Publications related to Interior-point method

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Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Volkan Cevher, Anastasios Kyrillidis

The convex

\ell_1

-regularized

\log\det

divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the

\ell_1

-regularization is nonsmooth, the

\log\det

objective is n ...

2013

Interior-point method

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Estimating the ice thickness of shallow glaciers from surface topography and mass-balance data with a shape optimization algorithm

Intrinsic momentum transport in up–down asymmetric tokamaks

Enhancing statistical performance of data-driven controller tuning via L2-regularization

Local Barycentric Coordinates

Adaptive Penalty-Based Distributed Stochastic Convex Optimization

An Augmented Lagrangian Coordination-Decomposition Algorithm for Solving Distributed Non-Convex Programs

An Augmented Lagrangian Coordination-Decomposition Algorithm for Solving Distributed Non-Convex Programs

A Parametric Non-Convex Decomposition Algorithm for Real-Time and Distributed NMPC

Stability Analysis of a Partitioned Fluid-Structure Thermal Coupling Algorithm

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Intrinsic momentum transport in up–down asymmetric tokamaks

Local Barycentric Coordinates

An Augmented Lagrangian Coordination-Decomposition Algorithm for Solving Distributed Non-Convex Programs

Estimating the ice thickness of shallow glaciers from surface topography and mass-balance data with a shape optimization algorithm

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Adaptive Penalty-Based Distributed Stochastic Convex Optimization

An Augmented Lagrangian Coordination-Decomposition Algorithm for Solving Distributed Non-Convex Programs

A Parametric Non-Convex Decomposition Algorithm for Real-Time and Distributed NMPC

Stability Analysis of a Partitioned Fluid-Structure Thermal Coupling Algorithm

Enhancing statistical performance of data-driven controller tuning via L2-regularization