Computational Optimization and Applications
Computing Controllers for Nonlinear Hybrid Systems
HSCC '99 Proceedings of the Second International Workshop on Hybrid Systems: Computation and Control
Semidefinite programming for discrete optimization and matrix completion problems
Discrete Applied Mathematics
Ensuring integrity and service availability in a web-based control laboratory
Real-time system security
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
Optimum Downlink Power Control of a DS-CDMA System via Convex Programming
Journal of VLSI Signal Processing Systems
Convex optimization techniques for fitting sparse Gaussian graphical models
ICML '06 Proceedings of the 23rd international conference on Machine learning
Expectation Consistent Approximate Inference
The Journal of Machine Learning Research
Computation of Minimum-Volume Covering Ellipsoids
Operations Research
On Khachiyan's algorithm for the computation of minimum-volume enclosing ellipsoids
Discrete Applied Mathematics
D-optimal design of a monitoring network for parameter estimation of distributed systems
Journal of Global Optimization
Scale-invariant clustering with minimum volume ellipsoids
Computers and Operations Research
Survey paper: Optimal experimental design and some related control problems
Automatica (Journal of IFAC)
The Journal of Machine Learning Research
Smoothing method for minimizing the sum of the r largest functions
Optimization Methods & Software
Enclosing Machine Learning for Class Description
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Covariance selection for nonchordal graphs via chordal embedding
Optimization Methods & Software - Mathematical programming in data mining and machine learning
Computing c-optimal experimental designs using the simplex method of linear programming
Computational Statistics & Data Analysis
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
Dualize it: software for automatic primal and dual conversions of conic programs
Optimization Methods & Software
Bayesian image reconstruction for improving detection performance of muon tomography
IEEE Transactions on Image Processing
Weighted sum rate optimization for cognitive radio MIMO broadcast channels
IEEE Transactions on Wireless Communications
Cognitive multiple access channels: optimal power allocation for weighted sum rate maximization
IEEE Transactions on Communications
Efficient representation and computation of reachable sets for hybrid systems
HSCC'03 Proceedings of the 6th international conference on Hybrid systems: computation and control
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
IEEE Transactions on Signal Processing
Feedback capacity of stationary Gaussian channels
IEEE Transactions on Information Theory
Multiuser MISO transmitter optimization for intercell interference mitigation
IEEE Transactions on Signal Processing
Tensor sparse coding for region covariances
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Topology Selection in Graphical Models of Autoregressive Processes
The Journal of Machine Learning Research
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
SIAM Journal on Matrix Analysis and Applications
Optimal multiuser zero forcing with per-antenna power constraints for network MIMO coordination
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
Solving Log-Determinant Optimization Problems by a Newton-CG Primal Proximal Point Algorithm
SIAM Journal on Optimization
Alternating Direction Method for Covariance Selection Models
Journal of Scientific Computing
On Stability of Constrained Receding Horizon Control with Finite Terminal Weighting Matrix
Automatica (Journal of IFAC)
Ellipsoidal bounds for uncertain linear equations and dynamical systems
Automatica (Journal of IFAC)
Robust Simulation of Global Warming Policies Using the DICE Model
Management Science
Robust simulatoin of environmental policies using the dice model
Proceedings of the Winter Simulation Conference
Monitoring the covariance matrix with fewer observations than variables
Computational Statistics & Data Analysis
Computing efficient exact designs of experiments using integer quadratic programming
Computational Statistics & Data Analysis
Efficient computational algorithm for optimal allocation in regression models
Journal of Computational and Applied Mathematics
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The problem of maximizing the determinant of a matrix subject to linear matrix inequalities (LMIs) arises in many fields, including computational geometry, statistics, system identification, experiment design, and information and communication theory. It can also be considered as a generalization of the semidefinite programming problem.We give an overview of the applications of the determinant maximization problem, pointing out simple cases where specialized algorithms or analytical solutions are known. We then describe an interior-point method, with a simplified analysis of the worst-case complexity and numerical results that indicate that the method is very efficient, both in theory and in practice. Compared to existing specialized algorithms (where they are available), the interior-point method will generally be slower; the advantage is that it handles a much wider variety of problems.