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Finite element and reduced dimension...

Luo, Zhendong.

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Finite element and reduced dimension methods for partial differential equations

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Finite element and reduced dimension methods for partial differential equations/ by Zhendong Luo.
作者:	Luo, Zhendong.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xxiii, 652 p. :ill., digital ;24 cm.
內容註:	Preface -- Basic Theory of Standard Finite Element Method -- Basic Theory of Mixed Finite Element Method -- Mixed Finite Element Methods for the Unsteady Partial Differential Equations -- The Reduced Dimension Methods of Finite Element Subspaces for Unsteady Partial Differential Equations -- The Reduced Dimension of Finite Element Solution Coefficient Vectors for Unsteady Partial Differential Equations -- Bibliography -- Index.
Contained By:	Springer Nature eBook
標題:	Finite element method. -
電子資源:	https://doi.org/10.1007/978-981-97-3434-4
ISBN:	9789819734344

Finite element and reduced dimension methods for partial differential equations
Luo, Zhendong.

Finite element and reduced dimension methods for partial differential equations[electronic resource] /by Zhendong Luo. - Singapore :Springer Nature Singapore :2024. - xxiii, 652 p. :ill., digital ;24 cm.

Preface -- Basic Theory of Standard Finite Element Method -- Basic Theory of Mixed Finite Element Method -- Mixed Finite Element Methods for the Unsteady Partial Differential Equations -- The Reduced Dimension Methods of Finite Element Subspaces for Unsteady Partial Differential Equations -- The Reduced Dimension of Finite Element Solution Coefficient Vectors for Unsteady Partial Differential Equations -- Bibliography -- Index.

This book aims to provide with some approaches for lessening the unknowns of the FE methods of unsteady PDEs. It provides a very detailed theoretical foundation of finite element (FE) and mixed finite element (MFE) methods in the first 2 chapters, and then Chapter 3 provides the FE and MFE methods to solve unsteady partial differential equations (PDEs) In the following 2 chapters, the principle and application of two proper orthogonal decomposition (POD) methods are introduced in detail. This book can be used as both the introduction of FE method and the gateway to the FE frontier. For readers who want to learn the FE and MFE methods for solving various steady and unsteady PDEs, they will find the first 3 chapters very helpful. While those who care about engineering applications may jump to the last 2 chapters that introduce the construction of dimension reduction models and their applications to practical process calculations. This part could help them to improve the calculation efficiency and save CPU runtime so as to do wonders for their engineering calculations.

ISBN: 9789819734344

Standard No.: 10.1007/978-981-97-3434-4doiSubjects--Topical Terms:

579714
Finite element method.

LC Class. No.: TA347.F5

Dewey Class. No.: 518.25

Finite element and reduced dimension methods for partial differential equations
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520 $a This book aims to provide with some approaches for lessening the unknowns of the FE methods of unsteady PDEs. It provides a very detailed theoretical foundation of finite element (FE) and mixed finite element (MFE) methods in the first 2 chapters, and then Chapter 3 provides the FE and MFE methods to solve unsteady partial differential equations (PDEs) In the following 2 chapters, the principle and application of two proper orthogonal decomposition (POD) methods are introduced in detail. This book can be used as both the introduction of FE method and the gateway to the FE frontier. For readers who want to learn the FE and MFE methods for solving various steady and unsteady PDEs, they will find the first 3 chapters very helpful. While those who care about engineering applications may jump to the last 2 chapters that introduce the construction of dimension reduction models and their applications to practical process calculations. This part could help them to improve the calculation efficiency and save CPU runtime so as to do wonders for their engineering calculations.
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