Results 51 to 60 of about 555,552 (274)

Stochastic Optimization of PCA with Capped MSG [PDF]

, 2013
We study PCA as a stochastic optimization problem and propose a novel stochastic approximation algorithm which we refer to as "Matrix Stochastic Gradient" (MSG), as well as a practical variant, Capped MSG.
Arora, Raman, Cotter, Andrew, Srebro, Nathan   +2 more
core  

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Stochastic optimization under constraints

Stochastic Processes and their Applications, 2001
A convex constrained stochastic control problem is studied via the dual martingale approach. The results (existence and uniqueness, dual formulation) apply to various financial models, such as portfolio optimization under constraints or reinsurance models, and allow one to deal with incomplete markets, to incorporate labor income and consumption, and ...
Mnif, Mohammed, Pham, Huyên
openaire   +2 more sources

Engineering Deformation and Failure in Diamond Triply Periodic Minimal Surface Lattices via 3D Wall‐Thickness Grading

Advanced Engineering Materials, EarlyView.
The work demonstrates that strategic wall‐thickness grading in diamond triply periodic minimal surface lattices enables precise tuning of deformation and failure behavior under compression. Different gradation patterns guide how and where the structure collapses, improving energy absorption or promoting controlled brittle failure.
Giovanni Rizza, Danilo Bruson, Manuela Galati, Luca Iuliano   +3 more
wiley   +1 more source

Fractional Skyrmion Tubes in Chiral‐Interfaced 3D Magnetic Nanowires

Advanced Functional Materials, EarlyView.
In chiral 3D helical magnetic nanowires, the coupling between the geometric and magnetic chirality provides a way to create topological spin states like vortex tubes. Here, it is demonstrated how the breaking of this coupling in interfaced 3D nanowires of opposite chirality leads to even more complex topological spin states, such as fractional ...
John Fullerton, Naëmi Leo, Jakub Jurczyk, Claire Donnelly, Dédalo Sanz‐Hernández, Luka Skoric, Nicholas Mille, Stefan Stanescu, Donald A MacLaren, Rachid Belkhou, Aurelio Hierro‐Rodriguez, Amalio Fernández‐Pacheco   +11 more
wiley   +1 more source

Optimization of the railway vehicle bogie in term of dynamics [PDF]

Applied and Computational Mechanics, 2009
The paper deals with parameter optimization method of a railway vehicle bogie. Wheelsets are subjected to stochastic excitation caused by irregularities of the track geometry and/or caused by deterministic excitation from polygonalized running surface of
Zeman V., Hlaváč Z.
doaj  

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A novel hybrid backtracking search optimization algorithm for continuous function optimization [PDF]

Decision Science Letters, 2019
Stochastic optimization algorithm provides a robust and efficient approach for solving complex real world problems. Backtracking Search Optimization Algorithm (BSA) is a new stochastic evolutionary algorithm and the aim of this paper is to introduce a ...
Sukanta Nama, Apu Kumar Saha
doaj   +1 more source

Light‐Controlled Reversible Coassembly of Hybrid Functional Nanostructures

Advanced Functional Materials, EarlyView.
Light‐responsive hybrid nanostructures are formed by coassembling azobenzene‐ and PAH‐functionalized nanoparticles through reversible an tunable π interactions. The system enables tunable coupling between distinct components such as gold and magnetite or carbon nanotubes, producing switchable optical and magnetic properties under light and magnetic ...
Michal Sawczyk, Yanxiao Han, Soumyo Sen, Bartosz Smereczyński, Petr Král, Michał M. Wójcik   +5 more
wiley   +1 more source

Stochastic Momentum Method With Double Acceleration for Regularized Empirical Risk Minimization

IEEE Access, 2019
Momentum acceleration technique is famously known for building gradient-based algorithms with fast convergence in large-scale optimization. Recently, Nesterov 's momentum and Katyusha momentum have significantly improved the convergence for stochastic ...
Zhijian Luo, Siyu Chen, Yuntao Qian
doaj   +1 more source