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Programy a algoritmy numerické matematiky 13
Chleboun, Jan ; Segeth, Karel ; Vejchodský, Tomáš
The book contains papers presented at the international conference Programs and Algorithms of Numerical Mathematics 13(PANM 13) held in Prague, Czech Republic, May 28-31, 2006, in honor of Ivo Babuska´s 80th birthday. It is the thirteenth volume in the series of the PANM proceedings. The topics of contributions include numerical methods for fluid flow modelling, the finite element method, a posteriori error estimates, topics from numerical linear algebra, etc.
Sandia workshop: úloha z mechaniky konstrukcí
Chleboun, Jan
A frame with uncertain material data is considered. The Young modulus is represented through a random field whose characteristics are not known. The frame response to a given lood is to be assessed on the basis of a limited number of measurements of local and effective Young modulus values. The contribution presents an approach based on probability, fuzzy set, and the worst scenario tools.
K Sandia problému mechaniky konstrukcí
Chleboun, Jan
A structural mechanics problem with uncertain modulus of elasticity is considered. A displacement in a loaded frame is to be predicted on the basis of a limited number of measurements of the modulus. This contribution estimates the displacement under the assumption of uniformly distributed random variables related to the measured values.
Algoritmus založený na hladké optimalizaci a jeho použití při řešení nehladkého optimalizačního problému, jenž vzniká při maximalizaci kriteriálního funkcionálu s fuzzy vstupními daty
Chleboun, Jan
In maximum range problems, the input parameters of an analyzed model are uncertain and the range of the model output values is searched for. If the input values form a fuzzy set with a known membership function, then the goal is to determine the membership function of the output values, that is, to determine the fuzziness of the quantity of interest. A recently proposed integration-based input membership function and the common .alpha.- cut technique are used to achieve this goal. Although this approach can lead to a nonsmooth optimization problem, it is shown that the nonsmooth problem can be decomposed into a sequence of smooth subproblems and solved by standard smooth optimization routines.
Ke kumulativním dechovým testům s uhlíkem 13C: snaha zvýšit přesnost výsledků testu odhalila významnou nejistotu ve vstupních údajích
Chleboun, Jan ; Kocna, P.
In cumulative 13C breath tests, the estimation of CO2 production rate is a key issue. Two different estimates are compared. It is investigated why these estimates deliver rather different values.
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...
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.
Worst scenario method applied to heat conductivity structures formed by composite materials
Chleboun, Jan
Uncertain conductivity coefficients are considered. They are not given directly bat they stem from an admissible family of composite materials characterized by uncertain concentrations of their constituents. The goal is to maximize a weakly continuous **st functional and to suggest an approximate method suitable for numerical solution of the problem.

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