國立虎尾科技大學 |

An introduction to scientific computing = fifteen computational projects solved with MATLAB /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An introduction to scientific computing/ by Ionut Danaila ... [et al.].
其他題名:	fifteen computational projects solved with MATLAB /
其他作者:	Danaila, Ionut.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xviii, 373 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Numerical analysis - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-35032-0
ISBN:	9783031350320

An introduction to scientific computing = fifteen computational projects solved with MATLAB /
An introduction to scientific computingfifteen computational projects solved with MATLAB /[electronic resource] :by Ionut Danaila ... [et al.]. - Second edition. - Cham :Springer International Publishing :2023. - xviii, 373 p. :ill. (chiefly color), digital ;24 cm.

Numerical Approximation of Model Partial Differential Equations -- Nonlinear Differential Equations: Application to Chemical Kinetics -- Polynomial Approximation -- Solving an Advection-Diffusion Equation by a Finite Element Method -- Solving a Differential Equation by a Spectral Method -- Signal Processing: Multiresolution Analysis -- Elasticity: Elastic Deformation of a Thin Plate -- Domain Decomposition Using a Schwarz Method -- Geometrical Design: Bézier Curves and Surfaces -- Gas Dynamics: The Riemann Problem and Discontinuous Solutions: Application to the Shock Tube Problem -- Thermal Engineering: Optimization of an Industrial Furnace -- Fluid Dynamics: Solving the Two-Dimensional Navier-Stokes Equations.

This book provides fifteen computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing. For each project the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem to numerical formulation and programming and finally to critical discussion of numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project contains the solutions to all proposed exercises and guides the reader in using the MATLAB scripts. The mathematical framework provides a basic foundation in numerical analysis of partial differential equations and main discretization techniques, such as finite differences, finite elements, spectral methods and wavelets. The book is primarily intended as a graduate-level text in applied mathematics, but it may also be used by students in engineering or physical sciences. It will also be a useful reference for researchers and practicing engineers. The second edition builds upon its earlier material (revised and updated) with three all-new chapters intended to reinforce the presentation of mathematical aspects on numerical methods: Fourier approximation, high-order finite difference methods, and basic tools for numerical optimization. Corresponding new applications and programs concern spectral Fourier methods to solve ordinary differential equations, finite difference methods up to sixth-order to solve boundary value problems and, finally, optimization strategies to fit parameters of an epidemiological model.

ISBN: 9783031350320

Standard No.: 10.1007/978-3-031-35032-0doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

528215
Numerical analysis
--Data processing.

LC Class. No.: QA297

Dewey Class. No.: 510.28553

An introduction to scientific computing = fifteen computational projects solved with MATLAB /
LDR:03514nam a2200337 a 4500 001 1117841
003 DE-He213
005 20231106223536.0
006 m d
007 cr nn 008maaau
008 240126s2023 sz s 0 eng d
020 $a 9783031350320 $q (electronic bk.)
020 $a 9783031350313 $q (paper)
024 7 $a 10.1007/978-3-031-35032-0 $2 doi
035 $a 978-3-031-35032-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA297
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 510.28553 $2 23
090 $a QA297 $b .I61 2023
245 0 3 $a An introduction to scientific computing $h [electronic resource] : $b fifteen computational projects solved with MATLAB / $c by Ionut Danaila ... [et al.].
250 $a Second edition.
260 $a Cham : $c 2023. $b Springer International Publishing : $b Imprint: Springer,
300 $a xviii, 373 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Numerical Approximation of Model Partial Differential Equations -- Nonlinear Differential Equations: Application to Chemical Kinetics -- Polynomial Approximation -- Solving an Advection-Diffusion Equation by a Finite Element Method -- Solving a Differential Equation by a Spectral Method -- Signal Processing: Multiresolution Analysis -- Elasticity: Elastic Deformation of a Thin Plate -- Domain Decomposition Using a Schwarz Method -- Geometrical Design: Bézier Curves and Surfaces -- Gas Dynamics: The Riemann Problem and Discontinuous Solutions: Application to the Shock Tube Problem -- Thermal Engineering: Optimization of an Industrial Furnace -- Fluid Dynamics: Solving the Two-Dimensional Navier-Stokes Equations.
520 $a This book provides fifteen computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing. For each project the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem to numerical formulation and programming and finally to critical discussion of numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project contains the solutions to all proposed exercises and guides the reader in using the MATLAB scripts. The mathematical framework provides a basic foundation in numerical analysis of partial differential equations and main discretization techniques, such as finite differences, finite elements, spectral methods and wavelets. The book is primarily intended as a graduate-level text in applied mathematics, but it may also be used by students in engineering or physical sciences. It will also be a useful reference for researchers and practicing engineers. The second edition builds upon its earlier material (revised and updated) with three all-new chapters intended to reinforce the presentation of mathematical aspects on numerical methods: Fourier approximation, high-order finite difference methods, and basic tools for numerical optimization. Corresponding new applications and programs concern spectral Fourier methods to solve ordinary differential equations, finite difference methods up to sixth-order to solve boundary value problems and, finally, optimization strategies to fit parameters of an epidemiological model.
630 0 0 $a MATLAB. $3 557852
650 0 $a Numerical analysis $x Data processing. $3 528215
650 1 4 $a Applications of Mathematics. $3 669175
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 669338
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 768900
650 2 4 $a Numerical Analysis. $3 671433
700 1 $a Danaila, Ionut. $e author. $3 1356188
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-35032-0
950 $a Mathematics and Statistics (SpringerNature-11649)