boxconstraints
Box constraints refer to a set of limitations or boundaries applied to variables within an optimization problem, ensuring that each variable remains within a specified range. These constraints are commonly used in various fields such as machine learning, operations research, and engineering to define feasible solution spaces.
In optimization, variables are often required to stay within certain limits to reflect real-world conditions. For
Mathematically, a box constraint for a variable \( x \) can be represented as \( x_{\text{min}} \leq x \leq
In machine learning, box constraints are often used in algorithms like Support Vector Machines (SVMs) to control
Overall, box constraints play a crucial role in shaping the solution space of optimization problems, ensuring