GASPARO MORANDI ELEMENTI DI CALCOLO NUMERICO PDF

Rodriguez, Algoritmi numerici, Pitagora, Bologna, argomenti e quesiti contrassegnati da? Rodriguez, Algoritmi numerici, Pitagora Editrice, Bologna Gasparo, R. Free Pdf Download 16 Dec Algoritmi numerici rodriguez pdf.

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To be familiar with the calculus of functions of one real variable in particular, derivative and integrals. Basic notions of Linear Algebra. To learn basic notions of Numerical Analysis and be aware of problems coming from finite precision arithmetic. Part 1: Numerical Analysis Error analysis and finite precision arithmetic. Numerical methods for solving linear systems: direct and iterative approaches. Numerical approximation of non-linear function zeroes.

Polynomial and spline interpolation and approximation. Quadrature formulae. An introduction to Matlab. Matlab implementation of simple algorithms. Part 2: Probability and Statistics Descriptive statistic: population and sample. Range, mean, variance and percentiles of data. Calculus of probabilities: the various definitions of prob. Properties of prob. Bayes theorem. Stochastic or random variables. Density of prob. The most common stochastic variable. Law of large numbers and the central limit theorem.

Elements of inferential statistic: the sample mean and its distribution. The sample variance and its distribution. Confidence intervals and chi-square test. Brugnano, C.

Magherini e A. Gasparo e R. For Numerical Analysis, slides, covering the course contents, will be downloadable from the Professor's homepage. Salta al contenuto principale.

Introduction to numerical analysis, probability theory and statistics - mod. Numerical Analisys Introduction to numerical analysis, probability theory and statistics - mod. Numerical Analisys. Modulo Generico. Academic year:. Available in academic year:. Type of course:. Department of Information engineering and mathematics. Scientific-disciplinary sector:. Parent course:. Course year:. Teaching staff:. Hours of lectures:.

Hours of self study:. To be familiar with the basic concepts and tools of probability calculus and statistics. See Contents. Lectures and tutorial in computer classroom. Type of exam:.

Implementation of a Matlab program and oral exam. Course start date:. Course end date:.

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Introduction to numerical analysis, probability theory and statistics - mod. Numerical Analisys

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