The supporting hyperplane optimization toolkit for convex MINLP.
Andreas LundellJan KronqvistTapio WesterlundPublished in: J. Glob. Optim. (2022)
Keyphrases
- hyperplane
- quadratic program
- maximum margin
- convex hull
- semi infinite
- mixed integer
- second order cone program
- nonlinear programming
- linear program
- support vector
- data points
- feature space
- input space
- training samples
- principal components
- semidefinite
- convex optimization
- mixed integer nonlinear programming
- support vector machine
- quadratic programming
- optimization problems
- linear constraints
- convex relaxation
- kernel function
- saddle point
- linear programming
- semidefinite programming
- learning algorithm
- principal component analysis
- dimensionality reduction
- globally optimal
- high dimensional data