conic optimization
[ˈkɒnɪk ˌɒptɪmaɪˈzeɪʃən]
nounpl: conic optimizations
otimização cônica
1. A branch of mathematical optimization concerned with minimizing or maximizing a linear or convex objective function subject to constraints that involve conic sets (such as semidefinite cones, second-order cones, or exponential cones)
Conic optimization is widely used in machine learning and control theory to solve problems efficiently.
A otimização cônica é amplamente utilizada em aprendizado de máquina e teoria de controle para resolver problemas de forma eficiente.
2. A computational framework for formulating and solving optimization problems where both the objective function and constraints can be expressed as conic programs
The portfolio optimization problem can be reformulated as a conic optimization problem.
O problema de otimização de portfólio pode ser reformulado como um problema de otimização cônica.
Conic optimization is primarily a technical term used in academic and professional contexts within mathematics, engineering, computer science, and operations research. It is not subject to regional variations beyond standard spelling differences between Brazilian Portuguese (cônica) and European Portuguese (cónica). The term is used identically across English-speaking countries and is particularly prominent in research institutions and technology companies dealing with advanced optimization problems.
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