计算机建模与仿真

Z. Masic, Konny Lajhner, H. Pandza
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摘要

背景:计算机模拟可以简单地描述为使用计算机来表示一个被测试系统的动态响应,通过观察另一个人工系统的行为,在测试系统的基础上建模。自人类出现以来,也就是说,从人类头脑开始了解自然界中周围所有现象和事物的复杂性的那一刻起,物理建模就在不知不觉中进行。目的:分析教学日程计算机仿真与建模的实现方法。方法:本文综述了利用公开信息在本科、研究生和继续教育教学系统中使用模型、计算机和ICT进行建模和仿真,以及相关的专业论文和出版物。模拟方法论的基础是计算机科学、统计学、数值数学、运筹学和人工智能,但今天它已经足够连贯和发展,可以正确地称为一门独立的科学学科。系统模型代表了一个真实系统的简化和理想化(抽象)的形象。换句话说,一个模型是一个真实系统的描述,从我们的角度来看,它的所有特征都是相关的。结果与讨论:计算机模拟在科学中的应用:不同的模拟是用来满足科学领域的特定要求和问题,如:微分方程的数值模拟,不能解析解决。这一类包括处理连续系统的理论,如物理宇宙学现象、流体动力学;随机模拟,用于离散系统,其中变化发生在概率的基础上,不能用方程来解释。这包括遗传变化、生化和遗传调控过程;为制造药物而对分子及其行为进行建模;cfd -计算流体动力学。-计算机被用来进行描述液体和气体行为的计算;蓝脑项目;寄生虫在人体内的认知结构和运动。结论:本文给出了计算机模拟应用的解释和例子,以解决医学和所有其他科学分支中遇到的日常问题。结论:计算机模拟是自然和技术的宝贵结合,是理解和改善我们生活的世界的希望的主要来源之一。
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Computer Modelling and Simulation
Background: Computer simulations can be briefly described as the use of computers to represent the dynamic responses of a tested system, by observing the behavior of another, artificial, system modeled on basis of the test system. Physical modeling has been practiced unconsciously since the beginning of the human species, that is, from the moment when the human mind began to understand all the complexity of phenomena and things that surrounded it in nature. Objective : The aim of this paper is to analyze the implementation of computer's simulation and modeling for educational agenda. Methods : This article is a review of the entire to use models, modeling and simulation by using compiters and ICT for teaching system in undergraduate, postgraduate and continuing education using published information, as well as professional papers and publications about this topic. The simulation methodology is based on computer science, statistics, numerical mathematics, operational research and artificial intelligence, but today it is sufficiently coherent and developed that it can rightly be called a separate scientific discipline. The system model represents a simplified and idealized (abstract) image of a real system. In other words, a model is a description of a real system with all its characteristics that are relevant from our point of view. Results and Discussion: Application of computer simulations in science: Different simulations are used to meet specific requirements of the scientific field and the problem such as: Numerical simulation of a differential equation, which cannot be solved analytically. This category includes theories dealing with continuous systems, such as phenomena in physical cosmology, fluid dynamics ; Stochastic simulation, used for discrete systems, where changes occur on the basis of probability, and cannot be explained by equations. These include genetic changes, and biochemical and genetic regulatory processes; Modeling of molecules and their behavior for the purpose of creating drugs; CFD–Computational Fluid Dynamics.–computers are used to perform calculations, which describe the behavior of liquids and gases; Blue Brain project; Cognitive architecture and Movement of parasites in the human body. Conclusion: This paper presents explanations and examples of the application of computer simulations in order to solve everyday problems encountered, both in medicine and all other branches of science. Conclusion: Computer simulations are an invaluable blend of nature and technology, and are one of the main sources of hope for understanding and improving the world we live in.
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