Results 71 to 80 of about 67,874 (310)
Two‐photon grayscale lithography (2GL) enables high‐speed and precise 3D printing of thermolyzed silica glass microstructures with optical‐grade surface quality, high quality factors, and mechanical strength utilizing a custom‐made pre‐glass resist based on polyhedral oligomeric silsesquioxane (POSS) modified with a high‐sensitivity Norrish type II ...
Jonathan L. G. Schneider +4 more
wiley +1 more source
Large Scale Resource Allocation for the Internet of Things Network Based on ADMM
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 +3 more
doaj +1 more source
Strong Fenchel Duality for Evenly Convex Optimization Problems
Among a variety of approaches introduced in the literature to establish duality theory, Fenchel duality was of great importance in convex analysis and optimization. In this paper we establish some conditions to obtain classical strong Fenchel duality for
Saba Naser Majeed
doaj +1 more source
Hydrogel Microtube Drug Carrier for Catheter‐Based Intravascular Therapy
This paper proposes hydrogel microtube carriers composed of barium alginate gel, enabling long‐term vascular retention without interrupting blood flow. Intravascular treatments have long been attracting attention for therapeutic efficacy, yet practical delivery methods remained unestablished.
Shota Sato +8 more
wiley +1 more source
New algorithms for the dual of the convex cost network flow problem with application to computer vision [PDF]
Motivated by various applications to computer vision, we consider an integer convex optimization problem which is the dual of the convex cost network flow problem.
Kolmogorov, V., Shioura, A.
core
Distributed constrained optimization via continuous-time mirror design
Recently, distributed convex optimization using a multiagent system has received much attention by many researchers. This problem is frequently approached by combing the consensus algorithms in the multiagent literature and the gradient algorithms in the
Rui Sheng, Wei Ni
doaj +1 more source
Are Convex Optimization Curves Convex?
In this paper, we study when we might expect the optimization curve induced by gradient descent to be \emph{convex} -- precluding, for example, an initial plateau followed by a sharp decrease, making it difficult to decide when optimization should stop.
Guy Barzilai, Ohad Shamir, Moslem Zamani
openaire +3 more sources
Erratum to: On convex optimization without convex representation [PDF]
The proof of Theorem 3 in the original publication of the article contains an incorrect statement that we fix below. Theorem 3 Let K in (1.2) be compact and let Assumption 1 hold true. For every fixed μ > 0, choose xμ ∈ K to be an arbitrary stationary point of φμ in K.
openaire +1 more source
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Convex Functions on Intervals [PDF]
The study of convex functions of one real variable offers an excellent glimpse of the beauty and fascination of advanced mathematics. The reader will find here a large variety of results based on simple and intuitive arguments that have remarkable ...
Lars-Erik Persson +3 more
core +1 more source

