- David Ek, Anders Forsgren:
A structured modified Newton approach for solving systems of nonlinear equations arising in interior-point methods for quadratic programming. Comput. Optim. Appl. 86(1): 1-48 (2023) - Tibor Illés, Petra Renáta Rigó, Roland Török:
Large-step predictor-corrector interior point method for sufficient linear complementarity problems based on the algebraic equivalent transformation. EURO J. Comput. Optim. 11: 100072 (2023) - Zeguan Wu, Mohammadhossein Mohammadisiahroudi, Brandon Augustino, Xiu Yang, Tamás Terlaky:
An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. Entropy 25(2): 330 (2023) - Stefano Cipolla, Jacek Gondzio:
Proximal Stabilized Interior Point Methods and Low-Frequency-Update Preconditioning Techniques. J. Optim. Theory Appl. 197(3): 1061-1103 (2023) - Behrouz Kheirfam:
Corrector-Predictor Interior-Point Method With New Search Direction for Semidefinite Optimization. J. Sci. Comput. 95(1): 10 (2023) - Frank Permenter:
Log-domain interior-point methods for convex quadratic programming. Optim. Lett. 17(7): 1613-1631 (2023) - Jianbin Wang, Jianhua Yuan, Wenbao Ai:
A step-truncated method in a wide neighborhood interior-point algorithm for linear programming. Optim. Lett. 17(6): 1455-1468 (2023) - Samir Adly, Mounir Haddou, Manh Hung Le:
Interior point methods for solving Pareto eigenvalue complementarity problems. Optim. Methods Softw. 38(3): 543-569 (2023) - Cosmin G. Petra, Miguel A. Salazar de Troya, Noemi Petra, Youngsoo Choi, Geoffrey M. Oxberry, Daniel A. Tortorelli:
On the implementation of a quasi-Newton interior-point method for PDE-constrained optimization using finite element discretizations. Optim. Methods Softw. 38(1): 59-90 (2023) - Stephen E. Wright:
Direct solution of the normal equations in interior point methods for convex transportation problems. Oper. Res. Lett. 51(5): 469-472 (2023) - Brandon Augustino, Giacomo Nannicini, Tamás Terlaky, Luis F. Zuluaga:
Quantum Interior Point Methods for Semidefinite Optimization. Quantum 7: 1110 (2023) - Mousaab Bouafia, Adnan Yassine:
An efficient multi parametric kernel function for large and small-update methods interior point algorithm for P*(κ)-horizontal linear complementarity problem. RAIRO Oper. Res. 57(3): 1599-1616 (2023) - Paul Malisani:
Interior Point Methods in Optimal Control Problems of Affine Systems: Convergence Results and Solving Algorithms. SIAM J. Control. Optim. 61(6): 3390-3414 (2023) - Janith Wijesinghe, Pengwen Chen:
Matrix Balancing Based Interior Point Methods for Point Set Matching Problems. SIAM J. Imaging Sci. 16(3): 1068-1105 (2023) - Frank Permenter:
A Geodesic Interior-Point Method for Linear Optimization over Symmetric Cones. SIAM J. Optim. 33(2): 1006-1034 (2023) - Filippo Zanetti, Jacek Gondzio:
A New Stopping Criterion for Krylov Solvers Applied in Interior Point Methods. SIAM J. Sci. Comput. 45(2): 703- (2023) - Ziyou Zhang, Qianchuan Zhao, Fa-An Dai:
A Warm-Start Strategy in Interior Point Methods for Shrinking Horizon Model Predictive Control With Variable Discretization Step. IEEE Trans. Autom. Control. 68(6): 3830-3837 (2023) - Ting-Jui Wong, Pei-Yun Tsai:
Real-Time Processing for Weighted Pulse Decomposition of Photoplethysmography Signals Based on Interior Point Method in Wearable Devices for Hemodynamic State. APSIPA ASC 2023: 217-221 - Hiroshi Hirai, Harold Nieuwboer, Michael Walter:
Interior-point methods on manifolds: theory and applications. FOCS 2023: 2021-2030 - S. Cliff Liu, Zhao Song, Hengjie Zhang, Lichen Zhang, Tianyi Zhou:
Space-Efficient Interior Point Method, with Applications to Linear Programming and Maximum Weight Bipartite Matching. ICALP 2023: 88:1-88:14 - Tong Yang, Michael I. Jordan, Tatjana Chavdarova:
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method. ICLR 2023 - Anas Abdelkarim, Yanzhao Jia, Daniel Görges:
An Accelerated Interior-Point Method for Convex Optimization Leveraging Backtracking Mitigation. IECON 2023: 1-6 - Jan van den Brand, Yang P. Liu, Aaron Sidford:
Dynamic Maxflow via Dynamic Interior Point Methods. STOC 2023: 1215-1228 - Adrian Vladu:
Interior Point Methods with a Gradient Oracle. STOC 2023: 1876-1889 - Einosuke Iida, Makoto Yamashita:
An infeasible interior-point arc-search method with Nesterov's restarting strategy for linear programming problems. CoRR abs/2303.01666 (2023) - Zhiyuan Bao, Zechun Hu, Asad Mujeeb:
DC-based Security Constraints Formulation: A Perspective of Primal-Dual Interior Point Method. CoRR abs/2303.01810 (2023) - Hiroshi Hirai, Harold Nieuwboer, Michael Walter:
Interior-point methods on manifolds: theory and applications. CoRR abs/2303.04771 (2023) - Adrian Vladu:
Interior Point Methods with a Gradient Oracle. CoRR abs/2304.04550 (2023) - Nathan D. King, Haozhe Su, Mridul Aanjaneya, Steven J. Ruuth, Christopher Batty:
A Closest Point Method for Surface PDEs with Interior Boundary Conditions for Geometry Processing. CoRR abs/2305.04711 (2023) - Alexander Engelmann, Michael Kaupmann, Timm Faulwasser:
Distributed Interior Point Methods for Optimization in Energy Networks. CoRR abs/2307.03040 (2023)