Results 21 to 30 of about 62,722 (247)
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
doaj +1 more source
Derivative-Free Optimal Iterative Methods
Computational Methods in Applied Mathematics, 2010 AbstractIn this study, we develop an optimal family of derivative-free iterative methods. Convergence analysis shows that the methods are fourth order convergent, which is also verified numerically. The methods require three functional evaluations during each iteration. Though the methods are independent of derivatives, computa-
Khattri, S. K., Agarwal, R. P.
openaire +2 more sources
Benchmarking Derivative-Free Optimization Algorithms [PDF]
SIAM Journal on Optimization, 2009 We propose data profiles as a tool for analyzing the performance of derivative-free optimization solvers when there are constraints on the computational budget. We use performance and data profiles, together with a convergence test that measures the decrease in function value, to analyze the performance of three solvers on sets of smooth, noisy, and ...
Jorge J. Moré, Stefan M. Wild
openaire +1 more source
Survey of derivative-free optimization
Numerical Algebra, Control & Optimization, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xi, Min, Sun, Wenyu, Chen, Jun
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Beam Line Optimization using Derivative-Free Algorithms
Journal of Physics: Conference Series, 2019 Abstract The present study focuses on the beam line optimization from the heavy-ion synchrotron SIS18 to the HADES experiment. BOBYQA (Bound Optimization BY Quadratic Approximation) solves bound constrained optimization problems without using derivatives of the objective function.
Appel, Sabrina, Reimann, Stephan
openaire +2 more sources
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
doaj +1 more source
Construction of Optimal Derivative‐Free Techniques without Memory [PDF]
Journal of Applied Mathematics, 2012 Construction of iterative processes without memory, which are both optimal according to the Kung‐Traub hypothesis and derivative‐free, is considered in this paper. For this reason, techniques with four and five function evaluations per iteration, which reach to the optimal orders eight and sixteen, respectively, are discussed theoretically.
Soleymani, F. +3 more
openaire +4 more sources