Random Numbers & Timed Algorithms | Forum Discussion

In summary, random numbers are used in timed algorithms to add variability and unpredictability. They are generated using mathematical formulas or algorithms and can be either pseudo-random or truly random. Timed algorithms benefit from using random numbers because they can simulate real-world scenarios more accurately, but there may be limitations in accurately representing all scenarios and the computational cost of generating truly random numbers.
  • #1
omaiaa0p
8
0
Hello Everyone,

Im new to this forum and would like to learn more about randomness and probability.

I would like to know how I would be able to develop an algorithm (as a function of time) in order for a specific string of characters be known.

Are there any hints for me to start with?

Thanks
 
Physics news on Phys.org
  • #2
I may have not been clear. If every character in the string is produced in a random manner. What could be a good start to modeling the time to find all the characters as a function of probability?
 

1. What is the purpose of using random numbers in timed algorithms?

Random numbers are used in timed algorithms to introduce an element of unpredictability and variability. This ensures that the algorithm does not produce the same result every time it is run, and allows for a more accurate representation of real-world scenarios.

2. How are random numbers generated in timed algorithms?

Random numbers are typically generated using mathematical formulas or algorithms that produce a sequence of numbers that appear random. These numbers are then used to perform calculations and make decisions within the timed algorithm.

3. What is the difference between pseudo-random and truly random numbers?

Pseudo-random numbers are generated using a deterministic algorithm, meaning that the sequence of numbers can be reproduced if the same algorithm is used. Truly random numbers, on the other hand, are generated using unpredictable natural phenomena such as atmospheric noise or radioactive decay.

4. How do timed algorithms benefit from using random numbers?

Timed algorithms benefit from using random numbers because they can simulate real-world scenarios more accurately. This can lead to more reliable and efficient solutions, especially in complex systems where there are multiple variables at play.

5. Are there any limitations to using random numbers in timed algorithms?

One limitation of using random numbers in timed algorithms is that they may not accurately represent all real-world scenarios. In some cases, specific patterns or sequences of numbers may not occur, leading to biased results. Additionally, generating truly random numbers can be computationally expensive, making it challenging to use them in large-scale applications.

Similar threads

A Concrete examples of randomness in math vs. probability theory
    • Set Theory, Logic, Probability, Statistics
Replies
11
Views
490
I Random variable and elementary events
    • Set Theory, Logic, Probability, Statistics
Replies
9
Views
536
I Random variable vs Random Process
    • Set Theory, Logic, Probability, Statistics
Replies
2
Views
1K
I Sample space, outcome, event, random variable, probability...
    • Set Theory, Logic, Probability, Statistics
Replies
6
Views
1K
I Adding random numbers: Tolerance analysis
    • Set Theory, Logic, Probability, Statistics
Replies
7
Views
328
I Time series and why would we remove seasonality and trend?
    • Set Theory, Logic, Probability, Statistics
Replies
10
Views
931
B How do we interpret a random variable?
    • Set Theory, Logic, Probability, Statistics
Replies
10
Views
1K
I Experiment with gamers, random numbers and entanglement
    • Quantum Physics
Replies
5
Views
1K
MHB Properties of sequence of random numbers and how to generate random numbers?
    • Programming and Computer Science
Replies
1
Views
630
Discussion on Astronomical Prime Numbers and Re-evaluating the Primali
    • General Discussion
Replies
5
Views
409

Hot Threads

Recent Insights

Back
Top