Computational and Mathematical Methods最新文献_第8页

Parallel Newton–Chebyshev polynomial preconditioners for the conjugate gradient method 共轭梯度法的平行牛顿-切比雪夫多项式预调节器

Computational and Mathematical Methods Pub Date : 2021-02-14 DOI: 10.1002/cmm4.1153

Luca Bergamaschi, Angeles Martinez Calomardo

引用次数: 3

Isolated and structured families of models for stochastic symmetric matrices 随机对称矩阵的孤立和结构模型族

Computational and Mathematical Methods Pub Date : 2021-02-11 DOI: 10.1002/cmm4.1152

Cristina Dias, Carla Santos, João Tiago Mexia

{"title":"Isolated and structured families of models for stochastic symmetric matrices","authors":"Cristina Dias, Carla Santos, João Tiago Mexia","doi":"10.1002/cmm4.1152","DOIUrl":"10.1002/cmm4.1152","url":null,"abstract":"Stochastic symmetric matrices with a dominant eigenvalue, α,can be written as the sum of λααt (where λ is the first eigenvalue), with a symmetric error matrix E. The information in the stochastic matrix will be condensed in its structured vectors, λα, and the sum of square of residues, V. When the matrices of a family correspond to the treatments of a base design, we say the family is structured. The action of the factors, which are considered in the base design, on the structure vectors of the family matrices will be analyzed. We use ANOVA (Analysis of Variance) and related techniques, to study the action under linear combinations of the components of structure vectors of the m matrices of the model. Orthogonal models with m treatments are associated to orthogonal partitions. The hypothesis to be tested, on the action of the factors in the base design, will be associated to the spaces in the orthogonal partitions. We will show how to carry out transversal and longitudinal analysis for families of stochastic symmetric matrices with dominant eigenvalue associated to orthogonal models.","PeriodicalId":100308,"journal":{"name":"Computational and Mathematical Methods","volume":"3 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cmm4.1152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83780844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A high-order numerical method for sediment transport problems simulation and its comparison with laboratory experiments 泥沙输运问题的高阶数值模拟方法及其与室内实验的比较

Computational and Mathematical Methods Pub Date : 2021-02-07 DOI: 10.1002/cmm4.1151

María Teresa Capilla Romá, Angel Balaguer-Beser, Beatriz Nácher-Rodríguez, Francisco J. Vallés-Morán

{"title":"A high-order numerical method for sediment transport problems simulation and its comparison with laboratory experiments","authors":"María Teresa Capilla Romá, Angel Balaguer-Beser, Beatriz Nácher-Rodríguez, Francisco J. Vallés-Morán","doi":"10.1002/cmm4.1151","DOIUrl":"10.1002/cmm4.1151","url":null,"abstract":"This article describes a high-order well-balanced central finite volume scheme for solving the coupled Exner−shallow water equations in one dimensional channels with rectangular section and variable width. Such numerical method may solve the proposed bedload sediment transport problem without the need to diagonalize the Jacobian matrix of flow. The numerical scheme uses a Runge–Kutta method with a fourth-order continuous natural extension for time discretization. The source term approximation is designed to verify the exact conservation property. Comparison of the numerical results for two accuracy tests have proved the stability and accuracy of the scheme. The results of the laboratory tests have also been used to calibrate different expressions of the solid transport discharge in the computer code. Two experimental tests have been carried out to study the erosive phenomenon and the consequent sediment transport: one test consisting of a triangular dune, and other caused by the effect of channel contraction.","PeriodicalId":100308,"journal":{"name":"Computational and Mathematical Methods","volume":"3 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cmm4.1151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73120447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On the Chandrasekhar integral equation 关于钱德拉塞卡积分方程

Computational and Mathematical Methods Pub Date : 2021-02-02 DOI: 10.1002/cmm4.1150

Miguel A. Hernández-Verón, Eulalia Martínez, Sukhjit Singh

引用次数: 0

A strategy to avoid ill-conditioned stars in the generalized finite difference method for solving one-dimensional problems 一维问题广义有限差分法中避免病态星形的策略

Computational and Mathematical Methods Pub Date : 2021-01-24 DOI: 10.1002/cmm4.1149

Augusto C. Albuquerque-Ferreira, Miguel Ureña, Higinio Ramos

引用次数: 2

A software cache autotuning strategy for dataflow computing with UPC++ DepSpawn 基于upc++ DepSpawn的数据流计算软件缓存自动调优策略

Computational and Mathematical Methods Pub Date : 2021-01-16 DOI: 10.1002/cmm4.1148

Basilio B. Fraguela, Diego Andrade

引用次数: 1

Enabling Quality of Service Provision in Omni-Path Switches 使能全路径交换机的服务质量提供

Computational and Mathematical Methods Pub Date : 2021-01-15 DOI: 10.1002/cmm4.1147

Javier Cano-Cano, Francisco J. Andújar, Francisco J. Alfaro-Cortés, José L. Sánchez

引用次数: 0

Robust computational method for singularly perturbed system of parabolic convection-diffusion problems with interior layers 带内层抛物型对流扩散问题奇异摄动系统的鲁棒计算方法

Computational and Mathematical Methods Pub Date : 2021-01-10 DOI: 10.1002/cmm4.1146

Srinivasan Natesan, Maneesh K. Singh

引用次数: 1

Parallel framework for dynamic domain decomposition of data assimilation problems: a case study on Kalman Filter algorithm 数据同化问题的动态域分解并行框架:以卡尔曼滤波算法为例

Computational and Mathematical Methods Pub Date : 2021-01-02 DOI: 10.1002/cmm4.1145

Luisa D'Amore, Rosalba Cacciapuoti

{"title":"Parallel framework for dynamic domain decomposition of data assimilation problems: a case study on Kalman Filter algorithm","authors":"Luisa D'Amore, Rosalba Cacciapuoti","doi":"10.1002/cmm4.1145","DOIUrl":"10.1002/cmm4.1145","url":null,"abstract":"We focus on Partial Differential Equation (PDE)-based Data Assimilation problems (DA) solved by means of variational approaches and Kalman filter algorithm. Recently, we presented a Domain Decomposition framework (we call it DD-DA, for short) performing a decomposition of the whole physical domain along space and time directions, and joining the idea of Schwarz's methods and parallel in time approaches. For effective parallelization of DD-DA algorithms, the computational load assigned to subdomains must be equally distributed. Usually computational cost is proportional to the amount of data entities assigned to partitions. Good quality partitioning also requires the volume of communication during calculation to be kept at its minimum. In order to deal with DD-DA problems where the observations are nonuniformly distributed and general sparse, in the present work we employ a parallel load balancing algorithm based on adaptive and dynamic defining of boundaries of DD—which is aimed to balance workload according to data location. We call it DyDD. As the numerical model underlying DA problems arising from the so-called discretize-then-optimize approach is the constrained least square model (CLS), we will use CLS as a reference state estimation problem and we validate DyDD on different scenarios.","PeriodicalId":100308,"journal":{"name":"Computational and Mathematical Methods","volume":"3 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cmm4.1145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86525828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Some uses of orthogonal polynomials in statistical inference 正交多项式在统计推断中的一些应用

Computational and Mathematical Methods Pub Date : 2021-01-02 DOI: 10.1002/cmm4.1144

Inmaculada Barranco-Chamorro, Christos Grentzelos

引用次数: 1