Stochastic search is Random Systematic Deterministic Feasible only for low dimensional problems

The statement seems to be a mix of terms and not a coherent question. However, I can explain the terms for you:

1. Stochastic Search: This is a search method that uses random variables. It is often used when the search space is very large or complex and deterministic methods are not feasible or efficient.

2. Random: In the context of search methods, random means that the next step in the search is not determined by the current state, but is instead chosen randomly.

3. Systematic: This is the opposite of random. In a systematic search, the next step is determined by a set of rules or an algorithm.

4. Deterministic: This means that the outcome is determined by the initial state and a set of rules or an algorithm. There is no randomness involved.

5. Feasible: In the context of search methods, feasible means that it is possible to find a solution within a reasonable amount of time and with reasonable resources.

As for the statement "only for low dimensional problems", this is not necessarily true. Stochastic search methods can be used for high dimensional problems as well, but they may not be as efficient or effective as other methods. The choice of search method depends on the specific problem and the resources available.