Results 91 to 100 of about 2,017,112 (308)
Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study
IEEE Transactions on Neural Systems and Rehabilitation EngineeringTemporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp.
Chao Geng +5 more
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Applied Sciences, 2018 This paper proposes a convex quadratic optimization commutation method to raise the equalization degree of power loss distribution of coil array for magnetic levitation planar motors.
Shengguo Zhang +2 more
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ON OPTIMUM DESIGN OF FRAME STRUCTURES
Acta Polytechnica CTU Proceedings, 2020 Optimization of frame structures is formulated as a non-convex optimization problem, which is currently solved to local optimality. In this contribution, we investigate four optimization approaches: (i) general non-linear optimization, (ii) optimality ...
Marek Tyburec +3 more
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Barrier Algorithms for constrained Non-Convex Optimization [PDF]
In this paper we theoretically show that interior-point methods based on self-concordant barriers possess favorable global complexity beyond their standard application area of convex optimization. To do that we propose first- and second-order methods for
Dvurechensky, Pavel, Staudigl, Mathias
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Direct Data-Driven Portfolio Optimization with Guaranteed Shortfall Probability [PDF]
, 2013 This paper proposes a novel methodology for optimal allocation of a portfolio of risky financial assets. Most existing methods that aim at compromising between portfolio performance (e.g., expected return) and its risk (e.g., volatility or shortfall ...
Calafiore, Giuseppe Carlo
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Advanced Materials, EarlyView.A solid‐state ionic actuator integrates sensing, actuation, and memory within one material. A brief UV pulse induces long‐lasting deformation via coupled network rearrangement, dehydration, and rehydration, while ionic redistribution enables self‐powered sensing, supporting multifunctional, energy‐efficient soft robotic functions without continuous ...
Yong Min Kim +5 more
wiley +1 more source
The Effect of Transformations on the Approximation of Univariate (Convex) Functions with Applications to Pareto Curves [PDF]
In the literature, methods for the construction of piecewise linear upper and lower bounds for the approximation of univariate convex functions have been proposed.We study the effect of the use of increasing convex or increasing concave transformations ...
Siem, A.Y.D. +2 more
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Recent Advances in Plasma‐Enhanced Atomic Layer Etching for Next‐Generation Nanofabrication
Advanced Materials Interfaces, EarlyView.Continued semiconductor miniaturization demands atomic‐scale patterning and ultralow surface roughness beyond the capabilities of conventional reactive ion etching. This review highlights advances in isotropic and anisotropic plasma‐enhanced atomic layer etching since 2020, covering fundamental mechanisms, applications across major semiconductor ...
Shih‐Nan Hsiao
wiley +1 more source
On a conic approach to convex analysis. [PDF]
. The aim of this paper is to make an attempt to justify the main results from Convex Analysis by one elegant tool, the conification method, which consists of three steps: conify, work with convex cones, deconify.
Brinkhuis, J.
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source