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Added documentation for most modules
Only Spinors and Dirac are missing.
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docs/src/flow.md
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# Gradient flow
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The gradient flow equations can be integrated in two different ways:
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1. Using a fixed step-size integrator. In this approach one fixes the
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step size $\epsilon$ and the links are evolved from
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$V_\mu(t)$ to $V_\mu(t +\epsilon)$ using some integration
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scheme.
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1. Using an adaptive step-size integrator. In this approach one fixes
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the tolerance $h$ and the links are evolved for a time $t_{\rm
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end}$ (i.e. from $V_\mu(t)$ to $V_\mu(t +t_{\rm end})$)
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with the condition that the maximum error while advancing is not
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larger than $h$.
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In general adaptive step size integrators are much more efficient, but
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one loses the possibility to measure flow quantities at the
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intermediate times $\epsilon, 2\epsilon, 3\epsilon,...$. Adaptive
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step size integrators are ideal for finite size scaling studies, while
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a mix of both integrators is the most efficient approach in scale
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setting applications.
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## Integration schemes
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```@docs
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FlowIntr
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wfl_euler
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zfl_euler
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wfl_rk2
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zfl_rk2
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wfl_rk3
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zfl_rk3
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```
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## Integrating the flow equations
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```@docs
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flw
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flw_adapt
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```
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## Observables
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```@docs
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Eoft_plaq
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Eoft_clover
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Qtop
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```
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