Course details

# Highly Sophisticated Computations

VND Acad. year 2017/2018 Summer semester

The course is aimed at practical methods of solving problems encountered in science and engineering: large systems of differential equations, algebraic equations, partial differential equations,stiff systems, problems in automatic control, electric circuits, mechanical systems, electrostatic and electromagnetic fields. An original method based on a direct use of Taylor series is used to solve the problems numerically. The course also includes analysis of parallel algorithms and design of special architectures for the numerical solution of differential equations. A special simulation language TKSL is available.

Topics for Final exam:
1. Analytic solution of differential equations.
2. Numeric solution of differential equations.
3. Extremely accurate solution of differential equations using Taylor series method.
4. Parallel properties of Taylor series method, basic programming of specialised parallel problems by methods using the calculus (close relationship of equation and block representation of the problem).
5. Adjunct differential operators and parallel solutions of differential equations with variable coefficients.
6. Methods of solution of large systems of algebraic equations by transforming them into ordinary differential equations (ODEs).
7. Fourier series and finite integrals - solution using ODEs.
8. Simulation of electric circuit.
9. Solution of practical problems described by partial differential equation.
10. Conception of the elementary processor of a specialised parallel computation system.

Guarantor

Language of instruction

Czech

Completion

Examination (written)

Time span

39 hrs lectures, 26 hrs pc labs

Assessment points

60 exam, 20 half-term test, 20 labs

Department

Lecturer

Instructor

Subject specific learning outcomes and competences

Ability to analyse the selected methods for numerical solutions of differential equations (based on the Taylor Series Method) for extremely exact and fast solutions of sophisticated problems.

Generic learning outcomes and competences

• An individual solution of a nontrivial system of diferential equations.

Learning objectives

To provide overview and basics of practical use of selected methods for numerical solutions of differential equations (based on the Taylor Series Method) for extremely exact and fast solutions of sophisticated problems.

Prerequisite kwnowledge and skills

Numerical Mathematics

Fundamental literature

• Hennessy, J. L., Patterson, D.A.: Computer Architecture: a Quantitative Approach, Morgan Kaufmann Publishers, Inc., 1990, San Mateo, California
• Kunovský, J.: Modern Taylor Series Method, habilitation work, VUT Brno, 1995
• Hairer,E., Norsett,S.P.,Wanner,G.: Solving Ordinary Differential Equations I, vol. Nonstiff Problems. Springer-Verlag Berlin Heidelberg, 1987, ISBN 3-54017145-2
• Hairer,E., Norsett,S.P.,Wanner,G.: Solving Ordinary Differential Equations II, second revised ed., vol. Stiff and Differential-Algebraic Problems. Springer-Verlag Berlin Heidelberg, 1996, ISBN 3-540-60452-2

Syllabus of lectures

• Methodology of sequential and parallel computation (feedback stability of parallel computations)
• Extremely precise solutions of differential equations by the Taylor series method
• Parallel properties of the Taylor series method
• Basic programming of specialised parallel problems by methods using the calculus (close relationship of equation and block description)
• Parallel solutions of ordinary differential equations with constant coefficients
• Adjunct differential operators and parallel solutions of differential equations with variable coefficients
• Methods of solution of large systems of algebraic equations by transforming them into ordinary differential equations
• Parallel applications of the Bairstow method for finding the roots of high-order algebraic equations
• Fourier series  and finite integrals
• Simulation of electric circuits
• Solution of practical problems described by partial differential equations
• Library subroutines for precise computations
• Conception of the elementary processor of a specialised parallel computation system.

Progress assessment

Half Term Exam and Term Exam. The minimal number of points which can be obtained from the final exam is 29. Otherwise, no points will be assigned to a student.

Controlled instruction

Submission of report on the results of experiments carried out within the tutorial. Any laboratory should be replaced in the final weeks of the semester.

Course inclusion in study plans

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