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SYSTEM SIMULATION WITH DIGITAL COMPUTER
This is a basic textbook for those who wish to use digital computers for simulating engineering and business systems. It is meant for the students of engineering and business management as well as for systems analysts, industrial engineers and operations research professionals.The reader has been given enough grounding so that he can use simulation to solve simple but mathematically intractable problems. This compact basic textbook has been well received by students and professionals for many years.
Systems Modeling and Computer Simulation
This second edition describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. Coverage new to this edition includes: a chapter on non-linear systems analysis and modelling, complementing the treatment of of continuous-time and discrete-time systems and a chapter on the computer animation and visualization of dynamical systems motion.
Digital Computer Simulation for Design Applications
The paper discusses the origin and historical development of design languages. In particular, it traces the development of Computer Design Language. The semantics and syntatics of Computer Design Language are explained and illustrated. Finally, a proposal is made for a course in Computer Organization to be taught at the U.S. Naval Academy, which will use Computer Design Language and its computer implementation as a basis for the study of digital computers. Computer Design Language (CDL) is a simulation and design language which was developed to simplify the task of designing digital computers. It provides the design engineer with the ability to simply and concisely describe the hardware configuration of a digital computer and its operation. (Modified author abstract).
Digital Computer Simulation
Procedures for determining the result of a change in inputs to a system simulation. The study discusses the reliability of an experimental result and describes methods of estimating it. The method recommended uses a single replication and makes use of the covariance stationarity of the underlying stochastic process. The comparative reliability of results for different experiments is also discussed. For comparing experiments, it is suggested that reliability based on equal ratios is often preferable. A procedure for graphical analysis is presented, including a list of transformations of the dependent variable that help to reveal the correct form of the relationship between input and output. The generalized least-squares method for estimating the parameters of the identified form takes into consideration the varying reliabilities of the different results and leads to more efficient estimates than those obtained by the unweighted least-squares method. A procedure is given for predicting the computer time needed for a given input and a specified reliability. (Author).
