I have developed a random number generator and wonder what commercial applications it could have. I am trying to decide if it's worth patenting it. Here is a short description.
Key features
The developed random generator is initialized with an existing data sequence x(t). The generator then generates random data y(t), which has the following characteristics:
The generator could be used for generating random data with any distribution, derivative distribution, etc.
I have attached a couple images with examples:
Several computational methods for random number generation exist. Many fall short of the goal of true randomness — though they may meet, with varying success, some of the statistical tests for randomness intended to measure how unpredictable their results are (that is, to what degree their patterns are discernible). However, carefully designed cryptographically secure computationally based methods of generating random numbers do exist, such as those based on the Yarrow algorithm and the Fortuna (PRNG) and others.
Random number generators have applications in gambling, statistical sampling, computer simulation, cryptography, completely randomized design, and other areas where producing an unpredictable result is desirable.
You are needed to make the statistical test for randomness if the you method is provide a more random result as compare to the previously mentioned algorithams then I think it may find a high application in different areas as mentioned above.I found your results more interesting and i think It will work efficiently .
Thank you for your answer Hammad, I think it helped me better understand what i have developed.
Perhaps it's not accurate to call it a random generator, because it uses other random generator as a source of randomness. So a more precise description would be a "Method for generation of random number sequence with certain distribution and higher properties".
The key feature of this method is that the generated sequence duplicates the characteristics (distributions, level crossings, etc.) of the sequence it was initialized with.
As for whether it passes statistical randomness tests, this would entirely depend on the the random generator, which is used as the source of randomness.
Anyway my question remains the same. What commercial applications could this method have and is it worth patenting?
I am quoting from http://en.wikipedia.org/wiki/Random_number_generation:
Practical applications and uses[edit]
Main article: Applications of randomness
Random number generators have applications in gambling, statistical sampling, computer simulation, cryptography, completely randomized design, and other areas where producing an unpredictable result is desirable.
Note that, in general, where unpredictability is paramount – such as in security applications – hardware generators are generally preferred (where feasible) over pseudo-random algorithms.
Random number generators are very useful in developing Monte Carlo-method simulations, as debugging is facilitated by the ability to run the same sequence of random numbers again by starting from the same random seed. They are also used in cryptography – so long as the seed is secret. Sender and receiver can generate the same set of numbers automatically to use as keys.
The generation of pseudo-random numbers is an important and common task in computer programming. While cryptography and certain numerical algorithms require a very high degree of apparent randomness, many other operations only need a modest amount of unpredictability. Some simple examples might be presenting a user with a "Random Quote of the Day", or determining which way a computer-controlled adversary might move in a computer game. Weaker forms of randomness are used in hash algorithms and in creating amortized searching and sorting algorithms.
Some applications which appear at first sight to be suitable for randomization are in fact not quite so simple. For instance, a system that "randomly" selects music tracks for a background music system must only appear random, and may even have ways to control the selection of music: a true random system would have no restriction on the same item appearing two or three times in succession.
Thank you for your answer Costas, I know what's written on wikipedia. My question was more like "who would want to buy this and for what purpose" and that's what i have found out so far. This method/generator could be used in any kind of simulations for generating random data with certain properties. For example:
1. for simulation of noise influence on electronic equipment;
2. for generating unlimited amount of random data with certain properties when there is a limited amount of experimental data;
3. for generating data with certain level crossings/peaks to be used in simulation of communication networks.
Make your device public, and the people that are interested will come automatically, if your device have to offer a substantial new way.
I will soon. That's why i am trying to collect information in order to decide what would be the best way of doing that.