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On the Implementation and Usage of SDPT3 – A Matlab Software Package for Semidefinite-Quadratic-Linear Programming, Version 4.0
31/31 checkable references clean · checked 2026-08-09
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
7 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 31 checked references that resolve
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Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results
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Solving Second Order Cone Programming via a Reduced Augmented System Approach
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Complexity of convex optimization using geometry-based measures and a reference point
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Behavioral measures and their correlation with IPM iteration counts on semi-definite programming problems
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Exploiting sparsity in primal-dual interior-point methods for semidefinite programming
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Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices
resolves10.1137/S1052623495293056
Primal--Dual Path-Following Algorithms for Semidefinite Programming
resolves10.1007/PL00011378
Polynomial convergence of primal-dual algorithms for the second-order cone program based on the MZ-family of directions
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Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
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A Note on the Calculation of Step-Lengths in Interior-Point Methods for Semidefinite Programming
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Some New Search Directions for Primal-Dual Interior Point Methods in Semidefinite Programming
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Primal-Dual Path-Following Algorithms for Determinant Maximization Problems With Linear Matrix Inequalities
resolves10.1080/10556789908805762
SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
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Solving Large Scale Semidefinite Programs via an Iterative Solver on the Augmented Systems
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A convergence analysis of the scaling-invariant primal-dual path-following algorithms for second-order cone programming
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Implementation and evaluation of SDPA 6.0 (Semidefinite Programming Algorithm 6.0)
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An O(√nL)-Iteration Homogeneous and Self-Dual Linear Programming Algorithm
The 7 references without a DOI — listed, not checked
no DOI — not checkedDavis, T.A.: CHOLMOD Version 1.0 User Guide. Technical Report, University of Florida, Gainesville, Florida (2005). http://www.cise.ufl.edu/research/sparse/cholmod
no DOI — not checkedDavis, T.A.: UMFPACK Version 4.6 User Guide. Technical Report, University of Florida, Gainesville, Florida (2002). http://www.cise.ufl.edu/research/sparse/umfpack
no DOI — not checkedDuff, I.S.: MA57 – A new code for the solution of sparse symmetric definite and indefinite systems. Technical Report RAL-TR-2002-024, Rutherford Appleton Laboratory, Oxford (2002)
no DOI — not checkedGrant, M., Boyd, S.: Graph implementations for nonsmooth convex programs. In: Blondel, V., Boyd, S., Kimura, H. (eds.) Recent Advances in Learning and Control (a tribute to M. Vidyasagar). Lecture Notes in Control and Information Sciences. Springer, Berlin Heidelberg New York (2008). Software is available at http://cvxr.com/cvx/
no DOI — not checkedHarwell Subroutine Library: http://www.cse.clrc.ac.uk/Activity/HSL (1963)
no DOI — not checkedLöfberg, J.: A Toolbox for Modeling and Optimization in MATLAB. In: Proceedings of the CACSD Conference, Taipei, Taiwan (2004). http://control.ee.ethz.ch/~joloef/yalmip.php
no DOI — not checkedPataki, G., Schmieta, S.: The DIMACS library of mixed semidefinite-quadratic-linear programs. http://dimacs.rutgers.edu/Challenges/Seventh/Instances (1999)
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