Large cuts in hypergraphs via energy.
- Published in:
- Mathematical Proceedings of the Cambridge Philosophical Society, 2025, v. 179, n. 1, p. 45, doi. 10.1017/S0305004125000362
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- Publication type:
- Article
Works matching DE "SEMIDEFINITE programming"
Results: 1082
1
2
Exact and Approximation Algorithms for Sparse Principal Component Analysis.
- Published in:
- INFORMS Journal on Computing, 2025, v. 37, n. 3, p. 582, doi. 10.1287/ijoc.2022.0372
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- Publication type:
- Article
3
Matrix discrepancy and the log-rank conjecture.
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- Mathematical Programming, 2025, v. 212, n. 1, p. 567, doi. 10.1007/s10107-024-02117-9
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- Article
4
Stable set polytopes with high lift-and-project ranks for the Lovász–Schrijver SDP operator.
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- Mathematical Programming, 2025, v. 212, n. 1, p. 79, doi. 10.1007/s10107-024-02093-0
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- Publication type:
- Article
5
AN EXPLICIT STEP LENGTH FOR SOLVING AN OPTIMIZATION PROBLEM.
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- Gulf Journal of Mathematics, 2025, v. 19, n. 2, p. 398, doi. 10.56947/gjom.v19i2.2801
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- Article
6
Rank-one matrix completion via high-rank matrices in sum-of-squares relaxations.
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- Journal of Global Optimization, 2025, v. 92, n. 2, p. 321, doi. 10.1007/s10898-025-01478-5
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- Article
7
Norm inequalities related to the arithmetic-geometric mean inequalities for positive semidefinite matrices.
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- Positivity, 2018, v. 22, n. 5, p. 1311, doi. 10.1007/s11117-018-0577-2
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- Article
8
On approximate solutions for robust convex semidefinite optimization problems.
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- Positivity, 2018, v. 22, n. 3, p. 845, doi. 10.1007/s11117-017-0549-y
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- Article
9
Optimality conditions for nonsmooth semidefinite programming via convexificators.
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- Positivity, 2015, v. 19, n. 2, p. 221, doi. 10.1007/s11117-014-0292-6
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- Article
10
Structure methods for solving the nearest correlation matrix problem.
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- Positivity, 2012, v. 16, n. 3, p. 497, doi. 10.1007/s11117-012-0180-x
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- Publication type:
- Article
11
Quadratic convergence of a smoothing Newton method for symmetric cone programming without strict complementarity.
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- Positivity, 2012, v. 16, n. 2, p. 297, doi. 10.1007/s11117-011-0126-8
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- Publication type:
- Article
12
Positivity and conditional positivity of Loewner matrices.
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- Positivity, 2010, v. 14, n. 3, p. 421, doi. 10.1007/s11117-009-0027-2
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- Article
13
Compressed sensing: a discrete optimization approach.
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- Machine Learning, 2024, v. 113, n. 9, p. 6725, doi. 10.1007/s10994-024-06577-0
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- Publication type:
- Article
14
Sparse non Gaussian component analysis by semidefinite programming.
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- Machine Learning, 2013, v. 91, n. 2, p. 211, doi. 10.1007/s10994-013-5331-1
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- Publication type:
- Article
15
Rank‐structured approximation of some Cauchy matrices with sublinear complexity.
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- Numerical Linear Algebra with Applications, 2024, v. 31, n. 1, p. 1, doi. 10.1002/nla.2526
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- Article
16
The analytic connectivity in uniform hypergraphs: Properties and computation.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 2, p. 1, doi. 10.1002/nla.2468
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- Publication type:
- Article
17
Robust quaternion matrix completion with applications to image inpainting.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 4, p. N.PAG, doi. 10.1002/nla.2245
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- Article
18
Finding the extreme Z-eigenvalues of tensors via a sequential semidefinite programming method.
