Complements of Mathematics and Calculus

A.Y. 2023/2024
6
Max ECTS
64
Overall hours
SSD
MAT/01 MAT/02 MAT/03 MAT/04 MAT/05 MAT/06 MAT/07 MAT/08 MAT/09
Language
Italian
Learning objectives
The course aims at: completing the students' knowledge in Mathematics, by studying some of the problems frequently encountered in Applied Sciences; providing the basic tools regarding the numerical simulation of mathematical problems of applicative interest, and the basic tools for an appropriate usage of Scientific Computing software.
Expected learning outcomes
The student will acquire a good knowledge of the mathematical foundations of linear algebra and of numerical calculation; he/she will be able to frame some mathematical problems of applicative interest, and to correctly use the Scientific Calculation software to process data and simulate simple problems in the chemical field.
Single course

This course can be attended as a single course.

Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
Course syllabus
The polynomial interpolation problem. Proof of the uniqueness theorem. Construction of the interpolation polynomil with Vandermonde method and with Lagrange method. Interpolation error. Runge counter-example. Interpolation vs extrapolation. Linear regression, least square method in the discrete case.

Numerical derivative: forward and backward approximation, mid-point formula, second derivative's approximation, Taylor series and error formulas.

Quadrature formulas for the approximation of definite integrals: rectangle, mid-point, trapezoidal and Cavalieri-Simpson rule. Newton-Cotes quadrature formulas: nodes, weights, open and closed formulas, degree of precision. Composite quadrature formulas; error's formulas. Computation of the weights of trapezoidal and Cavalieri-Simpson rules.

An introduction to the numerical approximation of ordinary differential equations. Explicit and implicit Euler's method: geometrical derivation, with Taylor expansion, using derivatives' approximation schemes, based on quadrature formulas. Crank-Nicolson and Heun methods. Definitions and examples of absolute stability and instability, definition of convergence.

Approximation of roots of functions: Bisection, Newton and chords' method. Order of convergence. Stop test. Global convergence theorem for the Newton method.

Some recalls on vectors in the plane and in the space (R2 and R3): Norms of vectors. Linearly dependent and independent vectors.

Recalls on matrices in R(mxn): Diagonal and triangular matrices, symmetric matrices, diagonally dominant. Norms of matrices: definition, properties, norm-1 and infinity-norm.
Product, determinant, eigenvalues of diagonal, tridiagonal and triangular matrices. Determinant of a 2x2 and 3x3 matrix (Sarrus rule). Properties of determinants. Definition of inverse matrix. Linear systems Ax=b 2x2, 3x3, an overview of nxn systems. Homogeneous systems. Compatible (determined and undetermined) and incompatible (impossible) systems. Condition number of a square matrix. Condition number of a linear system in the particular case of perturbation of the vector of constant terms. Square submatrices, minor and rank of a matrix, augmented matrix [A|b]. Rouché-Capelli theorem (in the case A(nxn), without proof). Examples of determined, undetermined, impossible 2x2 and 3x3 systems. Degrees of freedom. Norm-2 of a matrix and condition number in norm-2. Gauss elimination method and LU factorization. Jacobi and Gauss-Seidel iterative methods.
Prerequisites for admission
Numerical sets. Elementary functions. Sequences of real numbers. Differential and integral calculus for real functions in 1D and 2D. Ordinary differential equations. Vector and matrix algebra.
Teaching methods
Frontal lectures and tutorial exercises. Exercises and practical experiences in the computer room.
Teaching Resources
[Web site]: https://ariel.unimi.it/

Elementary Numerical Analysis: An Algorithmic Approach Updated with MATLAB
S.D. Conte, Carl de Boor
SIAM, U.S., Classics in Applied Mathematics, 2018

Elementary linear algebra : applications version
Anton, HowardJohn Wiley and Sons
Assessment methods and Criteria
The exam consists of: a written test, a computer test to be performed in Excel, a short oral test.
Students must complete all components of the final exam (written exam, computer test and oral exam) within a single exam session ("appello") of which there are six a year (January, February, April or May, June, July, September).
The evaluation of the written test allows a maximum mark of 24, with a minimum mark of 14 to be passed. The written test requires the solution of 6 exercise and the reply to 4 theoretical questions.
The written test can be replaced by two in-itinere tests. The evaluation of the two written in-itinere tests allows a maximum mark of 24, with a minimum mark of 14 to be passed. The average of the two in-itinere tests is considered in place of the mark of the written test.
The evaluation of the computer test allows a maximum mark of 6, with a minimum mark of 3 to be passed. The evaluation of the oral test allows a maximum mark of 3 and it could either confirm or decrease the sum of the marks of the written and computer tests. The evaluation of the oral test could also determine the failure of the whole exam and the repetition of all tests in the future.
The oral test, of short duration, is based on the subject contents of all lessons: frontal lectures, tutorial exercises and practical experiences in the computer laboratory.
In the written and computer tests wrong answers don't give negative marks. The minimum marks in both the written and computer tests are required in order to be admitted to the oral test. At the discretion of the committee, the final score could be 30 with honors.
MAT/01 - MATHEMATICAL LOGIC
MAT/02 - ALGEBRA
MAT/03 - GEOMETRY
MAT/04 - MATHEMATICS EDUCATION AND HISTORY OF MATHEMATICS
MAT/05 - MATHEMATICAL ANALYSIS
MAT/06 - PROBABILITY AND STATISTICS
MAT/07 - MATHEMATICAL PHYSICS
MAT/08 - NUMERICAL ANALYSIS
MAT/09 - OPERATIONS RESEARCH
Practicals: 16 hours
Laboratories: 16 hours
Lessons: 32 hours
Shifts:
Corso A
Professor: Fierro Francesca
Corso B
Professor: Bressan Nicoletta