Pseudo-Random Number Generator Using Variable Decimal Seed
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating pseudo-random numbers lack efficiency in utilizing variable decimal seeds within state transfer calculations, which limits the quality and quantity of pseudo-random numbers produced.
Innovation Solution
A method involving a state transfer function that uses an initial state and seed, with a variable decimal seed calculated in previous steps, performs multiple cycles of state transfer calculations to generate a series of pseudo-random numbers, expanding the system's state transitions and improving randomness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional state transfer calculation methods are used, then the generation process is simple, but the quality and quantity of pseudo-random numbers are limited
Solution Approach 1:
The patent introduces a variable decimal seed that changes dynamically with each state transfer calculation. Instead of using a fixed seed, the system calculates a new decimal seed based on the previous state and the current random number, making the seed adaptive and dynamic. This dynamic approach increases the complexity of the state transfer calculation while significantly improving the quality and quantity of generated pseudo-random numbers.
Solution Approach 2:
The patent changes the parameter of the seed from a static value to a variable decimal seed that evolves through the calculation process. By introducing a decimal seed component that is calculated from the previous state and updated in each iteration, the system transforms the state transfer calculation into a more complex but higher-quality random number generation process.
2Reliability
If variable decimal seeds are introduced to improve randomness, then the quality of pseudo-random numbers improves, but the calculation complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where the variable decimal seed is calculated based on the previous state and the current random number. The decimal seed from one iteration becomes the basis for the next iteration's calculation, creating a feedback loop that enhances randomness while managing calculation complexity through systematic updates.
Solution Approach 2:
The system performs preliminary calculations to determine the variable decimal seed before using it in the state transfer calculation. By pre-calculating the decimal seed component based on the previous state, the system prepares the necessary randomness enhancement in advance, improving overall reliability while structuring the complexity in a manageable sequence.
3Quantity of substance
If multiple cycles of state transfer calculation are performed, then the quantity of pseudo-random numbers increases, but the processing time increases
Solution Approach 1:
The patent maintains continuous state transfer calculations across multiple cycles without interruption. Each cycle builds upon the previous state, and the variable decimal seed carries forward the randomness accumulation. This continuous action allows efficient generation of large quantities of pseudo-random numbers by avoiding idle periods and maintaining productive computation flow throughout all cycles.
Solution Approach 2:
The system performs preliminary state transfer calculations in each cycle to establish the variable decimal seed before generating the final random number. By preparing the decimal seed component in advance within each cycle, the system optimizes the overall process flow and reduces unnecessary computational delays, enabling efficient generation of large quantities of random numbers.
Data Source
AI summary
A method for generating pseudo-random number is provided. The method includes receiving, by at least one processor, an initial state and a seed; performing, by the at least one processor, at least a cycle of state transfer calculation; and outputting a series of pseudo random numbers. A variable decimal seed is used in at least one step of the at least a cycle of state transfer calculation. The variable decimal seed is calculated in a previous step of the at least a cycle of state transfer calculation.