본문

  1. Home
  4. 소장자료검색
34 Results:SS:FINITEELEMENTMETHOD 0.422 sec.
RSS 
다국어입력
 상세검색
 신착검색
선택출력 선택엑셀내보내기
1
A Study on Discontinuous Petrov-Galerkin Finite Element Methods in Semi-Linear Problems and Adaptivity.
A Study on Discontinuous Petrov-Galerkin Finite Element Methods in Semi-Linear Problems and Adaptivity.
Briones, Jor-el Thomas Caparas.Mathematics. | University of California, San Diego. | 2022
프린트
2
Finite element methods in mechanics
Finite element methods in mechanics
Kikuchi, Noboru | Cambridge University Press | 1986
프린트
3
The finite element method in engineering
The finite element method in engineering
Rao, S. S. | Butterworth-Heinemann | 2010
프린트
4
Finite element methods for Maxwell's equations
Finite element methods for Maxwell's equations
Monk, Peter | Clarendon Press | 2003
프린트
5
The least-squares finite element method : theory and applications in computational fluid dynamics and electromagnetics
The least-squares finite element method : theory and applications in computational fluid dynamics and electromagnetics
Jiang, Bo-Nan | Springer | 1998
프린트
6
The finite element method in engineering- [electronic resource]
The finite element method in engineering- [electronic resource]
Rao, S. S. | Butterworth Heinemann | 1999
프린트
7
The finite element method in the static and dynamic deformation and consolidation of porous media- [electronic resource]
The finite element method in the static and dynamic deformation and consolidation of porous media- [electronic resource]
Lewis, R. W. | John Wiley | 1998
프린트
8
Output-Based Error Estimation and Mesh Adaptation for High-Fidelity Fluid-Structure Interaction.
Output-Based Error Estimation and Mesh Adaptation for High-Fidelity Fluid-Structure Interaction.
Frigoletto, Braden E.Aerospace Engineering. | University of Michigan. | 2024
프린트
9
Modeling of Electromagnetic Responses With Respect to Design Variables: Local Gradients, Surrogate Modeling, and Deep Learning Neural Network.
Modeling of Electromagnetic Responses With Respect to Design Variables: Local Gradients, Surrogate Modeling, and Deep Learning Neural Network.
Zhang, Botian.Electrical and Computer Engineering | University of California, Los Angeles. | 2024
프린트
10
Computational Fluid-Structure Interaction Modeling of the Cardiovascular System.
Computational Fluid-Structure Interaction Modeling of the Cardiovascular System.
Black, Ryan Thomas.Mechanical Engineering and Appl | University of Pennsylvania. | 2024
프린트
처음1234이후마지막