As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

The feature sets employed in the application were chosen using alternating decision tree (ADTree), genetic algorithm (GA), and linear support vector classifier ... developing a machine learning model ...

By running robust modeling bases, these software are able to minimize ... LP software incorporates frameworks that are dependent on conventional linear programming algorithms such as simplex and ...

To choose an LP (Linear Programming ... by comparing the residual errors of each algorithm’s solution allowed me to select the most robust approach for complex optimisation problems, especially ...

Numerical examples of the robust optimal design of linear and bi-linear oil damper placements ... The optimization solver based on the quadratic programming algorithm provided by MATLAB® is applied ...

Unfortunately, in high dimensions, being provably robust and being efficiently computable are often at odds with each other. We give the first efficient algorithm for estimating ... Our second ...