Examples of 'computational problems' in a sentence

Meaning of "computational problems"

computational problems: Issues, challenges, or tasks related to the use of computers, software, algorithms, or mathematical calculations that require solutions or troubleshooting

How to use "computational problems" in a sentence

Basic
Advanced
computational problems
Computational problems solved using arithmetic operations.
Develop algorithmic solutions to simple computational problems.
Computational problems of this type are called promise problems.
Employ theoretical frameworks for analyzing computational problems.
Computational problems are therefore confined into complexity classes.
This causes both statistical and computational problems.
These computational problems can be characterized by their symmetries.
Grid networks are used to solve computational problems large scale.
The computational problems of the previous model were solved.
To do so very challenging mathematical and computational problems needs to be tackled.
Many of the computational problems that arise in data analysis and.
Persistence is very important to solve numerical and computational problems.
Many scientific computational problems involve vectors and matrices.
Such a device is capable of solving a wide range of computational problems.
Types of computational problems.

See also

The field of algorithms studies methods of solving computational problems efficiently.
Computational problems are one of the main objects of study in theoretical computer science.
We will also define the two computational problems that motivate.
Some computational problems are solved by searching for good solutions in a space of candidate solutions.
This notion is useful because it reduces computational problems to graph reachability problems.
Human computation is a paradigm that relies on human beings to support resolution of computational problems.
It is also the source of several central computational problems in theoretical computer science.
Distributed computing also refers to the use of distributed systems to solve computational problems.
There are several key traditional computational problems addressed within this field.
New ideas and solutions have been put forward to solve computational problems.
Some computational problems take years to solve even with the benefit of a more powerful microprocessor.
An assumption of convex position can make certain computational problems easier to solve.
Many computational problems request searching for the best feasible answer in compound search space solutions.
The technology will improve energy efficiency for complex computational problems.
This is usually achieved by solving complex computational problems using systems with high computing power.
It has led to simpler and more efficient algorithms for a variety of computational problems.
Equivalence of two collections of computational problems called QIP and PSPACE proved.
Highly parallel systems that use the intrinsic properties of molecules to solve specific computational problems.
The computational problems stream is expected to cover,.
He argues that games constitute a general mechanism for using brainpower to solve open computational problems.
For some kids, solving computational problems is fun.
Computational Complexity Theory is the study of intrinsic difficulties of computational problems.
In the case of distributed algorithms, computational problems are typically related to graphs.
But learning with large data sets comes with its own unique problems, specifically, computational problems.
However, some computational problems are easier to analyze in terms of more unusual resources.
In theoretical computer science, such tasks are called computational problems.
Therefore, they can be limited by computational problems in case of a complex evidence network.
Knuth Prize 2011 for developing influential algorithmic techniques aimed at solving long-standing computational problems.
In computer science, several computational problems related to independent sets have been studied.
And I should emphasize, we are talking about computational problems here.
Computers ' ability to solve computational problems has always been superior to that of humans.
In computational complexity theory, Karp 's 21 NP-complete problems are a set of computational problems which are NP-complete.
CoL formulates computational problems in their most general - interactive sense.
The main task of the MIR-3 computer was to solve computational problems for engineers.
In this thesis, we study computational problems encountered in different approaches to learning Bayesian networks.

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