Results 211 to 220 of about 7,798,024 (252)
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Function simulation, graph grammars and colourings
International Journal of Computer Mathematics, 2013We prove that to any partial function defined on a finite set, there corresponds an infinite class of graphs that could be generated by a graph grammar such that each graph in the class represents the function in the sense that evaluation of the function at any point x of its domain can be simulated by finding the unique extension of a partial vertex ...
Amir Daneshgar +2 more
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Simulated Annealing for noisy cost functions
Journal of Global Optimization, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gutjahr, W., Pflug, G.C.
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Deductive Fault Simulation with Functional Blocks
IEEE Transactions on Computers, 1978This paper presents a method of propagating the effects of faults through functional blocks using the deductive (fault list) technique. An extension of the method is shown to be effective for simulating internal faults in functional blocks. The techniques presented here have been used for implementing the functional simulation capability in the Logic ...
Premachandran R. Menon +1 more
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Simulating Software Architectures for Functional Analysis
Seventh Working IEEE/IFIP Conference on Software Architecture (WICSA 2008), 2008Simulation is a mean for verifying the quality of an architectural specification. Some approaches have been proposed in the past. Each approach has its own internal simulation engine, and allows for certain types of simulations. Goal of this paper is to propose SASlM, a software architecture-level simulation technique for modeling and simulating ...
MUCCINI, HENRY, PELLICCIONE, PATRIZIO
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A Tool for Structured Functional Simulation
IEEE Journal on Selected Areas in Communications, 1984BLOSIM is a general purpose time-driven (as opposed to event-driven) simulation language. It is written in C language, and is intended to provide a highly structured environment for simulations, thereby making practical the accumulation of libraries of simulation routines which can be reused and making multiprogrammer simulation efforts more practical.
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Functional Simulation methodes
2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), 2016This paper present an overview of the Functional Simulation methods starting from the late 90's until present. In the following chapters the evolution of Functional Simulation methodology due to increasing design complexity is presented.
Laszlo Molnar, Aurel Gontean
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Proceedings of the IEEE, 1975
It is shown that the magnitude of the ambiguity function can be easily displayed on a spectrum analyzer. The technique used employs delay lines operating only on the modulation waveform. Examples of measured ambiguity functions are given for FM sine waves. These results are shown to be in agreement with theory.
M.C. Bartlett, L.W. Couch, R.C. Johnson
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It is shown that the magnitude of the ambiguity function can be easily displayed on a spectrum analyzer. The technique used employs delay lines operating only on the modulation waveform. Examples of measured ambiguity functions are given for FM sine waves. These results are shown to be in agreement with theory.
M.C. Bartlett, L.W. Couch, R.C. Johnson
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Simulation of Function Generator
Advanced Materials Research, 2014The function generator is the classic analog adder circuit, either independently or as an intermediate for its links embedded in complex circuits, have a very wide range of applications. Function generator can be used as the signal source to produce for research, teaching, experimental signals for different purposes such as how to make it more accurate
Xiao Long Tan, Jia Zhou, Wen Bin Wang
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Functional Partitioning and Simulation of Digital Circuits
IEEE Transactions on Computers, 1970In this paper we present a method for obtaining a functional partitioning of the logic of a computer. It is shown that given a basic function to be performed, such as addition, the computer logic can be partitioned into four disjoint sets, namely the active information logic I, the semiactive flip-flops l, the activated control logic c, and the dormant
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To simulate or not to simulate: A problem of minimising functional logical depth
1995I define a new measure of complexity called functional logical depth and apply the measure to specify the levels of description at which, for the purposes of creating artificial life, it may be most appropriate to simulate the temporal evolution of classes of real living organisms.
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