In convex analysis, a branch of mathematics, the effective domain extends of the domain of a function defined for functions that take values in the extended real number line [ − ∞ , ∞ ] = R ∪ { ± ∞ } . {\displaystyle [-\infty ,\infty ]=\mathbb {R} \cup \{\pm \infty \}.} In convex analysis and variational analysis, a point at which some given extended real-valued function is minimized is typically sought, where such a point is called a global minimum point.
In convex analysis, a branch of mathematics, the effective domain extends of the domain of a function defined for functions that take values in the extended real number line [ − ∞ , ∞ ] = R ∪ { ± ∞ } . {\displaystyle [-\infty ,\infty ]=\mathbb {R} \cup \{\pm \infty \}.} In convex analysis and variational analysis, a point at which some given extended real-valued function is minimized is typically sought, where such a point is called a global minimum point.
Source: Wikipedia "Effective domain" · CC BY-SA 4.0
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