Merge branch 'develop' into feature/new_quad_solvers

docs/README.md

@@ -82,6 +82,7 @@ root of the project and running:
 cd docs/pdf-doc-generation-with-sphinx
 bash create_pdf_doc.sh user-guide.pdf
 ```
+(You'll have to install these dependencies first: latexmk texlive-latex-recommended texlive-formats-extra).  
 Sphinx will create a `user-guide.pdf` file in `docs/pdf-doc-generation-with-sphinx`.
 
 ### Doxygen

docs/developer-guide/3-Build.md

@@ -67,10 +67,10 @@ Here is a list of mandatory or optional CMake configuration options:
 | `CMAKE_TOOLCHAIN_FILE` | no           | Path to VCPKG toolchain file, allows to integrate VCPKG with cmake build         | `../vcpkg/scripts/buildsystems/vcpkg.cmake` |                                                           |
 | `VCPKG_TARGET_TRIPLET` | no           | Define VCPKG triplet (build type for dependencies etc.)                          | `x64-windows-antares` / `x64-linux-antares` |                                                           |
 
-> 💡 **Disable the UI build to make builds faster**
+> 💡 **Disable the UI build to make builds faster**  
 > The UI takes up a good chunk of compilation time. It is enabled by default, but you can disable it by turning off `BUILD_UI`
 
-> 💡 **Use Ninja to speed up target generation by CMake**
+> 💡 **Use Ninja to speed up target generation by CMake**  
 > At configure time, you may specify Ninja for generation instead of traditional Make. This will speed up the update
 > step after you make small changes to the code.
 > ```

docs/developer-guide/Architecture/Dynamic-modeler-architecture.md

@@ -1,7 +1,7 @@
 # Dynamic modeler architecture
 
 ## Models
-(for details about these concepts, see [this page](../../user-guide/solver/dynamic-modeler/05-model.md))
+(for details about these concepts, see [this page](../../user-guide/modeler/05-model.md))
 
 ```plantuml
 @startuml
@@ -85,7 +85,7 @@ ModelLibraryRepository "1" *-- "0:N" ModelLibrary
 ```
 
 ## Components
-(for details about these concepts, see [this page](../../user-guide/solver/dynamic-modeler/05-model.md))
+(for details about these concepts, see [this page](../../user-guide/modeler/05-model.md))
 
 ```plantuml
 @startuml

docs/user-guide/00-index.md

@@ -6,7 +6,8 @@
 02-install.md
 03-getting_started.md
 solver/00-index.md
-ts-analyzer-generator/00-index.md
+modeler/00-index.md
+ts-generator/00-index.md
 other-features/00-index.md
 04-migration-guides.md
 05-attribution-notices.md

docs/user-guide/01-overview.md

@@ -34,7 +34,7 @@ the random factors that may affect the balance between load and generation. Econ
 as much a critical role as they do in the other kinds of studies since the stakes are mainly to know if and
 when supply security is likely to be jeopardized (detailed costs incurred in more ordinary conditions are of
 comparatively lower importance). In these studies, the default *Antares* option to use is the
-[`adequacy`](solver/static-modeler/04-parameters.md#mode) simulation mode.
+[`adequacy`](solver/04-parameters.md#mode) simulation mode.
 
 ### Transmission project profitability
 [//]: # (TODO: explain what "fair and perfect market" means)
@@ -45,7 +45,7 @@ and/or improvement of the security of supply (reduction of the loss-of-load expe
 In these studies, economic parameters and the physical modeling of the dynamic constraints bearing on
 the generating units are of paramount importance. Though a thorough survey of many "Monte-Carlo years"
 is still required, the number of scenarios to simulate is not as large as in generation adequacy studies.
-In these studies, the default *Antares* option to use is the [`economy`](solver/static-modeler/04-parameters.md#mode) simulation mode.
+In these studies, the default *Antares* option to use is the [`economy`](solver/04-parameters.md#mode) simulation mode.
 
 ## Performance considerations
 Typically, *Antares* has to solve a least-cost hydro-thermal power schedule and unit commitment problem, with an hourly 
@@ -54,7 +54,7 @@ The large number and the size of the individual problems to solve often make opt
 
 Depending on user-defined results accuracy requirements, various practical options[^2] allow to simplify either
 the formulation of the problems, or their resolution.
-[^2]: See [hydro-pricing-mode](solver/static-modeler/04-parameters.md#hydro-pricing-mode), [unit-commitment-mode](solver/static-modeler/04-parameters.md#unit-commitment-mode)
+[^2]: See [hydro-pricing-mode](solver/04-parameters.md#hydro-pricing-mode), [unit-commitment-mode](solver/04-parameters.md#unit-commitment-mode)
 
 [//]: # (TODO: list in [^2] the other parameters that have impact on performance)
 
@@ -73,4 +73,4 @@ operation problems (one for each week of each Monte-Carlo year), assumed to be i
 Note that, however, dependency issues such as the management of hydro stock (or any other kind of energy storage
 facility) may bring a significant coupling between the successive problems, which needs to be addressed properly[^3].
 
