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- Branch and Bound Description: Branch and bound is a design paradigm for algorithms used to solve discrete and combinatorial optimization problems. This approach(...) Read more
- Benders Decomposition Description: Benders decomposition is a mathematical technique used to solve large-scale optimization problems by breaking them down into(...) Read more
- Bilevel Optimization Description: Bilevel optimization is an optimization approach that involves two hierarchical levels of decisions, where the solution of one(...) Read more
- Boolean Optimization Description: Boolean optimization is a technique that focuses on problems where variables can only take two values: true or false, commonly(...) Read more
- Block Coordinate Descent Description: Block Coordinate Descent is an optimization algorithm that seeks to minimize an objective function by iteratively optimizing over(...) Read more
- Best Subset Selection Description: Subset selection is a method in statistical modeling that seeks to identify the optimal set of predictor variables that(...) Read more
- Bifurcation Analysis Description: Bifurcation analysis is a method used in optimization that allows studying how the solutions of a problem change as the parameters(...) Read more
- Bifactorial Design Description: The factorial design is an experimental approach that involves manipulating two or more factors, each with two or more levels, to(...) Read more
- Boundary Layer Description: The 'Boundary Layer' refers to a thin region adjacent to a boundary where the effects of that boundary are felt in optimization(...) Read more
- Bifurcation Diagram Description: The bifurcation diagram is a visual representation that illustrates how a system can split into different states or trajectories as(...) Read more
- Bi-objective Optimization Description: Bilevel optimization is an approach within model optimization that focuses on solving problems involving two objective functions(...) Read more
- Bifactorial ANOVA Description: The factorial ANOVA, or factorial analysis of variance, is a statistical technique that allows for the comparison of means across(...) Read more
- Block Design Description: Block design is an experimental approach that organizes experimental units into groups or blocks, aiming to reduce variability(...) Read more
- Bayesian Optimization Algorithm Description: The Bayesian optimization algorithm is a technique that uses principles of Bayesian statistics to optimize functions that are(...) Read more
- Bayesian decision theory **Description:** Bayesian decision theory is a framework for making decisions based on Bayesian probability. This approach allows(...) Read more
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