Chapter 1 Principles of Mathematical Modeling

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 Mathe...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Mityushev, Vladimir (auth)
Tác giả khác: Nawalaniec, Wojciech (auth), Rylko, Natalia (auth)
Định dạng: Điện tử Chương của sách
Ngôn ngữ:Tiếng Anh
Được phát hành: Taylor & Francis 2018
Những chủ đề:
Truy cập trực tuyến:DOAB: download the publication
DOAB: description of the publication
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
Miêu tả
Tóm tắt: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.
Mô tả vật lý:1 electronic resource (25 p.)
số ISBN:9781138197657
Truy cập:Open Access