https://arxiv.org/abs/1908.01606
[1908.01606] Accuracy of approximate projection to the semidefinite cone
Abstract page for arXiv paper 1908.01606: Accuracy of approximate projection to the semidefinite cone
to the190801606accuracyapproximate
https://arxiv.org/abs/1205.2040v2
[1205.2040v2] Forbidden minor characterizations for low-rank optimal solutions to semidefinite...
Abstract page for arXiv paper 1205.2040v2: Forbidden minor characterizations for low-rank optimal solutions to semidefinite programs over the elliptope
forbidden minor
https://arxiv.org/abs/2002.05801v1
[2002.05801v1] Semidefinite tests for quantum network topologies
Abstract page for arXiv paper 2002.05801v1: Semidefinite tests for quantum network topologies
quantum network2002semidefiniteteststopologies
https://arxiv.org/abs/1708.01690
[1708.01690] Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained...
Abstract page for arXiv paper 1708.01690: Efficient Rank Minimization to Tighten Semidefinite Programming for Unconstrained Binary Quadratic Optimization
semidefinite programming170801690efficientrank
https://arxiv.org/abs/1602.05409
[1602.05409] Lasserre Lower Bounds and Definability of Semidefinite Programming
Abstract page for arXiv paper 1602.05409: Lasserre Lower Bounds and Definability of Semidefinite Programming
lower bounds160205409lasserredefinability
https://edubirdie.com/docs/massachusetts-institute-of-technology/15-084j-nonlinear-programming/88087-introduction-to-semidefinite-programming-sdp
An Introduction to Semidefinite Programming: Theory, Algorithms, and Applications | Massachusetts...
Explore this An Introduction to Semidefinite Programming: Theory, Algorithms, and Applications to get exam ready in less time!
an introduction tosemidefinite programmingtheoryalgorithmsapplications
https://www.ub.edu/ubtv/index.php/video/completely-positive-semidefinite-matrices
Completely Positive Semidefinite Matrices: Conic Approximations and Matrix Factorization Ranks |...
completely positivematrix factorizationsemidefinitematricesconic
https://openreview.net/forum?id=aOqkfUCbVl
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data | OpenReview
Clustering is a widely deployed unsupervised learning tool. Model-based clustering is a flexible framework to tackle data heterogeneity when the clusters have...
semidefinite programslikelihoodadjustedclusteringheterogeneous
https://stanford.edu/~boyd/papers/sdp-apps.html
Applications of Semidefinite Programming
applicationssemidefiniteprogramming
https://arxiv.org/abs/0806.4721
[0806.4721] First Order Conditions for Semidefinite Representations of Convex Sets Defined by...
Abstract page for arXiv paper 0806.4721: First Order Conditions for Semidefinite Representations of Convex Sets Defined by Rational or Singular Polynomials
first order conditions
https://stanford.edu/~boyd/papers/induc_motor.html
Maximum Torque-per-Current Waveform Design for Induction Motors via Semidefinite Programming
maximum torque
https://arxiv.org/abs/1710.04287
[1710.04287] On the local stability of semidefinite relaxations
Abstract page for arXiv paper 1710.04287: On the local stability of semidefinite relaxations
on thelocal stability171004287semidefinite
https://uwaterloo.ca/bioinformatics-group/references/determining-protein-structures-noesy-distance-constraints
Determining protein structures from NOESY distance constraints by semidefinite programming |...
protein structuresnoesydistanceconstraintssemidefinite
https://arxiv.org/abs/2602.01794
[2602.01794] Semidefinite programming for understanding limitations of Lindblad equations
Abstract page for arXiv paper 2602.01794: Semidefinite programming for understanding limitations of Lindblad equations
semidefinite programming260201794understandinglimitations
https://arxiv.org/abs/1404.2655
[1404.2655] Open problem: Tightness of maximum likelihood semidefinite relaxations
Abstract page for arXiv paper 1404.2655: Open problem: Tightness of maximum likelihood semidefinite relaxations
open problemmaximum likelihood14042655tightness
https://www.kth.se/sv/math/kalender/mixed-integer-semidefinite-programming-theory-and-algorithms-1.1317253?date=2024-02-22&orgdate=2024-02-13&length=1&orglength=0
Mixed Integer Semidefinite Programming - Theory and Algorithms | KTH
Mixed-integer semidefinite programming can be viewed as a generalization of mixed-integer programming where the vector of variables is replaced by...
theory and algorithmssemidefinite programmingmixedintegerkth
https://www.kth.se/math/kalender/mixed-integer-semidefinite-programming-theory-and-algorithms-1.1317253?date=2024-02-22&orgdate=2024-02-13&length=1&orglength=0
Mixed Integer Semidefinite Programming - Theory and Algorithms | KTH
Mixed-integer semidefinite programming can be viewed as a generalization of mixed-integer programming where the vector of variables is replaced by...
theory and algorithmssemidefinite programmingmixedintegerkth
https://arxiv.org/abs/1904.03483
[1904.03483] SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration...
Abstract page for arXiv paper 1904.03483: SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences
https://arxiv.org/abs/1506.00187
[1506.00187] Four Dimensional Polytopes of Minimum Positive Semidefinite Rank
Abstract page for arXiv paper 1506.00187: Four Dimensional Polytopes of Minimum Positive Semidefinite Rank
four dimensionalpositive semidefinite150600187polytopes
https://arxiv.org/abs/1512.05402
[1512.05402] Optimization over Structured Subsets of Positive Semidefinite Matrices via Column...
Abstract page for arXiv paper 1512.05402: Optimization over Structured Subsets of Positive Semidefinite Matrices via Column Generation
https://arxiv.org/abs/1205.5306
[1205.5306] Polytopes of Minimum Positive Semidefinite Rank
Abstract page for arXiv paper 1205.5306: Polytopes of Minimum Positive Semidefinite Rank
positive semidefinite12055306polytopesminimum
https://openreview.net/forum?id=rM3FFH1mqk
Semidefinite Relaxations of the Gromov-Wasserstein Distance | OpenReview
The Gromov-Wasserstein (GW) distance is an extension of the optimal transport problem that allows one to match objects between incomparable spaces. At its...
of thewasserstein distancesemidefiniterelaxationsgromov
https://arxiv.org/abs/1705.00812
[1705.00812] Semidefinite approximations of the matrix logarithm
Abstract page for arXiv paper 1705.00812: Semidefinite approximations of the matrix logarithm
of the170500812semidefiniteapproximations
https://stanford.edu/~boyd/papers/relaxations.html
Semidefinite Programming Relaxations of Non-Convex Problems in Control and Combinatorial...
semidefinite programmingrelaxationsnon
https://jmlr.org/papers/v26/21-0068.html
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness...
https://arxiv.org/abs/2002.05801v2
[2002.05801v2] Semidefinite tests for quantum network topologies
Abstract page for arXiv paper 2002.05801v2: Semidefinite tests for quantum network topologies
quantum network2002semidefiniteteststopologies
https://arxiv.org/abs/quant-ph/0405008
[quant-ph/0405008] A Robust Semidefinite Programming Approach to the Separability Problem
Abstract page for arXiv paper quant-ph/0405008: A Robust Semidefinite Programming Approach to the Separability Problem
semidefinite programming