Results 91 to 100 of about 619,204 (327)

Chasing Convex Bodies Optimally [PDF]

, 2020
In the chasing convex bodies problem, an online player receives a request sequence of $N$ convex sets $K_1,\dots, K_N$ contained in a normed space $\mathbb R^d$. The player starts at $x_0\in \mathbb R^d$, and after observing each $K_n$ picks a new point $x_n\in K_n$. At each step the player pays a movement cost of $||x_n-x_{n-1}||$.
openaire   +2 more sources

Fibrous Pb(II)‐Based Coordination Polymer Operable as a Photocatalyst and Electrocatalyst for High‐Rate, Selective CO2‐to‐Formate Conversion

Advanced Functional Materials, EarlyView.
A coordination polymer [Pb(tadt)]n prepared by a microwave‐assisted solvothermal method selectively reduces CO2 into formate under visible light with a high apparent quantum yield of ≈25% at 400 nm. It can function as a pre‐catalyst, along with conductive Ketjen Black, to form an active PbCO3/Pb3(CO3)2(OH)2 mixture that exhibits a high Faradaic ...
Chomponoot Suppaso, Ryosuke Nakazato, Shoko Nakahata, Yoshinobu Kamakura, Fumitaka Ishiwari, Akinori Saeki, Daisuke Tanaka, Kazuhide Kamiya, Kazuhiko Maeda   +8 more
wiley   +1 more source

Senior Thesis for Haverford College Convex Optimization, Newton's Method and Interior Point Method [PDF]

arXiv, 2020
This paper consists of four general parts: convex sets; convex functions; convex optimization; and the interior-point algorithm. I will start by introducing the definition of convex sets and give three common convex set examples which will be used later in this paper, then prove the significant separating and supporting hyperplane theorems.
arxiv  

Versatile Selective Soldering via Molten Metal Printing for Heat‐Sensitive 3D Electronics and Smart Wearables

Advanced Functional Materials, EarlyView.
Selective soldering via molten metal printing enables component integration, even in heat‐sensitive applications across fields like additive manufacturing, sustainable electronics, and smart textiles. This method overcomes the temperature limitations of existing technologies.
Dániel Straubinger, Peter Koltay, Roland Zengerle, Sabrina Kartmann, Zhe Shu   +4 more
wiley   +1 more source

Large Scale Resource Allocation for the Internet of Things Network Based on ADMM

IEEE Access, 2020
Large scale deployment of Internet of Things (IoT) devices poses challenges in resource allocation. In this paper, alternating direction method of multipliers (ADMM) is adopted to solve such large scale resource allocation problems.
Yanhua He, Sunxuan Zhang, Liangrui Tang, Yun Ren   +3 more
doaj   +1 more source

Tunable Thermoshrinkable Hydrogels for 4D Fabrication of Cell‐Seeded Channels

Advanced Functional Materials, EarlyView.
A thermoresponsive polymer with methacrylate groups for photo‐cross‐linking, based on polyethylene glycol, N‐isopropylacrylamide, and 2‐hydroxyethyl acrylate is synthetized to yield hydrogels that shrink upon temperature increase. The new polymer enables the fabrication of cell‐laden perfusable channels with diameters below 200 µm by combining ...
Greta Di Marco, Marc Falandt, Myriam Neumann, Martina Viola, Thibault Sampon, Marta G. Valverde, Anne Metje van Genderen, Silvia M. Mihaila, Cornelus F. van Nostrum, Bas G. P. van Ravensteijn, Riccardo Levato, Rosalinde Masereeuw, Tina Vermonden   +12 more
wiley   +1 more source

Omnidirectional Transmissive Acoustic Metasurfaces Based on Goldberg Polyhedra

Advanced Functional Materials, EarlyView.
This study introduces omnidirectional acoustic metasurfaces capable of manipulating wavefronts in multiple arbitrary directions simultaneously. A full‐stack pipeline for design, optimization, and fabrication is presented to construct near‐spherical holograms based on Goldberg polyhedra.
Andrea Achilleos, James Hardwick, Ryuji Hirayama, Sriram Subramanian   +3 more
wiley   +1 more source

A comprehensive characterization of the robust isolated calmness of Ky Fan $ k $-norm regularized convex matrix optimization problems

AIMS Mathematics
This paper extends a result of isolated calmness for nuclear norm regularized convex optimization problems to Ky Fan $ k $-norm regularized convex optimization problems.
Ziran Yin, Chongyang Liu, Xiaoyu Chen, Jihong Zhang, Jinlong Yuan   +4 more
doaj   +1 more source

Raising Power Loss Equalizing Degree of Coil Array by Convex Quadratic Optimization Commutation for Magnetic Levitation Planar Motors

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, Jingtao Huang, Jingxian Yang   +2 more
doaj   +1 more source

An optimal algorithm for stochastic strongly-convex optimization [PDF]

arXiv, 2010
We consider stochastic convex optimization with a strongly convex (but not necessarily smooth) objective. We give an algorithm which performs only gradient updates with optimal rate of convergence.
arxiv