Numerical Computation, Data Analysis and Software in Mathematics and Engineering

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, numeric...

Full description

Saved in:
Bibliographic Details
Other Authors: Cheng, Yumin (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
n/a
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 doab_20_500_12854_91224
005 20220812
003 oapen
006 m o d
007 cr|mn|---annan
008 20220812s2022 xx |||||o ||| 0|eng d
020 |a books978-3-0365-4778-7 
020 |a 9783036547770 
020 |a 9783036547787 
040 |a oapen  |c oapen 
024 7 |a 10.3390/books978-3-0365-4778-7  |c doi 
041 0 |a eng 
042 |a dc 
072 7 |a KNTX  |2 bicssc 
100 1 |a Cheng, Yumin  |4 edt 
700 1 |a Cheng, Yumin  |4 oth 
245 1 0 |a Numerical Computation, Data Analysis and Software in Mathematics and Engineering 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2022 
300 |a 1 electronic resource (272 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Information technology industries  |2 bicssc 
653 |a cold-roll forming 
653 |a longitudinal strain 
653 |a cubic spline function 
653 |a cumulative chord 
653 |a elastic-plastic problem 
653 |a complex variable meshless method 
653 |a interpolating shape function 
653 |a singular weight function 
653 |a complete basis function 
653 |a mathematical model 
653 |a leased price 
653 |a total leased area 
653 |a data analysis 
653 |a residential land 
653 |a Beijing 
653 |a meshless method 
653 |a dimension splitting-interpolating moving least squares (DS-IMLS) method 
653 |a improved interpolating element-free Galerkin (IEFG) method 
653 |a potential problem 
653 |a traffic flow 
653 |a two-dimensional lattice hydrodynamic model 
653 |a driver's predictive effect 
653 |a finite element method 
653 |a alkali-activated slag ceramsite compound insulation block 
653 |a ANSYS CFX 
653 |a thermal and mechanical performances 
653 |a indoor thermal environment 
653 |a dimension splitting method 
653 |a dimension splitting generalized interpolating element-free Galerkin method 
653 |a convection-diffusion-reaction problem 
653 |a deep learning 
653 |a hydrogel network 
653 |a mechanical property 
653 |a convolutional neural network 
653 |a self-avoiding walk 
653 |a personnel health monitoring 
653 |a construction site management 
653 |a smart helmet 
653 |a infrared temperature measurement 
653 |a temperature error compensation 
653 |a BP neural network 
653 |a COVID-19 
653 |a peridynamics 
653 |a dual-horizon 
653 |a crack propagation 
653 |a variable horizon 
653 |a multi-grid 
653 |a car-following model 
653 |a visual angle model 
653 |a electronic throttle angle 
653 |a stability analysis 
653 |a heavy haul 
653 |a railway tunnel 
653 |a basement structure 
653 |a dynamic response characteristics 
653 |a defects 
653 |a the lattice hydrodynamic model 
653 |a control signal 
653 |a strong wind 
653 |a optimal estimation of flux difference integral 
653 |a improved element-free Galerkin method 
653 |a Helmholtz equation 
653 |a penalty method 
653 |a improved moving least-squares approximation 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/5870  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/91224  |7 0  |z DOAB: description of the publication