Results 71 to 80 of about 1,287,242 (332)

Efficient hedging in Bates model using high-order compact finite differences [PDF]

arXiv, 2017
We evaluate the hedging performance of a high-order compact finite difference scheme from [4] for option pricing in Bates model. We compare the scheme's hedging performance to standard finite difference methods in different examples. We observe that the new scheme outperforms a standard, second-order central finite difference approximation in all our ...
arxiv  

Mathematical Modeling and Numerical Approximation of Heat Conduction in Three-Phase-Lag Solid

Energies
In this article, we propose a mathematical model for one-dimensional heat conduction in a three-layered solid considering that an interfacial condition is present for the temperature and heat flux conditions between the layers.
Anibal Coronel, Esperanza Lozada, Stefan Berres, Fernando Huancas, Nicolás Murúa   +4 more
doaj   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Multifunctional Design of Triply Periodic Minimal Surface Structures for Temporary Pediatric Fixation Devices

Advanced Engineering Materials, EarlyView.
A metallic implant's higher stiffness compared to the surrounding bone leads to stress shielding problems, causing bone density reduction and bone growth interference in pediatric patients. 3D‐printed triply periodic minimal surface structures present a promising engineering solution.
Ali Ebrahimzadeh Dehaghani, Zia Javanbakht, Martina Barzan, David G. Lloyd, Stefanie Feih   +4 more
wiley   +1 more source

Zenab k.jabar NUMERICAL SOLUTIONS OF THE GENERALIZED BURGERS HUXLEY EQUATION BY FINITE DIFFERENCE METHOD

مجلة علوم ذي قار, 2019
In this paper, numerical solutions of the generalized Burgers-Huxley equation are obtained by using explicit finite difference method and Crank- Nicalson(C.N) finite difference method. we compare our result with the exact solution ,our Numerical results
Zenab Jabar
doaj   +4 more sources

Solving two point boundary value problems for ordinary differential equations using exponential finite difference method

Boletim da Sociedade Paranaense de Matemática, 2016
In this article, a new exponential finite difference scheme for  the numerical solution of two point boundary value problems with Dirichlet's boundary conditions is proposed. The scheme is based on an exponential approximation of the Taylor expansion for
Pramod K. Pandey
doaj   +1 more source

Soft‐Layered Composites with Wrinkling‐Activated Multi‐Linear Elastic Behavior, Stress Mitigation, and Enhanced Strain Energy Storage

Advanced Engineering Materials, EarlyView.
In this study, exciting new bi‐/multi‐linear elastic behavior of soft elastic composites that accompany the activation of wrinkling in the embedded interfacial layers is analyzed. The new features and performance of these composite materials, including dramatic enhancements in energy storage, can be tailored by the concentration of interfacial layers ...
Narges Kaynia, Nicholas Xuanlai Fang, Mary C. Boyce   +2 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

Advanced Engineering Materials, EarlyView.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener, Johannes Rosenberger, Michael Luke, José Manuel Domínguez, Joana Francisco Morgado, Hans‐Ulrich Kobialka, Torsten Kraft, Johannes Tlatlik   +7 more
wiley   +1 more source

Modeling and Accessing Smart Materials with Integrity Constraints in the Shapes Constraint Language and Ontologies—The SmaDi Way

Advanced Engineering Materials, EarlyView.
Integrity constraints enforce consistency and completeness on data. The article discusses a newly developed validator for checking integrity constraints in Shapes Constraint Language (SHACL) through reduction to SPARQL Protocol and RDF Query Language (SPARQL) queries. It can be used with systems for ontology‐based database access.
Özgür L. Özçep, Mena Leemhuis, Maximilian Winkler, Robert Courant, Thomas Sattel, Jürgen Maas   +5 more
wiley   +1 more source