IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming (Q6498407)

scientific article; zbMATH DE number 7843784

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English	IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming	scientific article; zbMATH DE number 7843784

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instance of

scholarly article

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title

IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming (English)

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Computational Optimization and Applications

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publication date

7 May 2024

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MaRDI profile type

MaRDI publication profile

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cites work

Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization

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Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results

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Practical Optimization

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Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization

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SDPLIB 1.2, a library of semidefinite programming test problems

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A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization

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Local minima and convergence in low-rank semidefinite programming

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Non-interior continuation methods for solving semidefinite complementarity problems

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A primal-dual interior-point method capable of rapidly detecting infeasibility for nonlinear programs

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Benchmarking optimization software with performance profiles.

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Computational experience with a bundle approach for semidefinite cutting plane relaxations of Max-Cut and equipartition

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An Interior-Point Method for Semidefinite Programming

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Extension of smoothing Newton algorithms to solve linear programming over symmetric cones

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Semidefinite Programs: New Search Directions, Smoothing-Type Methods, and Numerical Results

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Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices

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A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations

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Graph partitioning using linear and semidefinite programming

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A globally convergent primal-dual interior-point relaxation method for nonlinear programs

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A primal-dual interior-point relaxation method with global and rapidly local convergence for nonlinear programs

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Tightness of a New and Enhanced Semidefinite Relaxation for MIMO Detection

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Primal--Dual Path-Following Algorithms for Semidefinite Programming

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Polynomial Convergence of Primal-Dual Algorithms for Semidefinite Programming Based on the Monteiro and Zhang Family of Directions

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First- and second-order methods for semidefinite programming

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Implementation of primal-dual methods for semidefinite programming based on Monteiro and Tsuchiya Newton directions and their variants

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Extension of primal-dual interior point algorithms to symmetric cones

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Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones

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A study of search directions in primal-dual interior-point methods for semidefinite programming

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On the Nesterov--Todd Direction in Semidefinite Programming

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On the Implementation and Usage of SDPT3 – A Matlab Software Package for Semidefinite-Quadratic-Linear Programming, Version 4.0

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Alternating direction augmented Lagrangian methods for semidefinite programming

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A Primal-Dual Exterior Point Method for Nonlinear Optimization

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SDPNAL+: a majorized semismooth Newton-CG augmented Lagrangian method for semidefinite programming with nonnegative constraints

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IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming

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On Extending Some Primal--Dual Interior-Point Algorithms From Linear Programming to Semidefinite Programming

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A Newton-CG Augmented Lagrangian Method for Semidefinite Programming

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Chordal decomposition in operator-splitting methods for sparse semidefinite programs

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Identifiers

DOI

10.1007/s10589-024-00558-8

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Mathematics Subject Classification ID

90Cxx

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zbMATH DE Number

7843784

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Sitelinks

Mathematics(1 entry)

mardi Publication:6498407