Numerical Computation, Data Analysis and Software in Mathematics and Engineering

ISBN 10: 3036547770 / ISBN 13: 9783036547770

Published by MDPI AG, 2022

About this Item

Numerical Computation, Data Analysis and Software in Mathematics and Engineering | Buch | Gebunden | Englisch | 2022 | MDPI AG | EAN 9783036547770 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 123947298

Bibliographic Details

• Title: Numerical Computation, Data Analysis and Software in Mathematics and Engineering
• Publisher: MDPI AG
• Publication Date: 2022
• Language: English
• ISBN 10: 3036547770
• ISBN 13: 9783036547770
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 22D millimeters 250 millimeters width by 175 millimeters height by 22 millimeters depth
• Weight: 880 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The present book contains 14 articles that were accepted for publication in the Special Issue "Numerical Computation, Data Analysis and Software in Mathematics and Engineering" of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed.

This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.