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Example Set for ODE Architect

by Robert Borrelli, Courtney Coleman

Abstract: The examples in this collection illustrate some of the features of ODE Architect. These units are independent of one another and for convenience are divided into three groups: elementary, intermediate and advanced. Each unit includes several screen shots from ODE Architect. These shots illustrate how to supply data to the Architect solver tool which will result in the pictured graphs.


 

This scanned document is broken up into smaller sections for convenience.

  1. Lascaux Cave Paintings: Radioactive decay. Using computer model to approximate age. Backward IVP. Scaling.
  2. Vertical Motion: Uses Newton's Second Law to model vertical motion. Scaling. ODE Architect is used to answer the question "Does a body take longer to rise or fall?" Solution formula is not helpful in answering this question if air resistance is taken into account.
  3. Sprint: Models strategies for running 100 meters. Compares results with real data.
  4. Samurai Sword: Uses a computer model to design an efficient cutting instrument. Also derives a solution formula in polar coordinates which describes the sword's edge mathematically.
  • Intermediate Units
  1. Lead in the Body: Linear system modeled with the Balance Law. Examines sensitivity of solutions to the environmental parameters. ODE Architect will find eigenvalues and steady-states.
  2. Coaxial Cable: Uses on-off functions as inputs to a simple RC-circuit for sending a coded message. Examines sensitivity of output to the frequency of the input.
  3. Air-Conditioning: Uses Newton's Law of Cooling to describe how an air-conditioner keeps a room's temperature within a prescribed range.
  4. Sky Diver: Determines when a sky diver should pull the rip cord to minimize descent time (and survive). ODE Architect solves the problem by overlapping graphs of a forward IVP and a backward IVP.
  5. Good Solver, Bad Behavior: Things may go wrong even when using a good numerical ODE solver: aliasing, extension, choice of step-size, etc.
  • Advanced Units
  1. Van der Pol: A nonlinear model with a limit cycle. Effect of parameter on shape and period of the limit cycle, and animation of Hopf bifurcation. ODE Architect automatically calculates the eigenvalues of the linearized system.
  2. Lorenz: ODE Architect finds equilibrium points and eigenvalues of the linearized Lorenz system and graphically illustrates how parameter changes affect stability. 3-D graphs of chaotic wandering, period doubling sequences.
  3. Battle of the Bulge: Actual combat data from the battle is used to determine the coefficients for a combat model. The modeling linear system is solved by ODE Architect and the results are compared with the actual data.
  4. Autocatalator: Interacting chemical species in an autocatalytic reaction lead to a nonlinear system which exhibits peculiar oscillatory behavior. ODE Architect shows how changing the rate constants can be used to turn the oscillations on and off.
  5. Satiable Predation: Predator-prey model where the predator's appetite satiates. A sensitivity study shows a Hopf bifurcation followed by a reverse Hopf bifurcation. Illustrated via animation.
  6. Rotational Stability: Examines the stability of steady rotations of a rigid body (like a book or tennis racket) when tossed in the air. 3-D graphs clearly shows which steady rotations are stable and which are unstable.
  7. Fitzhugh-Nagumo: Uses ODE Architect to show how a planar system of ODEs representing a neuron responds to a stimulus.

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