Negafibonacci coding: Difference between revisions

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In [[mathematics]], '''negafibonacci coding''' is a [[universal code (data compression)|universal code]] which encodes nonzero integers into binary [[Code word (communication)|code word]]s. It is similar to [[Fibonacci coding]], except that it allows both positive and negative integers to be represented. All codes end with "11" and have no "11" before the end.

== Encoding method ==

{{How to|section|date=September 2022}}

To encode a nonzero integer ''X'':

The following steps describe how to encode a nonzero integer <math> x </math>. Note that <math> f </math> denotes the Negafibonacci sequence.

# Calculate the largest (or smallest) encodeable number with ''N'' bits by summing the odd (or even) negafibonacci numbers from 1 to ''N''.

# When it is determined that ''N'' bits is just enough to contain ''X'', subtract the ''Nth'' negafibonacci number from ''X'', keeping track of the remainder, and put a one in the ''Nth'' bit of the output.

# Working downward from the ''Nth'' bit to the first one, compare each of the corresponding negafibonacci numbers to the remainder. Subtract it from the remainder if the absolute value of the difference is less, AND if the next higher bit does not already have a one in it. A one is placed in the appropriate bit if the subtraction is made, or a zero if not.

# Put a one in the ''N+1th'' bit to finish.

# If <math> x </math> is positive, compute the greatest odd negative integer <math> n </math> such that the sum of the odd negative terms of the Negafibonacci sequence from −1 to <math> n </math> with a step of −2, is greater than or equal to <math> x </math>: <br /> <math> n \in \{ - \left( 2k + 1 \right) , k \in [0, \infty [ \} , \quad \sum_{i=-1, \; i \; odd}^{n-2} f(i) < x \leq \sum_{i=-1, \; i \; odd}^{n} f(i). </math> <br /> If <math> x </math> is negative, compute the greatest even negative integer <math> n </math> such that the sum of the even negative terms of the Negafibonacci sequence from 0 to <math> n </math> with a step of −2, is less than or equal to <math> x </math>: <br /> <math> n \in \{ - 2k , k \in [2, \infty [ \} , \quad \sum_{i=-2, \; i \; even}^{n-2} f(i) > x \geq \sum_{i=-2, \; i \; even}^{n} f(i) </math>

To decode a token in the code, remove the last "1", assign the remaining bits the values 1, −1, 2, −3, 5, −8, 13… (the negafibonacci numbers), and add the "1" bits.

# Add a 1 at the <math> |n|^{\text{th}} </math> bit of the binary word. Subtract <math> f(n) </math> from <math> x </math>.

# Repeat the process from step 1 with the new value of ''x'', until it reaches 0.

# Add a 1 on the left of the resulting binary word to finish the encoding.

To decode an encoded binary word, remove the leftmost 1 from the binary word, since it is used only to denote the end of the encoded number. Then assign the remaining bits the values of the Negafibonacci sequence from −1 (1, −1, 2, −3, 5, −8, 13...), and sum the all the values associated with a 1.

== Negafibonacci representation ==

<!--[[Negafibonacci representation redirects here; please update the redirect if this section is retitled, split, or moved.-->

{{numeral systems}}

Negafibonacci coding is closely related to '''negafibonacci representation''', a positional [[numeral system]] sometimes used by mathematicians. The negafibonacci code for a particular nonzero integer is exactly that of the integer's negafibonacci representation, except with the order of its digits reversed and an additional "1" appended to the end. The negafibonacci code for all negative numbers has an odd number of digits, while those of all positive numbers have an even number of digits.

== Table ==

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== References ==

{{No footnotes|date=2018September 2022}}

{{Reflist}}

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{{Refbegin}}

* {{Cite conference |last=Knuth |first=Donald |year=2008 |title=Negafibonacci Numbers and the Hyperbolic Plane |conference=Annual meeting of the Mathematical Association of America |___location=San Jose, California}}

* {{Cite book |last=Knuth |first=Donald |title=[[The Art of Computer Programming]], Volume 4, Fascicle 1: Bitwise Tricks & Techniques; Binary Decision Diagrams |year=2009 |publisher=Addison-Wesley |isbn=978-0-321-58050-4}} In the [https://www-cs-faculty.stanford.edu/~uno/fasc1a.ps.gz pre-publication draft of section 7.1.3] see in particular pp. &nbsp;36–39.

* {{Cite book |last=Margenstern |first=Maurice |url=https://books.google.com/books?id=eEgvfic3A4kC&pg=PA79 |title=Cellular Automata in Hyperbolic Spaces |publisher=Archives contemporaines |year=2008 |isbn=9782914610834 |series=Advances in unconventional computing and cellular automata |volume=2 |page=79}}

{{Refend}}

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[[Category:Lossless compression algorithms]]

[[Category:Fibonacci numbers]]

[[Category:Data compression]]

[[fr:Codage de Fibonacci]]