Deterministic machines: Deterministic machines are automata machines which
have start and end point and various steps in between and options to jump from
one stage to another. As they are deterministic, the set of rules prescribes at most one action to be performed for any given situation.
A deterministic automata can be formally defined as a 6-tuple ,M=(q,E,I,U,A,K) where
A deterministic Turing machine follows a single path of computation based on its input, while a non-deterministic Turing machine can explore multiple paths simultaneously. This allows non-deterministic machines to potentially solve problems faster, but their solutions may not always be correct. Deterministic machines are more reliable but may take longer to solve certain problems.
DFA - Deterministic Finite Automata NFA - Non-Deterministic Finite Automata Both DFAs and NFAs are abstract machines which can be used to describe languages.
In general, finite state machines can model regular grammars. Deterministic finite automata can represent deterministic context-free grammars. Non-deterministic finite automata can represent context-free grammars.
In computer science, deterministic algorithm is an algorithm which, given a particular input, always produces the same result. This is used to increase the efficiency of machines.
A deterministic Turing machine follows a single path of computation based on the input, while a non-deterministic Turing machine can explore multiple paths simultaneously. This means that non-deterministic machines have the potential to solve problems faster, but determining the correct path can be more complex.
Deterministic and non-deterministic loops A deterministic loop is predictable. The number of iterations of such a loop are known in advance, even before the loop has started. Most counting loops are deterministic. Before they start, we can say how many times they will execute. A non-deterministic loop is not easily predicted. A loop that is driven by the response of a user is not deterministic, because we cannot predict the response of the user. Non-deterministic loops usually are controlled by a boolean and the number of iterations is not known in advance.
A deterministic algorithm is a step-by-step procedure that always produces the same output for a given input. It follows a predictable sequence of steps to solve a problem. On the other hand, a non-deterministic algorithm may produce different outputs for the same input due to randomness or non-deterministic choices made during its execution. This makes non-deterministic algorithms harder to predict and analyze compared to deterministic algorithms.
Algorithm is deterministic if for a given input the output generated is same for a function. A mathematical function is deterministic. Hence the state is known at every step of the algorithm.Algorithm is non deterministic if there are more than one path the algorithm can take. Due to this, one cannot determine the next state of the machine running the algorithm. Example would be a random function.FYI,Non deterministic machines that can't solve problems in polynomial time are NP. Hence finding a solution to an NP problem is hard but verifying it can be done in polynomial time. Hope this helps.Pl correct me if I am wrong here.Thank you.Sharada
non-deterministic means not predicable, hence non-deterministic finalization means the finalization (removing objects from memory) cannot be determined when that will happen
Deterministic systems in which the output can be predicted with 100 percent certainty
No, not every deterministic context-free language is regular. While regular languages are a subset of deterministic context-free languages, there are deterministic context-free languages that are not regular. This is because deterministic context-free languages can include more complex structures that cannot be captured by regular expressions.
What type of technologies that used deterministic MAC protocol?