A Numerical Implementation of an Interior Point Methods for Linear Programming Based on a New Kernel Function.
Mousaab BouafiaDjamel BenterkiAdnan YassinePublished in: MCO (1) (2015)
Keyphrases
- linear programming
- kernel function
- interior point methods
- linear program
- interior point
- primal dual
- quadratic programming
- semidefinite programming
- support vector
- convex optimization
- support vector machine
- kernel methods
- input space
- kernel matrix
- feature space
- objective function
- support vector regression
- hyperplane
- kernel learning
- computationally intensive
- np hard
- semidefinite
- support vectors
- feature set
- multiple kernel learning
- convergence rate
- high order
- svm classifier
- solving problems
- dynamic programming
- high dimensional
- optimal solution
- machine learning