Numerical Computation Data Analysis and Software in Mathematics and Engineering

<p>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 <em>Mathematics</em>. 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.</p><p>This book will be interesting and useful for those working in the meshless method numerical simulation mathematical model deep learning and data analysis fields.</p>