Mathematical Analysis 2
Code  Completion  Credits  Range  Language 

BIKMA2.21  Z,ZK  6  21KP+4KC  Czech 
 Lecturer:
 Ivo Petr
 Tutor:
 Ivo Petr
 Supervisor:
 Department of Applied Mathematics
 Synopsis:

The course completes the theme of analysis of real functions of a real variable initiated in BIKMA1 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.
This course can be enrolled only after successful completion of the course BIKMA1, which can be replaced by the course BIKZMA in the case of repetitive students.
 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. [2] Multivariate functions, partial derivative, gradient, and Hessian matrix.
14. Various types of definiteness of matrices and methods of its determination.
15. The analytical method for finding local extrema of multivariate functions.
16. Principle of numerical descent methods for localization of local extrema of multivariate functions.
17. Riemann’s integral of multivariate function, Fubini’s theorem.
18. 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.
4. Kopáček J.: Matematická analýza nejen pro fyziky I, Matfyzpress, 2016, ISBN 9788073783535
5. Kopáček J.: Matematická analýza nejen pro fyziky II, Matfyzpress, 2015, ISBN 9788073782825
 Note:
 Further information:
 https://courses.fit.cvut.cz/BIKMA2
 Timetable for winter semester 2022/2023:
 Timetable is not available yet
 Timetable for summer semester 2022/2023:
 Timetable is not available yet
 The course is a part of the following study plans:

 Bachelor program Informatics, unspecified branch, in Czech, parttime, 2015 – 2021 (compulsory course in the program)
 Bachelor branch Security and Information Technology, in Czech, parttime, 2015  2019 (compulsory course in the program)
 Bachelor branch Web and Software Engineering, spec. Software Engin., in Czech, parttime, 2015–2020 (compulsory course in the program)
 Bachelor specialization Information Security, parttime, in Czech, 2021 (compulsory course in the program)
 Bachelor specialization Software Engineering, parttime, in Czech, 2021 (compulsory course in the program)
 Bachelor specialization Computer Networks and Internet, parttime, in Czech, 2021 (compulsory course in the program)
 Bachelor specialization Computer Systems and Virtualization, parttime, in Czech, 2021 (compulsory course in the program)
 Bachelor branch Security and Information Technology, parttime, in Czech, 2020 (compulsory course in the program)
 Bachelor program, unspecified specialization, parttime, in Czech, 2021 (compulsory course in the program)