Examples of using Non-deterministic in English and their translations into Serbian
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What makes algorithms non-deterministic?
Place any non-deterministic test in a quarantined area.
In this article I outline how to deal with non-deterministic tests.
Few things are more non-deterministic than a call to the system clock.
In stochastic models a piece of music is composed as a result of non-deterministic methods.
If you have non-deterministic tests keep them in a different test suite to your healthy tests.
While I sympathize with their argument,automated tests are useless if they are non-deterministic.
Non-deterministic pushdown automata are another formalism equivalent to context-free grammars.
A decision problem is in NP if it can be solved by a non-deterministic algorithm in polynomial time.
A variety of factors can cause an algorithm to behave in a way which is not deterministic, or non-deterministic.
If it isn't a case of one test being non-deterministic then resource leaks are a good candidate to investigate.
The measure NSPACE is used to define the complexity class whose solutions can be determined by a non-deterministic Turing machine.
A test is non-deterministic when it passes sometimes and fails sometimes, without any noticeable change in the code, tests, or environment.
On the other hand,NSPACE describes the space complexity of non-deterministic Turing machines, which are not useful when trying to represent actual computers.
Co-NP is the set of decision problems where the"no" instances can be accepted in polynomial time by a non-deterministic Turing machine.
Usually with these tests a non-deterministic failure is relatively common, so you end up shrugging your shoulders when these tests go red.
Savitch's theorem, proved by Walter Savitch in 1970,gives a relationship between deterministic and non-deterministic space complexity.
The trouble with non-deterministic tests is that when they go red, you have no idea whether its due to a bug, orjust part of the non-deterministic behavior.
In computational complexity theory, Savitch's theorem, proved by Walter Savitch in 1970,gives a relationship between deterministic and non-deterministic space complexity.
A non-deterministic Turing machine can find such a route as follows: At each city it visits it"guess" the next city to visit, until it has visited every vertex.
Therefore, an alternative hypothesis search can be conducted using the operation of the inverse subsumption(anti-subsumption)instead which is less non-deterministic than anti-entailment.
For example, the class NP is the set of decision problems that can be solved by a non-deterministic Turing machine in polynomial time, while the class PSPACE is the set of decision problems that can be solved by a deterministic Turing machine in polynomial space.
The article on P-complete problems lists further relevant problems in P. A generalization of P is NP, which is the class of decision problems decidable by a non-deterministic Turing machine that runs in polynomial time.
A variety of factors can cause an algorithm to behave in a way which is not deterministic, or non-deterministic: If it uses external state other than the input, such as user input, a global variable, a hardware timer value, a random value, or stored disk data.
That is: in a non-deterministic GC system, if a resource or a resource-like object requires manual resource management(release/close), and this object is used as"part of" another object, then the composed object will also become a resource-like object that itself requires manual resource management(release/close).
Since all problems in NP can be reduced to X,it follows that for every problem in NP we can construct a non-deterministic Turing machine that decides its complement in polynomial time, i.e., NP⊆ co-NP.
In the future, the Internet of Things may be a non-deterministic and open network in which auto-organized or intelligent entities(web services, SOA components) and virtual objects(avatars) will be interoperable and able to act independently(pursuing their own objectives or shared ones) depending on the context, circumstances or environments.
Because of Savitch's theorem, NPSPACE is equivalent to PSPACE,essentially because a deterministic Turing machine can simulate a non-deterministic Turing machine without needing much more space(even though it may use much more time).
This means that there is a non-deterministic machine which, for a given input of size n, will run in time O(f(n))(i.e. within a constant multiple of f(n), for n greater than some value), and will always"reject" the input if the answer to the decision problem is"no" for that input, while if the answer is"yes" the machine will"accept" that input for at least one computation path.
The model of computation: The most common model of computation is the deterministic Turing machine, butmany complexity classes are based on non-deterministic Turing machines, Boolean circuits, quantum Turing machines, monotone circuits, etc.