In this article,we study a 2D nonlinear time-fractional Rayleigh-Stokes problem,which has an anomalous subdiffusion term,on triangular meshes by quadratic finite volume element ***-fractional derivative,defined by Cap...
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In this article,we study a 2D nonlinear time-fractional Rayleigh-Stokes problem,which has an anomalous subdiffusion term,on triangular meshes by quadratic finite volume element ***-fractional derivative,defined by Caputo fractional derivative,is discretized through L2−1σformula,and a two step scheme is used to approximate the time first-order derivative at time tn−α/2,where the nonlinear term is approximated by using a matching linearized difference scheme.A family of quadratic finite volume element schemes with two parameters are proposed for the spatial discretization,where the range of values for two parameters areβ1∈(0,1/2),β2∈(0,2/3).For testing the precision of numerical algorithms,we calculate some numerical examples which have known exact solution or unknown exact solution by several kinds of quadratic finite volume element schemes,and contrast with the results of an existing quadratic finite element scheme by drawing diversified comparison plots and showing the detailed data of L2 error results and convergence *** results indicate that,L2 error estimate of one scheme with parameters β_(1)=(3−√3)/6,β2=(6+√3−√21+6√3)/9 is O(h^(3)+△t^(2)),and L^(2) error estimates of other schemes are O(h^(2)+△t^(2)),where h and △t denote the spatial and temporal discretization parameters,respectively.
In sampling-based Bayesian models of brain function, neural activities are assumed to be samples from probability distributions that the brain uses for probabilistic computation. However, a comprehensive understanding...
In sampling-based Bayesian models of brain function, neural activities are assumed to be samples from probability distributions that the brain uses for probabilistic computation. However, a comprehensive understanding of how mechanistic models of neural dynamics can sample from arbitrary distributions is still lacking. We use tools from functional analysis and stochastic differential equations to explore the minimum architectural requirements for recurrent neural circuits to sample from complex distributions. We first consider the traditional sampling model consisting of a network of neurons whose outputs directly represent the samples (sampler-only network). We argue that synaptic current and firing-rate dynamics in the traditional model have limited capacity to sample from a complex probability distribution. We show that the firing rate dynamics of a recurrent neural circuit with a separate set of output units can sample from an arbitrary probability distribution. We call such circuits reservoir-sampler networks (RSNs). We propose an efficient training procedure based on denoising score matching that finds recurrent and output weights such that the RSN implements Langevin sampling. We empirically demonstrate our model's ability to sample from several complex data distributions using the proposed neural dynamics and discuss its applicability to developing the next generation of sampling-based Bayesian brain models.
In this article we consider the filtering problem associated to partially observed diffusions, with observations following a marked point process. In the model, the data form a point process with observation times tha...
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The use of Multi-Rotor Aerial Vehicles (MRAVs) in tasks that require physical interaction has been an active research field in the last decade which resulted in an increasing interest in Aerial Manipulators (AMs). Thi...
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ISBN:
(数字)9798350357882
ISBN:
(纸本)9798350357899
The use of Multi-Rotor Aerial Vehicles (MRAVs) in tasks that require physical interaction has been an active research field in the last decade which resulted in an increasing interest in Aerial Manipulators (AMs). This raises many challenges in the modeling, control, perception, and planning of these robots. However, designing and realizing an AM testbed is a complicated multi-disciplinary task, and there is a lack of standardization in the relatively new field of AMs. For this purpose, we introduce Sarax, an open-source hardware and software framework tailored for AMs research and innovation. The software of Sarax is built on top of open-source projects such as the Robot Operating System (ROS) and PX4 Autopilot, while the hardware is designed to be customizable, modular, and easily scalable through parameterized models. We verified and validated the proposed framework through indoor and outdoor experiments. We aim to open the door to accelerate AMs research and innovation, allow researchers and developers to focus on their core contributions, and take AMs technology to a higher readiness level.
In this article we consider Bayesian parameter inference for a type of partially observed stochastic Volterra equation (SVE). SVEs are found in many areas such as physics and mathematical finance. In the latter field ...
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We study the Dispersive Art Gallery Problem with vertex guards: Given a polygon P, with pairwise geodesic Euclidean vertex distance of at least 1, and a rational number;decide whether there is a set of vertex guards s...
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To effectively answer these questions, your application's design needs to make a new user of your service feel at ease and not disoriented. This website is one of the most important parts of your marketing plan. I...
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ISBN:
(纸本)9789819748945
To effectively answer these questions, your application's design needs to make a new user of your service feel at ease and not disoriented. This website is one of the most important parts of your marketing plan. If you have a fully functional, expert, and visually appealing website, it will be easier for consumers to do business with you. A user-friendly website will increase your revenue dramatically. It will be possible for your visitors to find the products on your website even more quickly than before. Many businesses have switched to selling their goods online, increasing the number of e-commerce platforms, thanks to COVID. In addition to retail and literature, e-commerce today supports a number of industries, such as books, home products, and cosmetics. Users will benefit from new features like augmented reality, chat capabilities, and recommended engines as 5G develops. Your business will get an immediate competitive edge over competitors by using these new features. Notwithstanding geographical disparities and the Covid pandemic, the business's target market has grown thanks to its offerings of groceries, essentials, and goods for the aged. These modifications suggest to people that e-commerce purchases now involve more commonplace needs than luxuries. By providing the best customer care possible at every point of contact, we at Clever Data prioritize the needs of our clients. With a team of dedicated developers and industry knowledge, it can provide you with the greatest solution for your clients’ comfort. They are thrilled to become a part of the intelligent Data family. 5G has a lot of potential and promises to help with these issues. Data processing and transmission speeds will soar to new heights with 5G. Thus, 5G will aid in the development and delivery of efficient online video advertising that can grab consumers’ interest and yield the most outcomes. Similarly, 5G networks guarantee that gadgets maintain their Internet connections while moving from o
As a key technology in the 5G era, mobile edge computing (MEC) has developed rapidly in recent years. MEC aims to reduce the service delay of mobile users, while alleviating the processing pressure on the core network...
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Compared with the uniform arrays, the conformal array can e ectively reduce the radar cross section and improve the utilization of the limited space in the aircraft. However, the special array structure aggravates the...
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Non-overlapping codes are a set of codewords such that the prefix of each codeword is not a suffix of any codeword in the set, including itself. If the lengths of the codewords are variable, it is additionally require...
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