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The subject theory is important in finance, economics, investment strategies, health sciences, environment, industrial engineering, etc.
Disaster management is a process or strategy that is implemented when any type of catastrophic event takes place. Existing studies and approaches within disaster management have mainly been focused on some specific type of disasters with certain agency oriented.
Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc.
In this monograph the author presents explicit conditions for the exponential, absolute and input-to-state stabilities including solution estimates of certain types of functional differential equations.The main methodology used is based on a combination of recent norm estimates for matrix-valued functions, comprising the generalized Bohl-Perron principle, together with its integral version and the positivity of fundamental solutions.A significant part of the book is especially devoted to the solution of the generalized Aizerman problem.
This book contains entirely new results, not to be found elsewhere. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated. A number of inferences based on a finite mixture of distributions are also presented.
In this monograph we introduce and examine four new temporal logic formalisms that can be used as specification languages for the automated verification of the reliability of hardware and software designs with respect to a desired behavior.
The 5th International Asia Conference on Industrial Engineering and Management Innovation is sponsored by the Chinese Industrial Engineering Institution and organized by Xi'an Jiaotong University.
For more than a century, the study of various types of inequalities has been the focus of great attention by many researchers, interested both in the theory and its applications. The present monograph is an attempt to organize recent progress related to the above inequalities, which we hope will widen the scope of their applications.
This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field.
The subjects from the area of computer architecture, to wit instruction sequence performance, instruction set architectures and remote instruction processing, are usually not investigated in a rigorous way at all.
Answer set programming (ASP) is a declarative language tailored towards solving combinatorial optimization problems. An important question when modeling continuous optimization problems is how we should handle overconstrained problems, i.e.
Templates are a tool for programmers, and implementations of template engines are most times based on practical experience rather than based on a theoretical background. This book reveals the mathematical background of templates and shows interesting findings for improving the practical use of templates.
The approximation of a continuous function by either an algebraic polynomial, a trigonometric polynomial, or a spline, is an important issue in application areas like computer-aided geometric design and signal analysis. best uniform polynomial approximation;
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