unconstrained minimization
[/ʌnkənˈstreɪnd ˌmɪnɪmaɪˈzeɪʃən/]
nounpl: unconstrained minimizations
minimização sem restrições
1. An optimization problem in which one seeks to find the minimum value of an objective function without any constraints on the variables
The gradient descent algorithm is commonly used for unconstrained minimization problems in machine learning.
O algoritmo de descida do gradiente é comumente usado para problemas de minimização sem restrições em aprendizado de máquina.
2. A mathematical procedure to reduce a function to its lowest possible value over the entire domain of its variables
Unconstrained minimization is simpler than constrained minimization because there are no inequality or equality constraints to satisfy.
A minimização sem restrições é mais simples do que a minimização com restrições porque não há restrições de igualdade ou desigualdade a satisfazer.
This is a specialized mathematical and computational term used primarily in academic and professional contexts in both Brazil and the USA. It is part of the standard vocabulary in engineering, computer science, and mathematics disciplines. The term is consistent across both Portuguese-speaking and English-speaking countries, reflecting the universal nature of mathematical nomenclature in scientific communities.
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