Examples of using Computational problems in English and their translations into Greek
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Types of computational problems.
The deal will also see scientists from both institutions working together to solve complex computational problems.
Understanding the nature of computational problems. Prerequisites.
Computational problems of this type are called promise problems. .
Automata theory is the study of abstract machines andautomata,as well as the computational problems that can be solved using them.
Computational problems are one of the main objects of study in theoretical computer science.
The emphasis in this stream is more on the methods and mathematical oralgorithmic foundations of applications and computational problems.
Large datasets can also create computational problems that are generally beyond the capabilities of a single computer.
There are several subfields of computer science that include computer graphics, language programming, computational problems, and computer programming.
The device is thus part of a complete silent-computing system that lets theuser undetectably pose and receive answers to difficult computational problems.
In computational complexity theory,a computational resource is a resource used by some computational model in the solution of computational problems….
In the traditional model of web programming, the lack of state is reflected in the program's structure,leading to code constructed around a model that lends itself very poorly to expressing computational problems.
In theoretical computer science, automata theory is the study of abstract machines and the computational problems that can be solved using these machines.
For example, programming language and their theoretical studies approaches to describing computations,while computer programming applies specific programming languages to solve specific computational problems.
Objectives: Learning of theory andsoftware development skills for understanding and solving computational problems that are common in the process of creating video games and other modern interactive applications.
For example, programming language theory studies approache to describing computations,while computer programming applies specific programming languages to solve specific computational problems.
In particular, it introduces the theories of Computability and Complexity,which constitute the premier analytical arsenal of Computer Science, for reasoning on the decidability,(in-)tractability and relative hardness of computational problems.
The rapidly developing area of hydroinformatics provides a variety of methodologies andtools that are suitable to solve specific computational problems and demands an integrated framework of model co-operation and linking.
His recent research focuses on mathematical and computational problems in nanometrology and nanotechnology with emphasis on the characterization and modeling of the morphology and roughness of nanostructures used in electronics, photonics, smart surfaces and bio-applications.
The complementary field of computational complexity attempts to explain why certain computational problems are intractable for computers.
Graduates of the program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering.
We will also be looking into the potential of quantum technologies which hold the promise to solve computational problems beyond current supercomputers.”.
Graduates of the program should be capable of formulating solutions to computational problems through the use of multidisciplinary knowledge gained from a combination of classroom and laboratory experiences in basic sciences and engineering.
Apart from the purely mathematical side, Theoretical Computer Science also offers new andeffective techniques to address practical computational problems that arise in all areas of human activity.
For example, programming language theory studies approaches to describe computations,while computer programming applies specific programming languages to solve specific computational problems with solutions.
At the other end of the spectrum, computer science may be seen as the application of human resources, software and of course,computers to solve computational problems relating to society's and individuals' needs.