Research Topic · Peer-Reviewed

Vector Spaces

Vector spaces are mathematical structures consisting of elements, called vectors, which can be added together and multiplied (scaled) by a number. Vector spaces are used in a variety of fields such as physics, engineering, and mathematics. They can be used to represent physical quantities, such as force or velocity,…

📚 0 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Vector spaces are mathematical structures consisting of elements, called vectors, which can be added together and multiplied (scaled) by a number. Vector spaces are used in a variety of fields such as physics, engineering, and mathematics. They can be used to represent physical quantities, such as force or velocity, as well as abstract concepts like images or texts. Vector spaces are used in machine learning, data analysis, and computer vision to help computers identify patterns or recognize objects. They are also used to store and manipulate data in a variety of ways, such as performing arithmetic operations or finding correlations between data points. Vector spaces are a powerful tool for understanding and manipulating data, and thus have a wide range of applications.

Research published in this journal

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Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.