National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Coupling the Worst Scenario Method with Fuzzy Input Data
Chleboun, Jan
Inputs entering a mathematical model are considered uncertain, i.e., they are not given in a crisp form but only within a set of admissible data. The solution to the model is evaluated through a functional (criterion) reflecting a particular feature of the solution, e.g., local temperature, velocity, stress. The higher value, the "worse" solution. The goal of the worst scenario method...
The conjugate gradient method
Křížek, Michal ; Segeth, Karel
The paper introduces the main idea of the conjugate gradient method for solving large systems of linear algebraic equations.
Uncertainties in modeling: where do they come from? What actions can we take?
Chleboun, Jan
Basic types and sources of uncertainty in mathematical modeling are brieefly mentioned. The notions of validation and verification are explained. A few preferrable features of mathematical models are listed. Stochastic and nonstochastic approaches to uncertainty in modeling are presented.

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