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Optimization Science

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Optimization Science

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Research Frontiers in Conic Programming and Interior Point Methods

Theory and implementation of polynomial-time interior point algorithms for semidefinite and second-order cone programs.

Barrier Functions Beyond Logarithmic Scaling
Warm-Starting Interior Point Methods in Dynamic Optimization
Conic Duality and Information-Geometric Convergence
Second-Order Cone Programming at Scale: Sparsity and Structure
Homogeneous Self-Dual Embeddings in Nonconvex Relaxations
Interior Point Methods for Quantum Semidefinite Programming
Predictor-Corrector Dynamics in High-Dimensional Cones
Facial Reduction and Degeneracy in Conic Feasibility
Primal-Dual Interior Point Methods for Hyperbolic Optimization
Infeasibility Detection and Robust Conic Programming

All Optimization Science PhD categories