We present an algorithm for training dual soft margin support vector machines (SVMs) based
on an augmented Lagrangian (AL) that uses a modification of the fast projected gradient …

We present an exterior-point method (EPM) for training dual-soft margin support vector
machines (SVMs). The EPM stems from nonlinear rescaling and augmented Lagrangian …

摘要提出了利用内-外点算法(IEPM) 求解电力系统最优潮流问题. 内点法(IPM)
具有全局收敛性好的优点, 但有时在最优点附近其收敛速度会降低, 而外点法(EPM) …

This study examines the use of a highly effective training method to conduct one-class
classification. The existence of both positive and negative examples in the training data is …

We present an algorithm for training Support Vector Machines (SVM) for classification based
on fast projected gradient, augmented Lagrangian methods and a working set selection …

O problema multiobjetivo de despacho econômico e ambiental é formulado envolvendo a
minimização de dois objetivos conflitantes: custo da geração termoelétrica de energia e a …

In this paper an exterior point polynomial time algorithm for convex quadratic programming
problems is proposed. We convert a convex quadratic program into an unconstrained …

This article presents a novel nonlinear Lagrange algorithm for solving minimax optimization
problems with both inequality and equality constraints, which eliminates the nonsmoothness …

This paper is an attempt to exploit the opportunity of Semi Definite Programming (SDP),
which is an area of convex and conic optimization. Indeed, Numerous NP-hard problems …

We propose two algorithms for solving minimum compliance topology optimization problems
defined on finite element meshes with several million elements, where the design geometry …