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Qu'est-ce (qui) est Variable Length Subnet Masks - définition

INFORMATION THEORY TECHNIQUE FOR ASSIGNING SHORTER ENCODING SEQUENCES TO MORE FREQUENTLY-OCCURRING REPRESENTED ELEMENTS

Uniquely decodable code; Variable length codes; Variable length code; Variable-length codes; Variable-length coding; Variable-length encoding; Variable length coding; Variable length encoding; Variable Length Coding; Uniqely decodable

Variable-length code

In coding theory a variable-length code is a code which maps source symbols to a variable number of bits.

https://en.wikipedia.org/wiki/Variable-length_code

Variable-length array

DATA STRUCTURE IN PROGRAMMING

Variable Length Array; Variable-length arrays; Variable length array; Variably modified type

In computer programming, a variable-length array (VLA), also called variable-sized or runtime-sized, is an array data structure whose length is determined at run time (instead of at compile time).

https://en.wikipedia.org/wiki/Variable-length_array

Variable-length quantity

ENCODING METHOD WHICH CAN BE USED TO ENCODE VARIABLE LENGTH INTEGERS

Variable length unsigned integer; Uintvar; VLQ; Varint; ZigZag encoding; Zigzag encoding

A variable-length quantity (VLQ) is a universal code that uses an arbitrary number of binary octets (eight-bit bytes) to represent an arbitrarily large integer. A VLQ is essentially a base-128 representation of an unsigned integer with the addition of the eighth bit to mark continuation of bytes.

https://en.wikipedia.org/wiki/Variable-length_quantity

Wikipédia

Variable-length code

In coding theory a variable-length code is a code which maps source symbols to a variable number of bits.

Variable-length codes can allow sources to be compressed and decompressed with zero error (lossless data compression) and still be read back symbol by symbol. With the right coding strategy an independent and identically-distributed source may be compressed almost arbitrarily close to its entropy. This is in contrast to fixed length coding methods, for which data compression is only possible for large blocks of data, and any compression beyond the logarithm of the total number of possibilities comes with a finite (though perhaps arbitrarily small) probability of failure.

Some examples of well-known variable-length coding strategies are Huffman coding, Lempel–Ziv coding, arithmetic coding, and context-adaptive variable-length coding.

https://en.wikipedia.org/wiki/Variable-length code