Minimization: meaning, definitions and examples
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minimization
[ ˌmɪnɪmaɪˈzeɪʃən ]
mathematics, optimization
Minimization is the process of reducing a function, a quantity, or a set of values to their lowest possible level or value. In mathematical optimization, it refers to finding the minimum value of a function subject to constraints. This concept is widely used in various fields, including economics, engineering, and computer science.
Synonyms
Examples of usage
- The minimization of costs is essential for the project's success.
- Successful algorithm design often involves the minimization of processing time.
- Minimization techniques can enhance performance in neural networks.
Etymology
The term 'minimization' originates from the Latin word 'minimus', meaning 'smallest' or 'least'. The concept gained prominence in mathematics and economics during the 19th century as scholars began to analyze optimization problems. The formal study of minimization techniques became more established with the development of calculus and mathematical analysis. In the 20th century, the idea of minimization expanded into various fields, including operations research and computer science, leading to the development of algorithms and methods designed specifically for minimizing variables in complex systems. Today, minimization is a fundamental concept used in various disciplines, signifying the pursuit of efficiency and cost-effectiveness in problem-solving.