Results 121 to 130 of about 2,420 (204)

Efficient Gradient‐Enhanced Bayesian Optimizer with Comparisons to Conjugate‐Gradient and Quasi‐Newton Optimizers for Unconstrained Local Optimization

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 4, 28 February 2026.
ABSTRACT The probabilistic surrogates used by Bayesian optimizers make them popular methods when function evaluations are noisy or expensive to evaluate. While Bayesian optimizers are traditionally used for global optimization, their benefits are also valuable for local optimization.
André L. Marchildon, David W. Zingg
wiley   +1 more source

Diversifying Investments and Maximizing Sharpe Ratio: A Novel Quadratic Unconstrained Binary Optimization Formulation

open access: yesQuantum Reports
The optimization of investment portfolios represents a pivotal task within the field of financial economics. Its objective is to identify asset combinations that meet specified criteria for return and risk.
Mirko Mattesi   +6 more
doaj   +1 more source

Quantum annealing for inverse kinematics in robotics. [PDF]

open access: yesSci Rep
Salloum H   +5 more
europepmc   +1 more source

Quantum Computing for Transport Network Optimization. [PDF]

open access: yesEntropy (Basel)
Ju J   +7 more
europepmc   +1 more source

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