'Logistic equation' presentation slideshows

Ecology

Ecology. Biomes Behavior Populations Community Symbiosis Competition Succession Ecosystems. Density dependant inhibition Density independent inhibition R selected species K selected species.

1.08k views • 62 slides

Sorin Solomon, Hebrew University of Jerusalem

Sorin Solomon, Hebrew University of Jerusalem. Physics , Economics and Ecology. Boltzmann , Pareto and Volterra. Sorin Solomon, Hebrew University of Jerusalem. Physics , Economics and Ecology. Boltzmann , Pareto and Volterra. Lotka. Volterra. +. + c i.

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Dynamic Growth Modeling

574 views • 43 slides

Lecture 6

535 views • 34 slides

Railroads in Illinois

498 views • 34 slides

Lecture IV

499 views • 34 slides

Complexity as Theoretical Applied Science

Complexity as Theoretical Applied Science.

419 views • 32 slides

Mathematical Modelling

Mathematical Modelling. Classes of models Ordinary d.e. (Box models) Partial d.e. (Diffusion & Advection) Stochastic (different time & length scales) Discrete dyn. (e.g., Population dynamics). Liouville equation. d/dt x = A(x) d/d t r( x,t ) = - d/d x ( A( x ) . r( x,t) ). t.

432 views • 27 slides

The Logistic Equation

The Logistic Equation. Robert M. Hayes 2003. Overview. Historical Context Summary of Relevant Models Logistic Difference Growth Model Linear Growth The Logistic Equation . Historical Context.

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159 Lecture 7

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Ch 2.5: Autonomous Equations and Population Dynamics

Ch 2.5: Autonomous Equations and Population Dynamics. In this section we examine equations of the form d y/dt = f ( y ), called autonomous equations, where the independent variable t does not appear explicitly .

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Ch 2.5: Autonomous Equations and Population Dynamics

Ch 2.5: Autonomous Equations and Population Dynamics. In this section we examine equations of the form y ' = f ( y ), called autonomous equations, where the independent variable t does not appear explicitly .

300 views • 22 slides

Population increase

Population increase. We can measure the rate of change in a population by the ratio of the number at time 1 to that at time zero N 1 / N 0 = R = Finite rate of increase or Multiplication Rate Natural log of this ratio is ln (N 1 / N 0 ) = Instantaneous rate of increase = r

501 views • 22 slides

Today: Limits Involving Infinity

Today: Limits Involving Infinity . Infinite limits. Limits at infinity. lim f(x) = L x -> ?. lim f(x) = ? x -> a. Infinite Limits. CHAPTER 2. 2.4 Continuity. (see Sec 2.2, pp 98-101) . CHAPTER 2.

533 views • 20 slides

In-Delta Storage Program Water Quality Field Investigations Stakeholders Committee Meeting January 22, 2003 Robert DuVal

In-Delta Storage Program Water Quality Field Investigations Stakeholders Committee Meeting January 22, 2003 Robert DuVall. Outline. Overview of field studies Organic carbon loading algorithm Next steps. Water Quality Studies Conducted: 1999 2000 2002 2003 2004

291 views • 19 slides

Population Modeling

Population Modeling. Mathematical Biology Lecture 2 James A. Glazier (Partially Based on Brittain Chapter 1). Population Models. Simple and a Good Introduction to Methods Two Types Continuum [Britton, Chapter 1] Discrete [Britton, Chapter 2]. Continuum Population Models.

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Chaos Identification

Chaos Identification. For the driven, damped pendulum , we found chaos for some values of the parameters (the driving torque F ) & not for others. Similarly, for the Logistic Equation , we found chaos for some values of ? & not for others. Questions:

274 views • 15 slides

Analyzing Stability in Dynamical Systems

Analyzing Stability in Dynamical Systems. Jade Holst , Wartburg College Daniel Harrison, Asbury College Mohamed Jardak, Florida State University. One Dimensional Maps. The logistic equation is a classic example of a potentially chaotic dynamical system. We have.

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Harvesting of Populations

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CHAPTER 2

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