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- Numerical Linear Algebra with Applications, 2013, v. 20, n. 6, p. 972, doi. 10.1002/nla.1884
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- Article
19
Semidefinite relaxation approximation for multivariate bi-quadratic optimization with quadratic constraints.
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- Numerical Linear Algebra with Applications, 2012, v. 19, n. 1, p. 113, doi. 10.1002/nla.781
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- Article
20
Methods for minimax estimation under elementwise covariance uncertainty.
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- Automation & Remote Control, 2016, v. 77, n. 5, p. 817, doi. 10.1134/S0005117916050064
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- Article
21
Minimax estimation methods under ellipsoidal constraints.
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- Automation & Remote Control, 2013, v. 74, n. 4, p. 642, doi. 10.1134/S0005117913040073
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- Publication type:
- Article
22
An admissible dual internal point method for a linear semidefinite programming problem.
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- Automation & Remote Control, 2012, v. 73, n. 2, p. 232, doi. 10.1134/S0005117912020038
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- Publication type:
- Article
23
SEMIDEFINITE PROGRAMMING APPROXIMATION FOR A MATRIX OPTIMIZATION PROBLEM OVER AN UNCERTAIN LINEAR SYSTEM.
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- Journal of Nonlinear & Variational Analysis, 2024, v. 8, n. 6, p. 831, doi. 10.23952/jnva.8.2024.6.02
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- Article
24
The Euclidean distortion of generalized polygons.
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- Advances in Geometry, 2015, v. 15, n. 4, p. 499, doi. 10.1515/advgeom-2015-0023
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- Article
25
Computing secure key rates for quantum cryptography with untrusted devices.
- Published in:
- NPJ Quantum Information, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41534-021-00494-z
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- Publication type:
- Article
26
A SYNCHRONOUS NPA HIERARCHY WITH APPLICATIONS.
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- Operators & Matrices, 2023, v. 17, n. 4, p. 901, doi. 10.7153/oam-2023-17-60
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- Article
27
Mathematical modeling of forced oscillations of semidefinite vibro-impact system sliding along rough horizontal surface.
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- Vibroengineering Procedia, 2021, v. 39, p. 164, doi. 10.21595/vp.2021.22298
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- Publication type:
- Article
28
Superlinear convergence of an interior point algorithm on linear semi-definite feasibility problems.
- Published in:
- Optimization Methods & Software, 2025, v. 40, n. 2, p. 287, doi. 10.1080/10556788.2024.2400705
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- Publication type:
- Article
29
Loraine – an interior-point solver for low-rank semidefinite programming.
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- Optimization Methods & Software, 2024, v. 39, n. 6, p. 1185, doi. 10.1080/10556788.2023.2250522
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- Publication type:
- Article
30
Convergence rate analysis of the gradient descent–ascent method for convex–concave saddle-point problems.
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- Optimization Methods & Software, 2024, v. 39, n. 5, p. 967, doi. 10.1080/10556788.2024.2360040
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- Publication type:
- Article
31
Generating linear, semidefinite, and second-order cone optimization problems for numerical experiments.
- Published in:
- Optimization Methods & Software, 2024, v. 39, n. 4, p. 725, doi. 10.1080/10556788.2024.2308677
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- Publication type:
- Article
32
An equivalent nonlinear optimization model with triangular low-rank factorization for semidefinite programs.
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- Optimization Methods & Software, 2023, v. 38, n. 6, p. 1296, doi. 10.1080/10556788.2023.2222434
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- Article
33
Distributionally robust expected residual minimization for stochastic variational inequality problems.
- Published in:
- Optimization Methods & Software, 2023, v. 38, n. 4, p. 756, doi. 10.1080/10556788.2023.2167995
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- Publication type:
- Article
34
Using general triangle inequalities within quadratic convex reformulation method.
- Published in:
- Optimization Methods & Software, 2023, v. 38, n. 3, p. 626, doi. 10.1080/10556788.2022.2157002
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- Publication type:
- Article
35
A stochastic approximation method for convex programming with many semidefinite constraints.
