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Creators/Authors contains: "Nicolae, Adriana"

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  1. ; ; ; (, Foundations of computational mathematics)
    Free, publicly-accessible full text available December 31, 2026
  2. ; ; ; (, Advances in Applied Mathematics)
    Free, publicly-accessible full text available April 1, 2026
  3. ; ; (, Journal of convex analysis)
    Free, publicly-accessible full text available February 1, 2026
  4. ; ; ; (, arXiv)
    Free, publicly-accessible full text available December 20, 2025
  5. ; ; (, arXiv)
    Accepted Manuscript Full Text Available
  6. ; ; (, SIAM Journal on Optimization)
    Differentiable structure ensures that many of the basics of classical convex analysis extend naturally from Euclidean space to Riemannian manifolds. Without such structure, however, extensions are more challenging. Nonetheless, in Alexandrov spaces with curvature bounded above (but possibly positive), we develop several basic building blocks. We define subgradients via pro- jection and the normal cone, prove their existence, and relate them to the classical affine minorant property. Then, in what amounts to a simple calculus or duality result, we develop a necessary optimality condition for minimizing the sum of two convex functions. 
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  7. ; ; (, SIAM Journal on Optimization)
    Full Text Available