Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Ordinary Differential Equations and Applied Dynamics (37)
- Life Sciences (32)
- Medicine and Health Sciences (29)
- Dynamic Systems (18)
- Diseases (15)
-
- Non-linear Dynamics (10)
- Disease Modeling (9)
- Epidemiology (9)
- Partial Differential Equations (9)
- Public Health (9)
- Ecology and Evolutionary Biology (8)
- Other Applied Mathematics (8)
- Control Theory (6)
- Immunology and Infectious Disease (6)
- Mathematics (6)
- Population Biology (6)
- Statistics and Probability (6)
- Computer Sciences (5)
- Numerical Analysis and Computation (5)
- Dynamical Systems (4)
- Physics (4)
- Virus Diseases (4)
- Applied Statistics (3)
- Biology (3)
- Cell and Developmental Biology (3)
- Engineering (3)
- Genetics and Genomics (3)
- Medical Specialties (3)
- Institution
Articles 61 - 64 of 64
Full-Text Articles in Applied Mathematics
Studies Of Oval Tube And Fin Heat Exchangers, Phillip Nielsen
Studies Of Oval Tube And Fin Heat Exchangers, Phillip Nielsen
Discovery Day - Prescott
Heating Ventilation and air-conditioning (HVAC) is a system which changes the temperature of the surroundings for the purposes of cooling or heating. This system requires energy to maintain a temperature difference from the outside temperature. This is important since minimized power is one of the requirements for the system to achieve a better efficiency. Optimizing the flow over the evaporator coils is one way to increase the cooling efficiency. This will reduce the power required to have a sustainable system. Optimizing the flow to increase the energy transfer between the fins and the incoming air could result in a greater …
A Tutorial Of The Immersed Interface Method, Sheng Xu
A Tutorial Of The Immersed Interface Method, Sheng Xu
Science Seminars
The immersed interface method is a computational methodology to solve differential equations with non-smooth solutions across interfaces. In this talk, Dr. Xu will use a simple example to demonstrate the main ingredients and features of this method. He will then present the application of the method to the simulation of fluid flows and make the connection of the application with the simple example.
This talk is a tutorial of the method for undergraduate students.
Come at 3:30pm for refreshments, speaker at 4:00pm
Modeling Gene Expression With Differential Equations, Madison Kuduk
Modeling Gene Expression With Differential Equations, Madison Kuduk
Capstone Showcase
Gene expression is the process by which the information stored in DNA is convertedinto a functional gene product, such as protein. The two main functions that makeup the process of gene expression are transcription and translation. Transcriptionand translation are controlled by the number of mRNA and protein in the cell. Geneexpression can be represented as a system of first order differential equations for the rateof change of mRNA and proteins. These equations involve transcription, translation,degradation and feedback loops. In this paper, I investigate a system of first orderdifferential equations to model gene expression proposed by Hunt, Laplace, Miller andPham in …
Exploration And Implementation Of Neural Ordinary Differential Equations, Long Huu Nguyen, Andy Malinsky
Exploration And Implementation Of Neural Ordinary Differential Equations, Long Huu Nguyen, Andy Malinsky
Capstone Showcase
Neural ordinary differential equations (ODEs) have recently emerged as a novel ap- proach to deep learning, leveraging the knowledge of two previously separate domains, neural networks and differential equations. In this paper, we first examine the back- ground and lay the foundation for traditional artificial neural networks. We then present neural ODEs from a rigorous mathematical perspective, and explore their advantages and trade-offs compared to traditional neural nets.