Veja grátis o arquivo Geometria Analitica Steinbruch e Winterle enviado para a disciplina de Geometria Analítica Categoria: Outros – 27 – Ivan de C. e Oliveira e Paulo Boulos, “Geometria Analítica. Um Tratamento Alfredo Steinbruch e Paulo Winterle, “Álgebra Linear”, McGraw-Hill, Brasil, Algebra Linear .. Ciência e Engenharia de Materiais uma Calculo com Geometria analitica vol 2 – Louis Leithold
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Objectives of the curricular unit and competences In this CU, students learn the fundamentals of Linear Algebra and Analytical Geometry. After the student is approved he should be able to:. Echelon form and rank of a matrix. Systems of linear equations.
Inverse of a matrix. Axiomatic definition and examples. Methods of evaluating determinants. Linear dependence and linear independence. The change of coordinate matrix. Matrix representation of a linear transformation.
Kernel and range of a linear transformation. Operations with linear transformations. Algebraic and geometric geometrai of an eigenvalue. The cross product and the scalar triple product. Analytical representation of straight lines and planes. The syllabus contains the usual tools required to solve linear problems matrices, determinants and eigenvalue theory and the basic examples where these tools are applied linear system solving, linear maps and coordinate geometry problems.
Two partial written examinations.
92 FREE TUTORIAL INFO ALGEBRA LINEAR STEINBRUCH PDF DOC
The student is approved with an average grade of at least 10 values and with a minimum grade of 8 values at each partial examination. The student is approved with a final grade of at least 10 values.
If not, the student can try summative assessment or repeat one of the partial written examinations instead of the 1 st final exam. The summative assessment is obtained considering one of the three final exams: Theoretical and practical lectures allow the teacher to explain the linear algebra basic tools and to show simultaneously how to apply these tools in problems.
After the student is approved he should be able to: Perform calculations with matrices and determinants. Discuss and solve systems of linear equations.
Understand and use the concepts of vector space and linear transformation. Compute eigenvalues and eigenvectors and use them for diagonalizing square matrices. Compute and use geometrical interpretations of inner, cross and scalar triple products.
Apply the concepts learned in the resolution of analytical geometry problems. Identify and use the covered subjects to solve engineering problems.
Robertson, Basic Linear AlgebraSpringer.