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docs/usage.rst

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@@ -81,11 +81,10 @@ Optional parameters can be passed to the ``solve()`` method to control the behav
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Visualizing solutions
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---------------------
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OTP has built-in plotting capabilities for visualizing the computed
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``OTP`` has built-in plotting capabilities for visualizing the computed
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solution. The ``plot()`` method can be used to plot the solution
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trajectory. The ``plotPhaseSpace()`` method creates a phase-space
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diagram by visualizing all spatial-components of the state vector. OTP
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also supports animations for the computed solution.
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diagram by visualizing all spatial-components of the state vector.
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.. code:: matlab
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@@ -95,15 +94,22 @@ also supports animations for the computed solution.
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% Plot the Phase-Space solution
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problem.plotPhaseSpace(sol);
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.. image:: ../images/Lorenz-solution-plot.png
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:width: 200
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.. image:: ../images/Lorenz-Phase-plot.png
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:width: 200
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``OTP`` also supports animations for the computed solution:
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.. code:: matlab
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% Create a movie of the solution
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problem.movie(sol);
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.. video:: ../_static/Lorenz-Original-Canonical.webm
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:loop:
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:width: 200
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Changing the parameters
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------------------------
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You can change the parameters of the problem by modifying the
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odeset('Jacobian', problem.RHS.Jacobian));
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This is particularly useful when you want to compare the performance of different solvers on the same problem.
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Next Steps
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Next steps
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------------------------
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Explore different problems available in OTP by browsing the Problems Gallery in the sidebar. You can define your custom
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problems by creating a new class that inherits from the ``otp.Problem`` class.

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