Results 61 to 70 of about 67,874 (310)
Duality and Convex Optimization [PDF]
Convex optimization is one of the main applications of the theory of convexity and Legendre–Fenchel duality is a basic tool, making more flexible the approach of many concrete problems.
Lars-Erik Persson +3 more
core +1 more source
Rapid ascent trajectory optimization of rocket-based combined cycle hypersonic vehicle
The ascent trajectory design of a rocket-based combined cycle (RBCC) hypersonic vehicle has many typical characteristics, including the complex working mode of the RBCC power system, strong coupling between thrust and flight state, strong nonlinear model
YAN Xunliang +3 more
doaj +1 more source
Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture
A stochastic model and validation suite were developed to produce the highest fidelity computer‐generated (Digital Twin) microstructures of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively.
Jonathan O'Neill +9 more
wiley +1 more source
A Consensus Approach to Distributed Convex Optimization in Multi-Agent Systems [PDF]
In this thesis we address the problem of distributed unconstrained convex optimization under separability assumptions, i.e., the framework where a network of agents, each endowed with local private convex cost and subject to communication constraints ...
Filippo Zanella, Zanella, Filippo
core
Necessary and sufficient condition on global optimality without convexity and second order differentiability [PDF]
The main goal of this paper is to give a necessary and sufficient condition of global optimality for unconstrained optimization problems, when the objective function is not necessarily convex. We use Gâteaux differentiability of the objective function
Burai, Pál
core +1 more source
Sea cucumber mutable collagenous tissue (MCT) is a remarkable collagen‐based material which can rapidly undergo large changes in stiffness through transiently bound effector proteins. Here, we investigate the hierarchical structure and mechanical response of MCT from Cucumaria frondosa across length scales with a wide range of methods, also exploring ...
Nathalie R. H. Singh +7 more
wiley +1 more source
A high-precision online trajectory optimization method combining convex optimization and Radau pseudospectral method is presented for the large attitude flip vertical landing problem of a starship-like vehicle. During the landing process, the aerodynamic
Hongbo Chen +3 more
doaj +1 more source
Beyond Convexity: Stochastic Quasi-Convex Optimization
Stochastic convex optimization is a basic and well studied primitive in machine learning. It is well known that convex and Lipschitz functions can be minimized efficiently using Stochastic Gradient Descent (SGD). The Normalized Gradient Descent (NGD) algorithm, is an adaptation of Gradient Descent, which updates according to the direction of the ...
Elad Hazan +2 more
openaire +3 more sources
Charge Generation and Recombination Pathways in All‐Polymer Bulk Heterojunction Solar Cells
Multimodal spectroscopy and device analysis reveal how field‐dependent charge generation, transport limitations, and non‐geminate recombination govern performance losses in all polymer solar cells. The results identify the key processes controlling charge extraction and recombination, providing insights for the design of more efficient all‐polymer ...
Shahidul Alam +17 more
wiley +1 more source
Optimal Resource Allocation for Two-User and Single-DF-Relay Network With Ambient Backscatter
In this paper, we investigate and analyze a two-user single decode-and-forward (DF) relay network with ambient backscatter communication capabilities, where the user nodes and the relay node are equipped with a wireless-powered device instead of embedded
Chuangming Zheng +2 more
doaj +1 more source

