational problems and resources are understood in their most general - interactive sense.

In computer science, several computational problems related to independent sets have been studied.

However, some computational problems are easier to analyze in terms of more unusual resources.

A distributed system may have a common goal, such as solving a large computational problem.

Let I be an infinite set of inputs for a computational problem.

Determining this core fold is the computational problem at hand.

A computational problem is generally defined in terms of its action on any valid input.

Each processor solves its part of the overall computational problem.

I assume the first real applications will be on computational problems that we haven't even thought of yet."

And clearly he didn't understand the computational problems un- derlying that theory.

Computational problems are one of the main objects of study in theoretical computer science.

A computational problem is thus considered decidable if it can be solved by a computer.

For this reason, complexity theory addresses computational problems and not particular problem instances.

When considering computational problems, a problem instance is a string over an alphabet.

The type of computational problem: The most commonly used problems are decision problems.

A computational problem is divided into parts, and the processors attack it simultaneously.

Some computational problems take years to solve even with the benefit of a more powerful microprocessor.

Formally, a computational problem consists of instances together with a solution for each instance.

Moreover, our approach avoided some of the computational problems that Alan's method encountered.

This simple description glosses over what's actually a hideous computational problem.

How does a parallel processing system solve computational problems?

Many complex computational problems don't fit this model.