-[^3]: See how *Antares* addresses stock dependency between successive problems [here](solver/static-modeler/06-hydro-heuristics.md#seasonal-hydro-pre-allocation).
+[^3]: See how *Antares* addresses stock dependency between successive problems [here](solver/06-hydro-heuristics.md#seasonal-hydro-pre-allocation).

docs/user-guide/02-install.md

@@ -22,10 +22,10 @@ Installed alone, the Antares simulator does not require a lot of HDD space (less
 - The number of ready-made Time-Series and the number of Time-Series to be generated at runtime and stored afterward
   (see [these parameters](ts-generator/04-parameters.md#time-series-parameters)).
 - The activation of output filters
-  (see [thematic-trimming](solver/static-modeler/04-parameters.md#thematic-trimming) and [geographic-trimming](solver/static-modeler/04-parameters.md#geographic-trimming) parameters).
+  (see [thematic-trimming](solver/04-parameters.md#thematic-trimming) and [geographic-trimming](solver/04-parameters.md#geographic-trimming) parameters).
 - The number of Monte-Carlo years involved in the simulation session, if the storage of detailed
-  [year-by-year results](solver/static-modeler/04-parameters.md#year-by-year) is activated
-- Whether [MPS export](solver/static-modeler/04-parameters.md#include-exportmps) is activated
+  [year-by-year results](solver/04-parameters.md#year-by-year) is activated
+- Whether [MPS export](solver/04-parameters.md#include-exportmps) is activated
 
 If you encounter space issues, consider tweaking the aforementioned parameters or reducing your study size.
 
@@ -35,8 +35,8 @@ The amount of RAM required for a simulation depends on:
 
 - The size of the power system model (number of Areas, Links, Thermal clusters, etc.)
 - The number of ready-made Time-Series and that of Time-Series to be generated at runtime
-- The simulation [mode](solver/static-modeler/04-parameters.md#mode)
-- The [unit commitment resolution mode](solver/static-modeler/04-parameters.md#unit-commitment-mode)
+- The simulation [mode](solver/04-parameters.md#mode)
+- The [unit commitment resolution mode](solver/04-parameters.md#unit-commitment-mode)
 - If the [multi-threading](solver/optional-features/multi-threading.md) option is used
 
 If you encounter memory issues, consider tweaking the aforementioned parameters or reducing your study size. 

docs/user-guide/03-getting_started.md

@@ -56,16 +56,16 @@ These steps most often involve:
 
 1. Initializing or updating the input data (time-series, grid topology, fleet description, etc.).  
    *In this step, the user is expected to provide all the input data they have, except the time-series that are 
-   supposed to be [automatically generated](solver/static-modeler/04-parameters.md#generate) by *Antares* (see step (3)).*  
+   supposed to be [automatically generated](solver/04-parameters.md#generate) by *Antares* (see step (3)).*  
    *As stated above, it is highly recommended to use robust tools to produce input data, such as [Antares Web](https://antares-web.readthedocs.io) 
    or [Antares Extensions](#using-extensions).*   
 2. Defining the simulation contexts (definition of the "Monte-Carlo years" to simulate)
-3. *(Optional)* If some time-series are supposed to be [automatically generated](solver/static-modeler/04-parameters.md#generate), 
+3. *(Optional)* If some time-series are supposed to be [automatically generated](solver/04-parameters.md#generate), 
    running a simulation to produce actual numeric scenarios, following the directives defined in (2).  
    *In this step, the [ts-generator](ts-generator/01-overview-tsgenerator.md) tool should be used.*
 4. Running the optimization, to solve all the optimization problems associated with each of the scenarios produced in (3).  
    *In this step, the main [solver](solver/01-overview-solver.md) tool should be used.*
-5. Exploiting the detailed [results](solver/static-modeler/03-outputs.md) yielded by (4).  
+5. Exploiting the detailed [results](solver/03-outputs.md) yielded by (4).  
    *In this step, we recommend using [Antares Web](https://antares-web.readthedocs.io) 
    or [Antares Extensions](#using-extensions).*
 

docs/user-guide/solver/dynamic-modeler/00-index.md → docs/user-guide/modeler/00-index.md

@@ -1,15 +1,16 @@
 [//]: # (Index used by Sphinx to generate correct PDF tree)
 
-# Dynamic Modeler
+# Modeler
 
 ```{toctree}
 :hidden:
-01-overview-new-solver.md
+01-overview-modeler.md
 02-inputs.md
 03-outputs.md
 04-parameters.md
 05-model.md
 06-heuristics.md
 07-standard-library.md
 08-hybrid-studies.md
+09-command-line.md
 ```

docs/user-guide/solver/dynamic-modeler/01-overview-dynamic-modeler.md → docs/user-guide/modeler/01-overview-modeler.md

@@ -1,6 +1,6 @@
 # Overview
 
-_**Disclaimer: please note that the new Antares dynamic modeler is still under development, and that some of the 
+_**Disclaimer: please note that the new Antares modeler is still under development, and that some of the 
 features described in this section may still be unavailable**_
 
 The new Antares dynamic modeler allows more flexibility in the definition of physical models used in the simulation.