Results 121 to 130 of about 43,906 (221)

Periodic Scenario Trees: A Novel Framework for Robust Periodic Invariance and Stabilization of Constrained Uncertain Linear Systems

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 5069-5086, June 2026.
ABSTRACT This work proposes a new framework for stabilizing uncertain linear systems and for determining robust periodic invariant sets and their associated control laws for constrained uncertain linear systems. Necessary and sufficient conditions for stabilizability by periodic controllers are stated and proven using finite step Lyapunov functions for
Yehia Abdelsalam, Sankaranarayanan Subramanian, Sebastian Engell   +2 more
wiley   +1 more source

Quadratic unconstrained binary optimization for environmental control system equipment design and assessment

Advanced Modeling and Simulation in Engineering Sciences
This paper explores possible implementations of a quantum annealing-based algorithm, in the Quadratic unconstrained binary optimization method (QUBO) form, to solve the thermo-fluid dynamics problem associated with the design of critical components of ...
Giulio Malinverno, Javier Blasco Alberto
doaj   +1 more source

Adaptive Weighted Total Variation Penalty for Precise Change Point Detection

Australian &New Zealand Journal of Statistics, Volume 68, Issue 2, June 2026.
ABSTRACT Total variation (TV)‐based methods, such as the fused lasso, are standard for change point detection but are impaired by issues like local monotonicity. To address these limitations, this study comparatively analyses the fused lasso with two alternative methodologies.
Dong‐Young Lee, Kwan‐Young Bak, Jae‐Hwan Jhong   +2 more
wiley   +1 more source

A Comparative Study on Solving Optimization Problems With Exponentially Fewer Qubits

IEEE Transactions on Quantum Engineering
Variational quantum optimization algorithms, such as the variational quantum eigensolver (VQE) or the quantum approximate optimization algorithm (QAOA), are among the most studied quantum algorithms.
David Winderl, Nicola Franco, Jeanette Miriam Lorenz   +2 more
doaj   +1 more source

Longitudinal Cross‐Classified Item Response Theory Model: Application to Longitudinal Rater‐Mediated Assessment

Journal of Educational Measurement, Volume 63, Issue 2, Summer 2026.
Abstract Longitudinal data from repeated measurements are commonly used in social and behavioral sciences to study students’ growth. When scores are assigned by raters, they become subject to rater effects such as variability in rater stringency. Therefore, in longitudinal assessments with rater‐assigned scores, valid inference on growth requires ...
Yun Kyung Kim, Sijia Huang, Eun Hye Ham
wiley   +1 more source

A Stable and Accurate X‐FFT Solver for Linear Elastic Homogenization Problems in 3D

International Journal for Numerical Methods in Engineering, Volume 127, Issue 10, 30 May 2026.
ABSTRACT Although FFT‐based methods are renowned for their numerical efficiency and stability, traditional discretizations fail to capture material interfaces that are not aligned with the grid, resulting in suboptimal accuracy. To address this issue, the work at hand introduces a novel FFT‐based solver that achieves interface‐conforming accuracy for ...
Flavia Gehrig, Matti Schneider
wiley   +1 more source

Deep Learning Enabled Ultrafast Optical Spectral Phase Retrieval via Unbalanced‐Intensity Autocorrelation

Nanophotonics, Volume 15, Issue 10, 27 May 2026.
Phase‐enabled nonlinear gating with unbalanced intensity (PENGUIN) enables reconstruction of the complete ultrafast optical field from one‐dimensional nonlinear interferometric autocorrelation traces. Combined with deep learning, the DeepPENGUIN framework enables real‐time spectral phase retrieval without spectrally resolved detection or iterative ...
Tae‐In Jeong, Eunji Choi, Mengkun Liu, Seungchul Kim, Alexander Gliserin   +4 more
wiley   +1 more source

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

Quantum 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, Luca Asproni, Christian Mattia, Simone Tufano, Giacomo Ranieri, Davide Caputo, Davide Corbelletto   +6 more
doaj   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source