What is non-deterministic algorithm?

What is non-deterministic algorithm?

In computer programming, a nondeterministic algorithm is an algorithm that, even for the same input, can exhibit different behaviors on different runs, as opposed to a deterministic algorithm. A concurrent algorithm can perform differently on different runs due to a race condition.

What is non-deterministic algorithm example?

One example of a non-deterministic algorithm is the execution of concurrent algorithms with race conditions, which can exhibit different outputs on different runs. A non-deterministic algorithm is capable of execution on a deterministic computer which has an unlimited number of parallel processors.

What is non-deterministic analysis?

Nondeterminism means that the path of execution isn’t fully determined by the specification of the computation, so the same input can produce different outcomes, while deterministic execution is guaranteed to be the same, given the same input.

Is PCA a deterministic algorithm?

PCA is a deterministic algorithm which doesn’t have parameters to initialize and it doesn’t have local minima problem like most of the machine learning algorithms has.

Is K-means a deterministic algorithm?

The basic k-means clustering is based on a non-deterministic algorithm. This means that running the algorithm several times on the same data, could give different results.

What are examples of deterministic algorithm?

A deterministic algorithm is simply an algorithm that has a predefined output. For instance if you are sorting elements that are strictly ordered(no equal elements) the output is well defined and so the algorithm is deterministic. In fact most of the computer algorithms are deterministic.

Is K means a deterministic algorithm?

What is the difference between deterministic and non-deterministic?

In deterministic algorithm, for a given particular input, the computer will always produce the same output going through the same states but in case of non-deterministic algorithm, for the same input, the compiler may produce different output in different runs.

Why K-Means is non-deterministic?

The non-deterministic nature of K-Means is due to its random selection of data points as initial centroids. The key idea of the algorithm is to select data points which belong to dense regions and which are adequately separated in feature space as the initial centroids.

How do deterministic algorithms work?

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.

What are the benefits of non determinism?

In algorithm design, nondeterministic algorithms are often used when the problem solved by the algorithm inherently allows multiple outcomes (or when there is a single outcome with multiple paths by which the outcome may be discovered, each equally preferable).

Can a non deterministic algorithm solve a polynomial time problem?

In fact non-deterministic algorithms can’t solve the problem in polynomial time and can’t determine what is the next step. The non-deterministic algorithms can show different behaviors for the same input on different execution and there is a degree of randomness to it.

Which is a feature of a non deterministic algorithm?

Unlike a deterministic algorithm which travels a single path from input to output, a non-deterministic algorithm can take many paths, with some arriving at the same outputs, and others arriving at different outputs. This feature is mathematically used in non-deterministic computation models like non-deterministic finite automaton.

How to implement a non deterministic algorithm in Prolog?

To implement a non-deterministic algorithm, we have a couple of languages like Prolog but these don’t have standard programming language operators and these operators are not a part of any standard programming languages. Some of the terms related to the non-deterministic algorithm are defined below:

How are parallel algorithms non deterministic in ties?

Some parallel algorithms are non-deterministic in ties. You can perform some kind of merge-sort into a master list (possibly a hybrid with parallel sub-sorts before the merge). On a multi-processor architecture it may not be determined by the input order where entries that are equal in the relevant comparison end up.