IMPROVED PROJECTED GRADIENT ALGORITHMS FOR SINGLY LINEARLY CONSTRAINED QUADRATIC PROGRAMS SUBJECT TO LOWER AND UPPER BOUNDS
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Publication:3560109
DOI10.1142/S0217595910002594zbMath1186.90084OpenAlexW2031586484MaRDI QIDQ3560109
Publication date: 19 May 2010
Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0217595910002594
support vector machine (SVM)adaptive steepest descent step-sizeDai-Yuan step-sizemonotone projected gradient algorithmprojection subproblem
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Cites Work
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- A polynomially bounded algorithm for a singly constrained quadratic program
- Inexact spectral projected gradient methods on convex sets
- Nonmonotone Spectral Projected Gradient Methods on Convex Sets
- Validation of subgradient optimization
- Gradient projection methods for quadratic programs and applications in training support vector machines
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