Results 91 to 100 of about 88,332 (263)
Mathematical programming study 31 [PDF]
Hoffman, K. L. +2 more
openaire +1 more source
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 more
wiley +1 more source
Mathematical programming formulations can yield faulty answers. Models can be unbounded, infeasible, or optimal with unrealistic answers. This article presents techniques for theory-based discovery of the cause of faulty models.
McCarl, Bruce A.
core
Potential-reduction methods in mathematical programming
We provide a survey of interior-point methods for linear programming and its extensions that are based on reducing a suitable potential function at each iteration.
Todd, Michael J.
core
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji +6 more
wiley +1 more source
NOVEL NUMERICAL PROCEDURES FOR LIMIT ANALYSIS OF STRUCTURES: MESH-FREE METHODS AND MATHEMATICAL PROGRAMMING [PDF]
Current research in the field of limit analysis is focussing on the development of numerical tools which are sufficiently efficient and robust to be used in engineering practice.
Le, Canh
core
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
A Fully Calibrated Generalized CES Programming Model of Agricultural Supply
The use of prior information on supply elasticities to calibrate programming models of agricultural supply has been advocated repeatedly in the recent literature (Heckelei and Britz 2005).
Simon, Leo K. +2 more
core
The Aussois 2000 workshop in combinatorial optimization
ROSOPRO 2003.
Wolsey, Laurence +5 more
core +1 more source

