targetmin

Targetmin is a term that appears in optimization and related disciplines, but it does not have a single, universal definition. In practice, it is often used as a shorthand for a desired or required minimum value that an objective or outcome should reach. Because the meaning can vary by context, targetmin is usually interpreted from the surrounding text or the specification of a given problem.

In mathematics and optimization, targetmin commonly refers to a specified minimum value that an objective function should attain. It can serve as a stopping criterion for iterative algorithms (for example, when the current best value matches or comes within a defined tolerance of targetmin) or as a bound that influences the choice of search directions, step sizes, or termination rules. The precise interpretation depends on whether the problem is a minimization or maximization task and on how the target is incorporated into the model.

In software and data science, targetmin may appear as a parameter name or a labeled objective in numerical routines. A routine may be described as attempting to converge to targetmin, or as reporting when the current solution is within a specified tolerance of targetmin. Different libraries and codebases may implement this concept differently, using distinct names or formats.

Because targetmin is not a standardized term, readers should rely on the specific definition provided in the relevant text, code, or documentation. See also target value, minimum, optimization, and stopping criteria.