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Elements can be removed from the end of a dynamic array in constant time, as no resizing is required. The number of elements used by the dynamic array contents is its logical size or size, while the size of the underlying array is called the dynamic array's capacity or physical size, which is the maximum possible size without relocating data. [2]
Julia has the vec(A) function as well. In Python NumPy arrays implement the flatten method, [note 1] while in R the desired effect can be achieved via the c() or as.vector() functions. In R, function vec() of package 'ks' allows vectorization and function vech() implemented in both packages 'ks' and 'sn' allows half-vectorization. [2] [3] [4]
In computer programming, initialization or initialisation is the assignment of an initial value for a data object or variable. The manner in which initialization is performed depends on the programming language, as well as the type, storage class, etc., of an object to be initialized.
The Rust standard library defines and implements many widely used custom data types, including core data structures such as Vec, Option, and HashMap, as well as smart pointer types. Rust also provides a way to exclude most of the standard library using the attribute #![no_std] ; this enables applications, such as embedded devices, which want to ...
^e In Rust, the comma (,) at the end of a match arm can be omitted after the last match arm, or after any match arm in which the expression is a block (ends in possibly empty matching brackets {}). Loop statements
In cryptography, an initialization vector (IV) or starting variable [1] is an input to a cryptographic primitive being used to provide the initial state. The IV is typically required to be random or pseudorandom, but sometimes an IV only needs to be unpredictable or unique.
RAII is associated most prominently with C++, where it originated, but also Ada, [3] Vala, [4] and Rust. [5] The technique was developed for exception-safe resource management in C++ [6] during 1984–89, primarily by Bjarne Stroustrup and Andrew Koenig, [7] and the term itself was coined by Stroustrup. [8]
Altszyler and coauthors (2017) studied Word2vec performance in two semantic tests for different corpus size. [29] They found that Word2vec has a steep learning curve, outperforming another word-embedding technique, latent semantic analysis (LSA), when it is trained with medium to large corpus size (more than 10 million words). However, with a ...