A New Primal-Dual Interior-Point Algorithm for Convex Quadratic Symmetric Cone Optimization Based on a Parametric Kernel Function.
Guoqiang WangFayan WangPublished in: CSO (2012)
Keyphrases
- interior point algorithm
- kernel function
- primal dual
- linear programming
- interior point methods
- inequality constraints
- semidefinite
- nonlinear programming
- semidefinite programming
- linear program
- convex optimization
- kernel methods
- support vector
- kernel matrix
- convergence rate
- support vector machine
- variational inequalities
- feature space
- high dimensional
- input space
- multicriteria optimization
- optimization problems
- simplex method
- quadratic programming
- approximation algorithms
- hyperplane
- svm classifier
- feature set
- quasiconvex
- support vectors
- denoising
- image processing