Docētāji: Grakovskis Aleksandrs
- Teacher: Grakovskis Aleksandrs
• Sources and main reasons of errors in computer calculations.
• Conditionally of tasks, stability and convergence of methods.
• Direct and iterative methods of the decision of systems of linear equations.
• Local and global interpolation. Approximation.
• Application of methods of numerical differentiation and integration.
• Iterative methods of the decision of non-linear equations and their systems.
• One-dimensional and N-dimensional optimisation. Search methods.
• Numerical methods of the decision of differential equations and their systems.
• Numerical methods of the decision of equations with partial derivatives.
• Recursive and morphological methods. Cellular automata.
• Conditionally of tasks, stability and convergence of methods.
• Direct and iterative methods of the decision of systems of linear equations.
• Local and global interpolation. Approximation.
• Application of methods of numerical differentiation and integration.
• Iterative methods of the decision of non-linear equations and their systems.
• One-dimensional and N-dimensional optimisation. Search methods.
• Numerical methods of the decision of differential equations and their systems.
• Numerical methods of the decision of equations with partial derivatives.
• Recursive and morphological methods. Cellular automata.
- Teacher: Grakovskis Aleksandrs
This course will introduce students to the principles and algorithms of standard numerical methods, give students practical skills for correct application the simplest numerical methods to solve typical mathematical problems, interpret the results obtained, to identify calculation errors and their possible sources.
- Teacher: Grakovskis Aleksandrs
- Teacher: Jackson Ilya
- Teacher: Sorokins Aleksandrs
- Teacher: Spiridovska Nadežda