Finite Elements: Basics and Precision

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (33)

Structure of Algebras Log in to Mediaspace to watch this video

Covers the structure of finite dimensional algebras and the characterization of semisimple algebras.

Finite Elements Method: Error Estimation Log in to Mediaspace to watch this video

Explores a priori error estimation in the finite elements method, covering convergence analysis, orthogonality, weak formulations, and optimal precision.

Fun Corps Fini: Decomposition and Roots Log in to Mediaspace to watch this video

Covers the decomposition of a finite field and the concept of roots.

Finite Fields and Group Theory Log in to Mediaspace to watch this video

Explores solutions of the 2018 exam, finite fields, group theory, congruences, and polynomial irreducibility in Q[X].

Commutative Rings and Fields Log in to Mediaspace to watch this video

Covers commutative rings, fields, injective morphisms, characteristic, Frobenius, and binomial theorem.

Generalization of Change of Basis Matrices Log in to Mediaspace to watch this video

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.

Finite Element Method: Global vs Local Approach Log in to Mediaspace to watch this video

Compares the global and local approaches of the Finite Element Method.

Finite Elements in Structural Mechanics Log in to Mediaspace to watch this video

Covers the application of finite elements in structural mechanics, focusing on theories related to beams, plates, and shells.

Linear Representations: Basics and Examples Log in to Mediaspace to watch this video

Covers linear representations, isomorphism, G modules, and classification of representations of C star and C plus.

Finite Element Development: Higher Order Basis Functions Log in to Mediaspace to watch this video

Explores higher-order basis functions in finite element development and precision of models.

Tensor Products of Modules Log in to Mediaspace to watch this video

Covers tensor algebras, symmetric and exterior algebras, and tensor products of modules.

Linear Regression: Basics and Estimation Log in to Mediaspace to watch this video

Covers the basics of linear regression and how to solve estimation problems using least squares and matrix notation.

Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.

Page 2 of 2