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docs/make.jl

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```
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=#
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draft = true # Draft mode: if true, @example blocks in markdown are not executed
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draft = false # Draft mode: if true, @example blocks in markdown are not executed
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# ═══════════════════════════════════════════════════════════════════════════════
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# Build documentation

docs/src/tutorial-continuation.md

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# [Discrete continuation](@id tutorial-continuation)
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By using the warm start option, it is easy to implement a basic discrete continuation method, in which a sequence of problems is solved by using each solution as the initial guess for the next problem. This approach typically leads to faster and more reliable convergence than solving each problem with the same initial guess and is particularly useful for problems that require a good initial guess to converge.
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## Continuation on parametric OCP

docs/src/tutorial-symbolics-save.md

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docs/src/tutorial-symbolics.md

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# Cart-Pole Limit Cycle via Symbolic Lagrangian Mechanics
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This tutorial demonstrates how to combine **symbolic derivation of equations of motion** (via
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[`Symbolics.jl`](https://symbolics.juliasymbolics.org/)) with **direct optimal control**
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(via [OptimalControl.jl](https://control-toolbox.org/OptimalControl.jl/)) to find a

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