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Population genetics models for the statistics of DNA samples under different demographic scenarios - Maximum likelihood versus approximate methods

100%

Polański A., Kimmel M.

International Journal of Applied Mathematics and Computer Science

2003

tom 13

nr 3

347-355

The paper reviews the basic mathematical methodology of modeling neutral genetic evolution, including the statistics of the Fisher-Wright process, models of mutation and the coalescence method under various demographic scenarios. The basic approach is the use of maximum likelihood techniques. However, due to computational problems, intuitive or approximate methods are also of great importance.

A general on-the-fly algorithm for modifying the kinematic tree hierarchy

81%

Stępień J., Polański A., Wojciechowski K.

International Journal of Applied Mathematics and Computer Science

2012

tom 22

nr 2

423-435

When conducting a dynamic simulation of a multibody mechanical system, the model definition may need to be altered during the simulation course due to, e.g., changes in the way the system interacts with external objects. In this paper, we propose a general procedure for modifying simulation models of articulated figures, particularly useful when dealing with systems in time-varying contact with the environment. The proposed algorithm adjusts model connectivity, geometry and current state, producing its equivalent ready to be used by the simulation procedure. Furthermore, we also provide a simple usage scenario-a passive planar biped walker.

Ograniczanie wyników

2 International Journal of Applied Mathematics and Computer Science

2 Polański A.

1 Kimmel M.

1 Stępień J.

1 Wojciechowski K.

1 2012

1 2003

Wyniki wyszukiwania

Population genetics models for the statistics of DNA samples under different demographic scenarios - Maximum likelihood versus approximate methods

A general on-the-fly algorithm for modifying the kinematic tree hierarchy