Contents



Preface

readership, providing a brief summary of the topics presented in this edited volume. The book promotes new research results in the field of simulation modeling – the process of creating and analyzing digital prototypes of physical models to predict their performances in the real world. With the development of computers and numerical approximation methods, simulation modeling has become a means of verifying various scientific and engineering theories, based on methods, such as digital prototypes for design, analysis calculations, algorithms, or finite element analysis. Simulation modeling helps scientists and designers predict circumstances, such as, under what conditions, in which ways a part could fail, and at what loads can it withstand, based on analyses on the approximate working conditions by applying the simulation software. Simulation modeling allows scientists and designers to avoid the repeated building of multiple physical prototypes to analyze new models of real study objects. Using these techniques, scientists can optimize their solutions to analyzed problems, can select materials and methods that meet practical requirements, simulate parts failure and identify a condition that causes them, can assess extreme environmental conditions, which is not so easy for practical tests on real life, can verify hand calculations, and can validate the safety and survival of physical model. Simulation modeling has also a large utilization in nontechnical domains, such as biomedicine, economics, society, and others.

This preface serves to introduce the book Simulation Modeling to the general

The book aims to present some recent examples of scientific works and applications of simulation modeling, in a wide range of domains, which reduce human intervention in real life, using predetermining mathematic models, based on computers and algorithms. These examples are using various theories and intelligent methods with applications in biomedicine, engineering, or economics, for monitoring and diagnosis, to take optimal decisions in various applications based on practical measurement data. The book is a way to disseminate researchers' contributions in the field. This project presents applications that bring to analysis the advantages of simulation modeling by a high scientific level of theoretical and practical attainments. Researchers in different domains developed new theories and methods that enhance human understanding and improve the specialist ability to implement high-performance solutions. Studies that emphasize the implementation of theoretical methodologies in practice are presented. The authors have published work examples and case studies that resulted from their researches in the field. The readers get new solutions and answers to questions related to the emerging

The book is structured in six sections, which refer to the following thematic areas: Mathematics is considered an important field in the theory of knowledge, mathematical activity consisting of discovering and proving properties of abstract issues with axioms, which is being widely used in science to model phenomena and enable the extraction of variable predictions from experimental laws. Biomedicine is a branch of medical science that applies biological and physiological principles to clinical practice, developing treatments by validating biological research, with biomedical disciplines, such as, medical biology, bioinformatics, virology,

simulation modeling in various applications.
