function secondLoopProgramPowersOfTenVersionDouble % translation of second loop program in Ch 10 from C to Matlab, % using powers of 10 instead of powers of 2, % and using double instead of single Copyright By PowCoder代写 加微信 powcoder while y > 1 x = x/10; % divide by 10 y = 1 + x; n = […]
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SWEN90004 Modelling Complex Software Systems Lecture Cx.03 ODE Models I: Predator-Prey Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 SLIDE 1 Recap complex systems building a mathematical model assumptions states update rules population growth models exponential logistic behaviour of dynamic systems fixed points
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Student IT Software Installation Guides MATLAB R2020a ¡ª macOS Account Registration 1. On the MathWorks website, select Sign In at the top right-hand corner. 2. SelectCreateAccount. 1 studentit.unimelb.edu.au Prepared March 2020 3. Enteryourpersonaldetailsusingyouruniversityemailaddress *username*@student.unimelb.edu.au or *username*@unimelb.edu.au if you are a staff member (replace *username* with your own university username). 4. CheckyouruniversityemailtoverifyyourMathWorksaccount. 2 studentit.unimelb.edu.au Prepared March
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SWEN90004 Modelling Complex Software Systems Lecture Cx.05 Cellular Automata I: 1D and 2D CAs Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 SLIDE 1 Objectives understand the limits of mathematical models introduce cellular automata – a bottom-up approach to modelling complex systems explore the behaviour of 1- and 2-dimensional CAs. SLIDE
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School of Computing and Information Systems SWEN90004 Modelling Complex Software Systems Complex Systems Workshop 2 solutions The exercises 1. Logistic map (a) The population dies out (x ¡ú 0). Large values of x0 will collapse rapidly before fading away. (b) The system converges to a stable fixed point attractor (a constant population size), the exact
SWEN90004 Modelling Complex Software Systems Lecture Cx.03 ODE Models I: Predator-Prey Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 1 / 28 Recap complex systems building a mathematical model assumptions states update rules population growth models exponential logistic behaviour of dynamic systems fixed points
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The University of Melbourne SWEN90004: Modelling Complex Software Systems Workshop Cx.05: Putting it all together First Semester, 2021 This workshop provides an opportunity to bring together the knowledge you have acquired over the preceding five weeks of SWEN90004. Form groups of 4–6 people and spend about 10 minutes on each task. Background This workshop uses
SWEN90004 Modelling Complex Software Systems Lectures Cx.04 ODE Models II: Epidemics Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 1 / 51 Recap building a mathematical model starting with a simple model extending models to include additional aspects of real world models: populaton growth species interaction (predator-prey)
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SWEN90004 Modelling Complex Software Systems Lecture Cx.02 Dynamical Systems and Chaos Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 SLIDE 1 Overview In this lecture, you will learn about: using mathematics to model a system’s behaviour two mathematical models of population growth (exponential and logistic) chaotic behaviour in (discrete) systems SLIDE
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SWEN90004 Modelling Complex Software Systems Lecture Cx.03 ODE Models I: Predator-Prey Artem Polyvyanyy, Nic Geard artem.polyvyanyy@unimelb.edu.au; nicholas.geard@unimelb.edu.au Semester 1, 2021 1 / 28 Recap I complex systems I building a mathematical model I assumptions I states I update rules I population growth models I exponential I logistic I behaviour of dynamic systems I fixed points
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