In computer science, a deterministic algorithm is an algorithm that, given a particular input, will always produce the same output, with the underlying machine always passing through the same sequence of states. Deterministic algorithms are by far the most studied and familiar kind of algorithm, as well as one of the most practical, since they can be run on real machines efficiently.
Formally, a deterministic algorithm computes a mathematical function; a function has a unique value for any input in its domain, and the algorithm is a process that produces this particular value as output.
Deterministic algorithms can be defined in terms of a state machine: a state describes what a machine is doing at a particular instant in time. State machines pass in a discrete manner from one state to another. Just after we enter the input, the machine is in its initial state or start state. If the machine is deterministic, this means that from this point onwards, its current state determines what its next state will be; its course through the set of states is predetermined. Note that a machine can be deterministic and still never stop or finish, and therefore fail to deliver a result.
Examples of particular abstract machines which are deterministic include the deterministic Turing machine and deterministic finite automaton.
A variety of factors can cause an algorithm to behave in a way which is not deterministic, or non-deterministic:
If it uses an external state other than the input, such as user input, a global variable, a hardware timer value, a random value, or stored disk data.
If it operates in a way that is timing-sensitive, for example, if it has multiple processors writing to the same data at the same time. In this case, the precise order in which each processor writes its data will affect the result.
If a hardware error causes its state to change in an unexpected way.
Although real programs are rarely purely deterministic, it is easier for humans as well as other programs to reason about programs that are.
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