Parallel Continuous Non-Convex Optimization [PDF]
, 1997 Parallel globed optimization is one very promising area of research since due to inherent difficulty of the problems it studies, only instances of limited dimension can be solved in reasonable computer time on conventional machines.
Athanasios Migdalas +5 more
core +1 more source
Full‐Stokes Polarimetry Metasurface‐Enabled Single‐Shot Measurement of the Spin Hall Effect of Light
Advanced Optical Materials, EarlyView.This study presents a metasurface‐enabled approach to measure the spin Hall effect of light in a single‐shot. The metasurface splits a reflected light into six polarization‐dependent focal spots, allowing all Stokes parameters to be obtained from single image.
Jeonghoon Choi +6 more
wiley +1 more source
Random gradient-free minimization of convex functions [PDF]
In this paper, we prove the complexity bounds for methods of Convex Optimization based only on computation of the function value. The search directions of our schemes are normally distributed random Gaussian vectors.
NESTEROV, Yurii
core
A method for generating a well-distributed Pareto set in nonlinear multiobjective optimization [PDF]
, 2009 A method is presented for generating a well-distributed Pareto set in nonlinear multiobjective optimization. The approach shares conceptual similarity with the Physical Programming-based method, the Normal-Boundary Intersection and the Normal ...
Utyuzhnikov, S.V.; id_orcid +7 more
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Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering
Advanced Photonics Research, Volume 6, Issue 5, May 2025.Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik +7 more
wiley +1 more source
On convergence of the maximum block improvement method [PDF]
, 2015 . The MBI (maximum block improvement) method is a greedy approach to solving optimization problems where the decision variables can be grouped into a finite number of blocks. Assuming that optimizing over one block of variables while fixing all others is
Shuzhong Zhang +5 more
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Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
Advanced Robotics Research, EarlyView.This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source
Matrix convex functions with applications to weighted centers for semidefinite programming [PDF]
In this paper, we develop various calculus rules for general smooth matrix-valued functions and for the class of matrix convex (or concave) functions first introduced by Loewner and Kraus in 1930s.
Zhang, S., Luo, Z-Q., Brinkhuis, J.
core +1 more source
A Simplified Convex Optimization Model for Image Restoration with Multiplicative Noise. [PDF]
J Imaging, 2023 Che H, Tang Y.
europepmc +1 more source