fixup

devel/about_codegen.rst

@@ -8,5 +8,4 @@ Code generation and autotuning
    Describe code generation and autotuning (in developper doc).
 
 see
-:class:`~hysop.backend.device.autotunable_kernel.AutotunableKernel`
-       and :mod:`~hysop.symbolic`
+:class:`~hysop.backend.device.autotunable_kernel.AutotunableKernel` and :mod:`~hysop.symbolic`

devel/memo_sphinx.rst

@@ -40,14 +40,14 @@ To print a link to some HySoP object:
 
 An example of domain used for defining :class:`~hysop.fields.continuous_field.Field` and operators : :class:`~hysop.domain.box.Box`.
 
-Reference to :ref:`forces`.
+Reference to :ref:`domains`.
 
 References
 ------------
 
 In documentation, we recommend to use footnotecite in pages. The full
 bibliography is dedicated to references using HySoP\
-:footcite:p:`etancelin:tel-01094645`. Do not forget the Sphinx entry `.. footbibliography::` before end of file.
+:footcite:p:`etancelin:2014`. Do not forget the Sphinx entry `.. footbibliography::` before end of file.
 
 
 

examples/index.rst

@@ -13,13 +13,13 @@ Advection equation
 
 .. math::
 
-   \frac{\partial{\rho(\boldsymbol x, t)}}{\partial{t}} + \boldsymbolv(\boldsymbol x,t).\nabla \rho(\boldsymbol x,t) = 0
+   \frac{\partial{\rho(\boldsymbol x, t)}}{\partial{t}} + \boldsymbol v(\boldsymbol x,t).\nabla \rho(\boldsymbol x,t) = 0
 
 with
 
 .. math::
 
-   \boldsymbol v(\boldsymbol x,t) = (-\sin(\pi x)^2\sin(2\pi y),\sin(2\pi x)\sin(\piy)^2)
+   \boldsymbol v(\boldsymbol x,t) = (-\sin(\pi x)^2\sin(2\pi   y),\sin(2\pi x)\sin(\pi y)^2)
 
 .. math::
 

hysop.bib

@@ -167,15 +167,15 @@ keywords = {Direct numerical simulation, Hybrid method, Particle method, Turbule
 abstract = {This paper describes a novel hybrid method, combining a spectral and a particle method, to simulate the turbulent transport of a passive scalar. The method is studied from the point of view of accuracy and numerical cost. It leads to a significative speed up over more conventional grid-based methods and allows to address challenging Schmidt numbers. In particular, theoretical predictions of universal scaling in forced homogeneous turbulence are recovered for a wide range of Schmidt numbers for large, intermediate and small scales of the scalar.}
 }
 
-@thesis{perezparticle2023,
-  type = {phdthesis},
+@phdthesis{perezparticle2023,
   title = {Particle and Data-Driven Approaches for Reactive Micrometric Processes : Application to {{CO2}} Mineral Storage with Uncertainty Quantification.},
   shorttitle = {Particle and Data-Driven Approaches for Reactive Micrometric Processes},
   author = {Perez, Sarah},
   date = {2023-11-30},
+  year = {2023},
   institution = {Université de Pau et des Pays de l'Adour},
+  school = {Université de Pau et des Pays de l'Adour},
   url = {https://theses.hal.science/tel-04415185},
   urldate = {2024-05-02},
   langid = {english},
-  file = {/home/jmetancelin/Zotero/storage/W7VHYKQ4/Perez - 2023 - Particle and data-driven approaches for reactive m.pdf}
 }