Results 21 to 30 of about 66,605 (263)
Randomized Simplicial Hessian Update
Mathematics, 2021 Recently, a derivative-free optimization algorithm was proposed that utilizes a minimum Frobenius norm (MFN) Hessian update for estimating the second derivative information, which in turn is used for accelerating the search.
Árpád Bűrmen +2 more
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Mathematics, 2014 A shape optimization method is used to study the exterior Bernoulli free boundaryproblem. We minimize the Kohn–Vogelius-type cost functional over a class of admissibledomains subject to two boundary value problems. The first-order shape derivative of the
Jerico B. Bacani, Gunther Peichl
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Mathematical and Computational Applications, 2021 We present a local trust region descent algorithm for unconstrained and convexly constrained multiobjective optimization problems. It is targeted at heterogeneous and expensive problems, i.e., problems that have at least one objective function that is ...
Manuel Berkemeier, Sebastian Peitz
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Algorithms for Molecular Biology, 2018 Background A profile-comparison method with position-specific scoring matrix (PSSM) is among the most accurate alignment methods. Currently, cosine similarity and correlation coefficients are used as scoring functions of dynamic programming to calculate ...
Kazunori D. Yamada
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Machines, 2023 To improve the motor efficiency and expand the actual external characteristic region of electric vehicle permanent magnet synchronous motor (PMSM) drive systems, the optimal operation of mapping torque to d-q axis current is usually applied. Nevertheless,
Yuanjun Bian +4 more
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Derivative Free Optimal Thrust Allocation in Ship Dynamic Positioning Based on Direct Search Algorithms [PDF]
TransNav, 2020 In dynamic positioning systems, nonlinear cost functions, as well as nonlinear equality and inequality constraints within optimal thrust allocation procedures cannot be handled directly by means of the solvers like industry-standardized quadratic ...
Marko Valčic, Jasna Prpic-OrŁic
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Query Complexity of Derivative-Free Optimization
CoRR, 2012 This paper provides lower bounds on the convergence rate of Derivative Free Optimization (DFO) with noisy function evaluations, exposing a fundamental and unavoidable gap between the performance of algorithms with access to gradients and those with access to only function evaluations.
Kevin G. Jamieson +2 more
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Derivative-free optimization of a rapid-cycling synchrotron
Optimization and Engineering, 2022 We develop and solve a constrained optimization model to identify an integrable optics rapid-cycling synchrotron lattice design that performs well in several capacities. Our model encodes the design criteria into 78 linear and nonlinear constraints, as well as a single nonsmooth objective, where the objective and some constraints are defined from the ...
Eldred, Jeffrey S +4 more
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Compact Model Parameter Extraction via Derivative-Free Optimization
IEEE AccessIn this paper, we address the problem of compact model parameter extraction to simultaneously extract tens of parameters via derivative-free optimization.
Rafael Perez Martinez +6 more
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A Derivative-Free Algorithm for Bound Constrained Optimization
Computational Optimization and Applications, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LUCIDI, Stefano, M. Sciandrone
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