Mathematical Analysis 2
Code  Completion  Credits  Range  Language 

BIEMA2.21  Z,ZK  6  3P+2C  English 
 Garant předmětu:
 Antonella Marchesiello
 Lecturer:
 Antonella Marchesiello
 Tutor:
 Antonella Marchesiello
 Supervisor:
 Department of Applied Mathematics
 Synopsis:

The course completes the theme of analysis of real functions of a real variable initiated in BIEMA1 by introducing the Riemann integral. Students will learn how to integrate by parts and use the substitution method.The next part of the course is devoted to number series, and Taylor polynomials and series. We apply Taylor’s theorem to the computation of elementary functions with a prescribed accuracy. Then we study the linear recurrence equations with constant coefficients, the complexity of recursive algorithms, and its analysis using the Master theorem. Finally, we introduce the student to the theory of multivariate functions. After establishing basic concepts of partial derivative, gradient, and Hessian matrix, we study the analytical method of localization of local extrema of multivariate functions as well as the numerical descent method. We conclude the course with the integration of multivariate functions.
 Requirements:

Knowledge from BIEMA1.21, BIEDML.21, and BIELA1.21.
 Syllabus of lectures:

1. Primitive function and indefinite integral.
2. Integration by parts and the substitution method for the indefinite integral.
3. Riemann’s definite integral, NewtonLeibniz theorem, and generalized Riemann’s integral.
4. Integration by parts and the substitution method for the definite integral.
5. Numerical computation of the definite integral.
6. Number series, criteria of their convergence, estimates of asymptotic behaviour of their partial sums.
7. Taylor’s polynomials and series.
8. Taylor’s theorem and its application to computation of elementary functions with prescribed precision.
9. Homogeneous linear recurrence equations with constant coefficients.
10. Nonhomogeneous linear recurrence equations with constant coefficients.
11. The complexity of recurrence algorithms, the Master theorem.
12. Multivariate functions, partial derivative, gradient, and Hessian matrix.
13. Various types of definiteness of matrices and methods of its determination.
14. The analytical method for finding local extrema of multivariate functions.
15. Principle of numerical descent methods for localization of local extrema of multivariate functions.
16. Riemann’s integral of multivariate function, Fubini’s theorem.
17. Substitution in Riemann’s integral of multivariate function.
 Syllabus of tutorials:

1. Indefinite integral, integration by parts and the substitution method.
2. Definite integral, NewtonLeibniz theorem, integration by parts and the substitution method.
3. Number series, criteria of their convergence
4. Estimates of asymptotic behaviour of partial sums of series.
5. Taylor’s polynomials and series.
6. Taylor’s theorem and its application.
7. Linear recurrence equations.
8. The Master theorem.
9. Multivariate functions, partial derivative, gradient, and Hessian matrix.
10. The analytical method for finding local extrema of multivariate functions.
11. Riemann’s integral of multivariate function, Fubini’s theorem.
12. Substitution in Riemann’s integral of multivariate function.
 Study Objective:
 Study materials:

1. Oberguggenberger M., Ostermann A. : Analysis for Computer Scientists. Springer, 2018. ISBN 9780857294456.
2. Nagle R. K., Saff E. B., Snider A. D. : Fundamentals of Differential Equations (9th Edition). Pearson, 2017. ISBN 9780321977069.
3. Graham R. L., Knuth D. E., Patashnik O. : Concrete Mathematics: A Foundation for Computer Science (2nd Edition). AddisonWesley Professional, 1994. ISBN 9780201558029.
 Note:
 Further information:
 https://courses.fit.cvut.cz/BIEMA2
 Timetable for winter semester 2024/2025:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri  Timetable for summer semester 2024/2025:
 Timetable is not available yet
 The course is a part of the following study plans:

 Bachelor Specialization Computer Engineering, 2021 (compulsory course in the program)
 Bachelor Specialization, Information Security, 2021 (compulsory course in the program)
 Bachelor Specialization, Software Engineering, 2021 (compulsory course in the program)
 Bachelor Specialization, Computer Science, 2021 (compulsory course in the program)
 Bachelor Specialization, Computer Networks and Internet, 2021 (compulsory course in the program)
 Bachelor Specialization Computer Systems and Virtualization, 2021 (compulsory course in the program)
 Bachelor Specialization, Computer Engineering, Version 2024 (compulsory course in the program)