Applied Mathematics and Computationaddresses work at the interface betweenapplied mathematics,numerical computation, and applications ofsystems– oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new … ...
APPLIED MATHEMATICS WORKING PAPER SERIESOn Fragility of Bubbles in Equilibrium Asset Pricing Models of Lucas-Type ∗ In this paper we study the existence of bubbles for pricing equilibria in a pure exchange economy 脿 la Lucas, with infinitely lived homogeneous agents. The model is analyzed under...
An International Journal of Rapid Publication The purpose of Applied Mathematics Letters is to provide a means of rapid publication for important but brief applied mathematical papers. The brief descriptions of any work involving the following can be a potential contribution for this journal: a novel...
indeed we see that the datasets can be machine learned to very high accuracy. This paper is a pump-priming study in experimental mathematics using Clifford algebras, showing that such Clifford algebraic datasets are amenable to machine learning, and shedding light on relationships between these novel...
International Journal of Applied Mathematics and Computer Science《国际应用数学和计算机科学杂志》 (官网投稿) 简介 期刊简称INT J AP MAT COM-POL 参考译名《国际应用数学和计算机科学杂志》 核心类别 SCIE(2024版), 目次收录(维普), 知网外文库,外文期刊, IF影响因子 自引率21.80% 主要研究方向计算机科学-...
The obtained broth was then filtered using Whatman paper. Various ratios of the liquors (v/v) were used as fermentation media. For comparing the results, the filtrated liquors from each sample were collected and added at different proportions (v/v) directly to 250-ml Erlenmeyer flasks ...
to address the elusive aspects of the complex human interactions within the terrain, we think that it is necessary to forego parsimonious models. Functional and high-dimensional models have been used in a number of areas ranging from financial mathematics to population dynamics45,46. They are direc...
High throughput screening (HTS) assesses compound libraries for “activity” using target assays. A subset of HTS data contains a large number of sample measurements replicated a small number of times providing an opportunity to introduce the distributio
This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced. A recurrent neural network approach, named RNN-LF, is then proposed to predict the long...
“data set”. We separately searched two online open source communities, i.e., Kaggle and Github for data sets that are not yet part of any publication. We focused on articles with applications of computer science and mathematics in general. We hope that our efforts will be fruitful in ...