Methods for the localization of singularities in numerical solutions of gas dynamics problems
著者
書誌事項
Methods for the localization of singularities in numerical solutions of gas dynamics problems
（Springer series in computational physics）
Springer-Verlag, c1990
- : us
- : gw
- タイトル別名
-
Metody lokalizat︠s︡ii osobennosteĭ pri chislennom reshenii zadach gazodinamiki
大学図書館所蔵 全28件
注記
Translation of: Metody lokalizat︠s︡ii osobennosteĭ pri chislennom reshenii zadach gazodinamiki
Includes bibliographical references (p. [375]-399) and index
内容説明・目次
内容説明
As a result of the numerical simulation of multidimensional gas dynamics problems on a computer, the output information is obtained in the form of immense arrays of numerical data. In this connection, there arises the problem of extracting the actually needed information from these arrays; in other words, it is necessary to solve the problem of information compression. In particular, the numerical solution of gas dynamics problems often aims at the information on the solution singularities-the shock waves, contact interfaces, slip lines, etc. Our book is devoted to the development and investigation of accuracy of the algorithms for the localization of such singularities. In addi tion, the questions of development of the algorithms for the classification of singularities into several types (on the basis of shock-capturing numerical solutions of two-dimensional gas dynamics problems) are considered for the first time in the monographic literature. For this purpose, some ideas and methods of the modern theory of digital-image processing and of the pattern recognition theory are used. The information obtained at the output of the systems of the singularities classification presented in this book is rich in content, because it contains both physical and geometrical characteristics of recognized objects. Therefore, such "intellectual" systems of information ex traction may be used in the expert systems of automated design of aero dynamic bodies which meet some optimality requirements. This is, in our opinion, very attractive from the point of view of applications."
「Nielsen BookData」 より