Results 21 to 30 of about 66,063 (262)
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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A fire spread simulator to support tactical management decisions for Mediterranean landscapes
Frontiers in Forests and Global Change, 2023 The use of fire simulation tools has become a regular feature of support systems for fuel management decisions at landscape level. Considering the spatial nature of fire in the evaluation of risk and the definition of fire mitigation goals is an ongoing ...
Jose Ramon Gonzalez-Olabarria +12 more
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Life, 2021 Integrative modeling of macromolecular assemblies requires stochastic sampling, for example, via MCMC (Markov Chain Monte Carlo), since exhaustively enumerating all structural degrees of freedom is infeasible.
Satwik Pasani, Shruthi Viswanath
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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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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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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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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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