# What are deterministic and nondeterministic algorithms?

## What are deterministic and nondeterministic algorithms?

The algorithms in which the result of every algorithm is uniquely defined are known as the Deterministic Algorithm. On other hand, the algorithms in which the result of every algorithm is not uniquely defined and result could be random are known as the Non-Deterministic Algorithm.

### What is the meaning of deterministic algorithm?

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 is the meaning of 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 deterministic algorithm example?

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.

What is stochastic algorithm?

Stochastic Optimization Algorithms Stochastic optimization refers to a field of optimization algorithms that explicitly use randomness to find the optima of an objective function, or optimize an objective function that itself has randomness (statistical noise).

## What is the difference between a deterministic algorithm and a randomized algorithm?

One important (and exclusive) distinction one can make is, whether the algorithm is deterministic or randomized. Deterministic algorithms produce on a given input the same results following the same computation steps. Randomization will only affect the order of the internal executions.

### What is a nondeterministic polynomial time algorithm?

In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems. An algorithm solving such a problem in polynomial time is also able to solve any other NP problem in polynomial time.

#### What do you mean by deterministic and nondeterministic loop explain the concept with example?

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.

What is known as nondeterministic stage?

A non-deterministic algorithm usually has two phases and output steps. The first phase is the guessing phase, which makes use of arbitrary characters to run the problem. The second phase is the verifying phase, which returns true or false for the chosen string.

What is stochastic and deterministic?

Stochastic modeling presents data and predicts outcomes that account for certain levels of unpredictability or randomness. The opposite of stochastic modeling is deterministic modeling, which gives you the same exact results every time for a particular set of inputs.

## What is the difference between stochastic and deterministic events?

A deterministic system is a system in which no randomness is involved in the development of future states of the system. A stochastic system has a random probability distribution or pattern that may be analysed statistically but may not be predicted precisely.

### What is the need of non-deterministic algorithm give one 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.