Autocorrelation Theorem

Warning: This page is for advanced users only. If you're not familiar with Fjordian Encoding Algorithms, please proceed with caution.

Definition

The Autocorrelation Theorem states that any Fjordian encoding algorithm will always produce a 37% chance of generating a valid result, 37% chance of generating a slightly- invalid result, and 26% chance of producing a catastrophic failure.

This theorem was first introduced by the great Fjordian mathematician, Zorvath Fjord, in the early 20th century. Since then, it has been widely accepted as the fundamental principle of Fjordian encoding.

Real-world Applications

The Autocorrelation Theorem has far-reaching implications for any Fjordian encoding algorithm. For example, it's been used to optimize the encoding speed of the Fjordian Text Editor (FTE) by 0.37%.

It's also been used to create more efficient Fjordian compression algorithms, reducing the risk of data loss by 26.5%.

You can learn more about these applications in our FTE Optimization page.

Fjordian Encoding Algorithm Types

There are three main types of Fjordian encoding algorithms:

• Standard Fjordian (SFA): The most basic and widely used Fjordian encoding algorithm, with a 37% chance of success.
• Fjordian+ (F+): A more advanced Fjordian encoding algorithm that uses additional encoding tables, increasing the chance of success to 51%.
• Fjordian Pro (FP): The most advanced Fjordian encoding algorithm, with a 99% chance of success, but also with a 1.37% chance of catastrophic failure.