Examples of using Computational problems in English and their translations into Portuguese
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Computational problems of this type are called promise problems. .
Apply mathematical andscientific reasoning to a variety of computational problems.
Therefore, they can be limited by computational problems in case of a complex evidence network.
Work effectively in teams to design andimplement solutions to computational problems.
Computational problems are one of the main objects of study in theoretical computer science.
Design, correctly implement anddocument solutions to significant computational problems.
However, some computational problems are easier to analyze in terms of more unusual resources.
The field of algorithms studies methods of solving computational problems efficiently.
Some computational problems can be shown to be decidable by using the Law of Excluded Middle.
This notion is useful because it reduces computational problems to graph reachability problems. .
The computational problems"minimum hitting set" and"hitting set" are defined as in the case of graphs.
Human computation is a paradigm that relies on human beings to support resolution of computational problems.
When considering computational problems, a problem instance is a string over an alphabet.
He argues that games constitute a general mechanism for using brainpower to solve open computational problems.
For this reason,complexity theory addresses computational problems and not particular problem instances.
However, computational problems have always been the major obstacle to obtain the effective use of these distributions.
Representing problem instances===When considering computational problems, a problem instance is a string over an alphabet.
The problem of production scheduling is classified as a combinatorial problem belongs to the np-hard class of computational problems.
In the last years, many games to resolve computational problems have been created, such as text translation and image labeling.
In computational complexity theory,Karp's 21 NP-complete problems are a set of computational problems which are NP-complete.
The objective of this text is to study computational problems that emerge from the relation between graphs and bidimensional surfaces, giving special attention to the crossing number problem and graph drawings on books.
The complementary field of computational complexity attempts to explain why certain computational problems are intractable for computers.
Since all computational problems are reducible into the accept/reject question on words(all problem instances can be represented in a finite length of symbols), automata theory plays a crucial role in computational theory.
Generic-case complexity is a subfield of computational complexity theory that studies the complexity of computational problems on"most inputs.
Graph theory is a branch of mathematics used to model and represent a set of elements and their relationships,which is also often used to solve computational problems.
The most usual ways that randomness comes to bear in computer science are by randomized algorithms when solving computational problems and in the average case analysis of algorithms, whether or not randomized.
In his review, Ronald V. Book recommends the book to"anyone who wishes to learn about the subject of NP-completeness", andhe explicitly mentions the"extremely useful" appendix with over 300 NP-hard computational problems.
There are several subfields of computer science that include computer graphics,language programming, computational problems, and computer programming.
The non-deterministic Turing machine has very little to do with how we physically want to compute algorithms, but its branching exactly captures many of the mathematical models we want to analyze, so thatnon-deterministic time is a very important resource in analyzing computational problems.
In his 1972 paper,"Reducibility Among Combinatorial Problems", Richard Karp used Stephen Cook's 1971 theorem that the boolean satisfiability problem is NP-complete(also called the Cook-Levin theorem) to show that there is a polynomial time many-one reduction from the booleansatisfiability problem to each of 21 combinatorial and graph theoretical computational problems, thereby showing that they are all NP-complete.