TY  - BOOK
AU  - Mityushev,Vladimir
AU  - Nawalaniec,Wojciech
AU  - Rylko,Natalia
TI  - Introduction to Mathematical Modeling and Computer Simulations
PY  - 2018///
PB  - Taylor & Francis
KW  - Mathematics
KW  - bicssc
KW  - Number systems
KW  - mathematics
KW  - number systems
N1  - Free-to-read
N2  - Mathematical Modeling describes a process and an object by use of the mathematical language. A process or an object is presented in a "pure form" in Mathematical Modeling when external perturbations disturbing the study are absent. Computer simulation is a natural continuation of the Mathematical Modeling. Computer simulation can be considered as a computer experiment which corresponds to an experiment in the real world. Such a treatment is rather related to numerical simulations. Symbolic simulations yield more than just an experiment. Mathematical Modeling of stochastic processes is based on the probability theory, in particular, that leads to using of random walks, Monte Carlo methods and the standard statistics tools. Symbolic simulations are usually realized in the form of solution to equations in one unknown, to a system of linear algebraic equations, both ordinary and partial differential equations (ODE and PDE). Various mathematical approaches to stability are discussed in courses of ODE and PDE
UR  - https://library.oapen.org/handle/20.500.12657/47205
ER  -