- Published in:
- Optimization Methods & Software, 2023, v. 38, n. 1, p. 34, doi. 10.1080/10556788.2022.2091563
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- Publication type:
- Article
36
Convergence to a second-order critical point by a primal-dual interior point trust-region method for nonlinear semidefinite programming.
- Published in:
- Optimization Methods & Software, 2022, v. 37, n. 6, p. 2190, doi. 10.1080/10556788.2022.2060973
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- Article
37
Jordan symmetry reduction for conic optimization over the doubly nonnegative cone: theory and software.
- Published in:
- Optimization Methods & Software, 2022, v. 37, n. 6, p. 2001, doi. 10.1080/10556788.2021.2022146
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- Publication type:
- Article
38
Exploiting aggregate sparsity in second-order cone relaxations for quadratic constrained quadratic programming problems.
- Published in:
- Optimization Methods & Software, 2022, v. 37, n. 2, p. 753, doi. 10.1080/10556788.2020.1827256
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- Publication type:
- Article
39
Solving SDP completely with an interior point oracle.
- Published in:
- Optimization Methods & Software, 2021, v. 36, n. 2/3, p. 425, doi. 10.1080/10556788.2020.1850720
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- Publication type:
- Article
40
A primal-dual interior point trust-region method for nonlinear semidefinite programming.
- Published in:
- Optimization Methods & Software, 2021, v. 36, n. 2/3, p. 569, doi. 10.1080/10556788.2020.1801678
- By:
- Publication type:
- Article
41
SDPNAL+: A Matlab software for semidefinite programming with bound constraints (version 1.0).
- Published in:
- Optimization Methods & Software, 2020, v. 35, n. 1, p. 87, doi. 10.1080/10556788.2019.1576176
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- Publication type:
- Article
42
A framework for solving mixed-integer semidefinite programs.
- Published in:
- Optimization Methods & Software, 2018, v. 33, n. 3, p. 594, doi. 10.1080/10556788.2017.1322081
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- Publication type:
- Article
43
A low-rank coordinate-descent algorithm for semidefinite programming relaxations of optimal power flow.
- Published in:
- Optimization Methods & Software, 2017, v. 32, n. 4, p. 849, doi. 10.1080/10556788.2017.1288729
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- Publication type:
- Article
44
A primal–dual regularized interior-point method for semidefinite programming.
- Published in:
- Optimization Methods & Software, 2017, v. 32, n. 1, p. 193, doi. 10.1080/10556788.2016.1235708
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- Publication type:
- Article
45
GpoSolver: a Matlab/C++ toolbox for global polynomial optimization.
- Published in:
- Optimization Methods & Software, 2016, v. 31, n. 2, p. 405, doi. 10.1080/10556788.2015.1121489
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- Publication type:
- Article
46
A projected gradient method for optimization over density matrices.
- Published in:
- Optimization Methods & Software, 2016, v. 31, n. 2, p. 328, doi. 10.1080/10556788.2015.1082105
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- Publication type:
- Article
47
Fast implementation for semidefinite programs with positive matrix completion.
- Published in:
- Optimization Methods & Software, 2015, v. 30, n. 5, p. 1030, doi. 10.1080/10556788.2015.1014554
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- Publication type:
- Article
48
Finding graph embeddings by incremental low-rank semidefinite programming.
- Published in:
- Optimization Methods & Software, 2015, v. 30, n. 5, p. 1050, doi. 10.1080/10556788.2015.1014553
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- Publication type:
- Article
49
Gradient methods and conic least-squares problems.
- Published in:
- Optimization Methods & Software, 2015, v. 30, n. 4, p. 769, doi. 10.1080/10556788.2014.990452
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- Publication type:
- Article
50
The spectral bundle method with second-order information.
- Published in:
- Optimization Methods & Software, 2014, v. 29, n. 4, p. 855, doi. 10.1080/10556788.2013.858155
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- Publication type:
- Article