Buy Métodos Numéricos 1st by Heitor Pina (ISBN: ) from Amazon’s Book Store. Everyday low prices and free delivery on eligible orders. Buy Métodos Numéricos Complementos e guia prático (Portuguese Editin) by Carlos Lemos e Heitor Pina (ISBN: ) from Amazon’s Book Store. Frequency with two tests and/or examination. Bibliography. Pina, Heitor; Métodos Numéricos, McGraw-Hill. Atkinson, K. E., An Introduction to Numerical Analysis.
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Computer program main structure, including data type, input-output instructions, decision-making tasks, repetitive tasks and functions. Matrices and systems of linear algebraic equations, including the Gauss elimination method.
Determining the inverse matrix. Matrix of a linear transformation.
Biblioteca do ISEL
Norm, distance and orthogonal projection. The theoretical lectures take the form of master classes where the problems are outlined, using examples, and the numerical methods are discussed. In theoretical-practical classes selected problems, mtodoe illustrate the issues discussed in the theoretical lectures, are analyzed and solved. In all theoretical-practical classes, the students are invited to solve some problems on the subject under study at home.
In practical classes students develop and implement programs to test the application of the numerical methods to problem previously discussed in the theoretical-practical class. Provide skills in the numerical analysis filed to engineering students through a significant theoretical background and an applied component focusing on the introduction to Computational Mechanics.
Explore the numerical methods used by numerical simulation commercial programs through the development of simple numerical algorithms and their programming. The convenient exploitation of these programs allows the students to acquire the necessary awareness about the numerical difficulties that may arise and possible solutions that can be adopted to overcome those difficulties.
Tensor analysis – Fundamentals of tensor analysis: Nonlinear equations – general conditions for their solving; iterative methods: Stopping criteria for iterative methods.
Numerical and Computational Methods
Numerical integration – Newton-Cotes formulas e. Differential equations of first order – Taylor mtods. Euler method and Runge-Kutta of order 2 and order 4.
Systems of differential equations. Development of numerical methods: Development of algorithms and program implementation.
Back to study programme. Numerical and Computational Methods Year 1. Subject Area Basic Sciences.
Language of Instruction Portuguese. Other Languages numricls Instruction English. Mode of Delivery Face-to-face. Recommended Prerequisites Computer Programming: Teaching Methods The theoretical lectures take the form of master classes where the problems are outlined, using examples, and the numerical methods are discussed. Learning Outcomes Provide skills in the numerical analysis filed to engineering students through a significant theoretical background and an applied component focusing on the introduction to Computational Mechanics.
FEUP – Numerical Analysis
Work Placement s No Syllabus 1. Systems of linear equations – Iterative methods: Systems of nonlinear equations – Newton-Raphson iterative method. Polynomial interpolation – Lagrange polynomial.