ORIE 6365

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST

ORIE 6365
Continuous Optimization: Algorithms and Complexity

Course information provided by the 2025-2026 Catalog.

Graduate course on the theory and algorithms of continuous optimization. Prepares students for research in optimization theory and for developing advanced methods for applications in operations research, machine learning, and related domains. Topics: convexity, smooth and non-smooth problems, duality. Ellipsoid and subgradient methods. Mirror descent and the geometry of optimization problems. Accelerated optimal methods, lower complexity bounds and resisting oracles. Composite problems. Stochastic and large-scale optimization, variance reduction techniques. Second-order algorithms: Newton, quasi-Newton, and interior-point methods. Applications will be drawn from machine learning, semidefinite programming, and large-scale graph optimization.


Prerequisites multivariate calculus and linear algebra.

Last 1 Terms Offered (None)

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 13699 ORIE 6365   LEC 001

  •  
    • MW Upson Hall 102
    • Jan 20 - May 5, 2026

    • Staff

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 13700 ORIE 6365   LEC 030

  •  

  • Instruction Mode: Distance Learning-Synchronous

    Enrollment limited to: Cornell Tech Doctor of Philosophy (PhD) students.