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	Adaptive Methods for Elliptic Partial Differential Equations Solution Humená, Patrícia ; Kunovský, Jiří (referee) ; Valenta, Václav (advisor) The objective of this project is to get familiar with the numerical solution of partial differential equations. This solution will be implemented by using a grid refinement based on the aposteriory error estimation. Detailed record
	Parallel Solution of Systems of Linear Differential Equations Humená, Patrícia ; Kunovský, Jiří (referee) ; Valenta, Václav (advisor) Objective of this thesis is to familiarize with the numerical solution of linear systems of ordinary differential equations. This solution will be implemented by using a parallel implementation including thread synchronization. Detailed record
	Taylor Series Assembler Valenta, Václav ; Kraus, Michal (referee) ; Kunovský, Jiří (advisor) The objective of this work is to get familiar with numerical solution of differential equations. The solution is made by specialized microprocessor HC08. Basic arithmetic operations and algorithms which helps to make precise results are analyzed here. Detailed record
	Taylor Series Assembler Valenta, Václav ; Kraus, Michal (referee) ; Kunovský, Jiří (advisor) The objective of this work is to get familiar with numerical solution of differential equations. The solution is made by specialized microprocessor HC08. Basic arithmetic operations and algorithms which helps to make precise results are analyzed here. Detailed record
	Parallel Solution of Systems of Linear Differential Equations Humená, Patrícia ; Kunovský, Jiří (referee) ; Valenta, Václav (advisor) Objective of this thesis is to familiarize with the numerical solution of linear systems of ordinary differential equations. This solution will be implemented by using a parallel implementation including thread synchronization. Detailed record
	Adaptive Methods for Elliptic Partial Differential Equations Solution Humená, Patrícia ; Kunovský, Jiří (referee) ; Valenta, Václav (advisor) The objective of this project is to get familiar with the numerical solution of partial differential equations. This solution will be implemented by using a grid refinement based on the aposteriory error estimation. Detailed record

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