Results 91 to 100 of about 324,327 (273)
Advances in research on impulse hydro‐turbine technology
Abstract To accelerate the development of impulse hydro‐turbines and support the efficient utilization of hydropower resources in Southwest China, this paper examines the background, historical development, and research progress of impulse hydro‐turbines.
Xiaochao Li +7 more
wiley +1 more source
Quasi-Newton Based Preconditioning and Damped Quasi-Newton Schemes for Nonlinear Conjugate Gradient Methods [PDF]
In this paper, we deal with matrix-free preconditioners for nonlinear conjugate gradient (NCG) methods. In particular, we review proposals based on quasi-Newton updates, and either satisfying the secant equation or a secant-like equation at some of the previous iterates.
Mehiddin Al-Baali +3 more
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Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints
In this paper, we introduce a novel approach to solve the vector projection problem under linear equality and cardinality constraints, termed the Quasi-Newton Lagrangian method. This approach employs a Lagrangian transformation to address linear equality
Xiao-Jing Wang, Zhen-Sheng Yu
doaj +1 more source
A Quasi-Newton Method with No Derivatives [PDF]
The Davidon formula and others of the “quasi-Newton” class, which are used in the unconstrained minimization of a function f f , provide a (generally) convergent sequence of approximations to the Hessian of f f . These formulas, however, require the independent calculation of the gradient of f f .
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The in situ agglomeration behavior of semisolid Al–silicate inclusions in Si‐killed steel is studied using high‐temperature confocal scanning laser microscopy. Particle motion and interparticle forces at the steel/argon interface are quantified and compared with a modified capillary interaction model.
Suwam Kumar +4 more
wiley +1 more source
LEARNING ALGORITHM EFFECT ON MULTILAYER FEED FORWARD ARTIFICIAL NEURAL NETWORK PERFORMANCE IN IMAGE CODING [PDF]
One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is
OMER MAHMOUD +2 more
doaj
Abstract The reinforcement corrosion is one of the main degradation mechanisms in reinforced concrete structures. Its effects can harm structural elements by reducing mechanical capacity, mainly due to diminished reinforcement properties and expansive reactions within the concrete.
Vinícius D'Almeida Rodrigues Ramos +3 more
wiley +1 more source
In Thailand, the harvesting season for sugarcane usually begins in November and ends the following May. At the beginning of each harvesting season, the Royal Thai government sets the price of two types of sugarcane, namely fresh and fired, based on ...
Wisanlaya Pornprakun +3 more
doaj +1 more source
Abstract This classroom study explored the effects of vocabulary support on collocation learning and affective responses in task‐based language teaching (TBLT) among English‐as‐a‐foreign‐language (EFL) learners at a Japanese university. For this purpose, 68 EFL learners completed two interactive information‐gap tasks under either vocabulary‐support or ...
Yuichi Suzuki, Sachiko Nakamura
wiley +1 more source

