A DECOMPOSITION ALGORITHM FOR TWO-STAGE STOCHASTIC PROGRAMS WITH NONCONVEX RECOURSE FUNCTIONS. [PDF]
Li H, Cui Y.
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A radial basis function method for noisy global optimisation. [PDF]
Banholzer D, Fliege J, Werner R.
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A convergent relaxation of the Douglas-Rachford algorithm. [PDF]
Thao NH.
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Trust Region Affine Scaling Algorithms for Linearly Constrained Convex and Concave Programs
We study a trust region affine scaling algorithm for solving the linearly constrained convex or concave programming problem. Under primal nondegeneracy assumption, we prove that every accumulation point of the sequence generated by the algorithm ...
Yanhui Wang, Renato D.C. Monteiro
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A conjugate gradient algorithm for large-scale unconstrained optimization problems and nonlinear equations. [PDF]
Yuan G, Hu W.
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A Support Based Algorithm for Optimization with Eigenvalue Constraints
Optimization of convex functions subject to eigenvalue constraints is intriguing because of peculiar analytical properties of eigenvalues, and is of practical interest because of wide range of applications in fields such as structural design and control ...
Emre Mengi
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Rigorous packing of unit squares into a circle. [PDF]
Montanher T +4 more
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Global Optimization by Multilevel Coordinate Search
. Inspired by a method by Jones et al. (1993), we present a global optimization algorithm based on multilevel coordinate search. It is guaranteed to converge if the function is continuous in the neighborhood of a global minimizer.
Waltraud Huyer, Arnold Neumaier
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A modified three-term PRP conjugate gradient algorithm for optimization models. [PDF]
Wu Y.
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Global solutions to nonconvex optimization of 4th-order polynomial and log-sum-exp functions
This paper presents a canonical dual approach for solving a nonconvex global op-timization problem governed by a sum of fourth-order polynomial and a log-sum-exp function. Such a problem arises extensively in engineering and sciences.
Yi Chen, David Y Gao
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