Vectorization: meaning, definitions and examples
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vectorization
[ ˌvɛktəraɪˈzeɪʃən ]
mathematics, computing
Vectorization is the process of converting an operation that works on a single element at a time into an operation that works on a vector (or array) of elements simultaneously. This technique is commonly used in computer programming and mathematical computations to improve efficiency and performance.
Synonyms
array processing, matrix transformation, parallelization
Examples of usage
- The vectorization of the algorithm significantly reduced computation time.
- By using vectorization, we can process large data sets much faster.
- Vectorization allows for parallel processing, enhancing performance.
Translations
Translations of the word "vectorization" in other languages:
🇵🇹 vetorização
🇮🇳 वेकेटराइजेशन
🇩🇪 Vektorisierung
🇮🇩 vektorisasi
🇺🇦 векторизація
🇵🇱 wektoryzacja
🇯🇵 ベクトル化
🇫🇷 vectorisation
🇪🇸 vectorización
🇹🇷 vektörleştirme
🇰🇷 벡터화
🇸🇦 توجيه متجه
🇨🇿 vektorizace
🇸🇰 vektorizácia
🇨🇳 向量化
🇸🇮 vektorization
🇮🇸 vettvangssetning
🇰🇿 векторизация
🇬🇪 ვექტორიზაცია
🇦🇿 vektorlaşdırma
🇲🇽 vectorización
Etymology
The term 'vectorization' is derived from the word 'vector', which originates from the Latin word 'vector', meaning 'to carry'. In mathematics, a vector is an entity that has both magnitude and direction, and it is commonly represented as an array of numbers. The transition of the term into computing occurred in the 1970s, as technology began to evolve and the need for processing data in parallel became apparent. Vectorization is now a key concept in programming languages and data science, where efficient handling of large datasets is crucial for performance. Over the years, vectorization methods have expanded within disciplines like linear algebra, statistics, and machine learning, as practitioners seek faster and more efficient ways to manipulate data.