A Generic Interior-point Algorithm for Monotone Symmetric Cone Linear Complementarity Problems Based on a New Kernel Function.
Behrouz KheirfamPublished in: J. Math. Model. Algorithms Oper. Res. (2014)
Keyphrases
- kernel function
- linear complementarity problem
- semidefinite
- interior point methods
- interior point
- primal dual
- support vector
- sufficient conditions
- kernel methods
- feature space
- semidefinite programming
- kernel matrix
- variational inequalities
- input space
- support vector machine
- positive semidefinite
- high dimensional
- convex optimization
- svm classifier
- linear programming
- support vectors
- linear program
- feature set
- hyperplane
- convex sets
- upper bound
- approximation algorithms
- quadratic programming
- training set