Computational efficiency of the simplex embedding method in convex nondifferentiable optimization
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Publication:1644014
DOI10.1134/S0965542518020070zbMath1397.90311OpenAlexW2791670896MaRDI QIDQ1644014
Publication date: 21 June 2018
Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s0965542518020070
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Cites Work
- Using of modified simplex imbeddings method for solving special class of convex non-differentiable optimization problems
- Method of conjugate subgradients with constrained memory
- Newton's method for convex programming and Tschebyscheff approximation
- A modified simplex immersions method with simultaneous introduction of several intersecting planes
- Linear convergence of epsilon-subgradient descent methods for a class of convex functions
- Introduction to Nonsmooth Optimization
- Convergence of conjugate gradient methods with constant stepsizes
- The Cutting-Plane Method for Solving Convex Programs
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- The traveling-salesman problem and minimum spanning trees: Part II
- The Relaxation Method for Linear Inequalities
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- Numerical optimization. Theoretical and practical aspects. Transl. from the French
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