J. Dahl

发表

Maximum likelihood estimation of Gaussian graphical models : Numerical implementation and topology selection

V. Roychowdhury, L. Vandenberghe, J. Dahl, 2009 .

Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones

Joachim Dahl, Martin S. Andersen, Lieven Vandenberghe, 2010, Math. Program. Comput..

Presolving and regularization in mixed-integer second-order cone optimization

Henrik A. Friberg, E. Andersen, J. Dahl, 2016 .

Convex Optimization in Signal Processing and Communications: Graphical models of autoregressive processes

L. Vandenberghe, J. Dahl, J. Songsiri, 2009 .

Maximum-likelihood estimation of multivariate normal graphical models : large-scale numerical implementation and topology selection

V. Roychowdhury, L. Vandenberghe, J. Dahl, 2022 .

An algorithm for nonsymmetric conic optimization inspired by MOSEK

J. Dahl, Riley Badenbroek, 2020, Optim. Methods Softw..

On the robustness and scalability of semidefinite relaxation for optimal power flow problems

Martin S. Andersen, J. Dahl, A. Eltved, 2019, Optimization and Engineering.

Graphical models of autoregressive processes

Lieven Vandenberghe, Joachim Dahl, Jitkomut Songsiri, 2010, Convex Optimization in Signal Processing and Communications.

Estimation and Modeling Problems in Parametric Audio Coding

Lakhmi C. Jain, Julius O. Smith, Mads Græsbøll Christensen, 2005 .

Optimization of signature sequences and receiver filters for downlink DS-CDMA systems

Søren Holdt Jensen, Jakob Stoustrup, Bernard H. Fleury, 2003, IEEE International Conference on Communications, 2003. ICC '03..

A Convex Programming Approach to Anisotropic Smoothing

Søren Holdt Jensen, Per Christian Hansen, Joachim Dahl, 2007, 2007 IEEE International Conference on Image Processing.

Interior-point methods for large-scale cone programming

Zhang Liu, Joachim Dahl, Martin S. Andersen, 2011 .

Algorithms and software for total variation image reconstruction via first-order methods

Søren Holdt Jensen, Per Christian Hansen, Tobias Lindstrøm Jensen, 2009, Numerical Algorithms.

On the robustness and scalability of semidefinite relaxation for optimal power flow problems

Joachim Dahl, Martin S. Andersen, Anders Eltved, 2018, Optimization and Engineering.

Logarithmic barriers for sparse matrix cones

Martin S. Andersen, Lieven Vandenberghe, Joachim Dahl, 2012, Optim. Methods Softw..

A primal-dual interior-point algorithm for nonsymmetric exponential-cone optimization

Erling D. Andersen, Joachim Dahl, E. Andersen, 2021, Mathematical Programming.

Salient properties of a combined minimum fatigue and quadratic musclerecruitment criterion

Michael Damsgaard, John Rasmussen, Mark de Zee, 2009 .

1 Graphical models of autoregressive processes

Lieven Vandenberghe, Joachim Dahl, Jitkomut Songsiri, 2009 .

Covariance selection for nonchordal graphs via chordal embedding

Vwani P. Roychowdhury, Lieven Vandenberghe, Joachim Dahl, 2008, Optim. Methods Softw..

Regression techniques for Portfolio Optimisation using MOSEK

E. Andersen, J. Dahl, Raphael Andreas Hauser, 2013, 1310.3397.

Robust least-squares estimators based on semidefinite programming

L. Vandenberghe, J. Dahl, L. Vandenberghe, 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

Markowitz portfolio optimization using MOSEK. MOSEK Technical report: TR-2009-2

Erling D. Andersen, Joachim Dahl, Henrik Alsing Friberg, 2012 .

Sparse linear predictors for speech processing

Marc Moonen, Søren Holdt Jensen, Mads Græsbøll Christensen, 2008, INTERSPEECH.

Multiple descriptions using sparse decompositions

Søren Holdt Jensen, Jan Østergaard, Tobias Lindstrøm Jensen, 2010, 2010 18th European Signal Processing Conference.

Solving sparse polynomial optimization problems with chordal structure using the sparse bounded-degree sum-of-squares hierarchy

Etienne de Klerk, Joachim Dahl, Ahmadreza Marandi, 2020, Discret. Appl. Math..