<ahref="#pub-methods">Public Member Functions</a>|
<ahref="classgridfire_1_1engine_1_1_dynamic_engine-members.html">List of all members</a></div>
<divclass="headertitle"><divclass="title">gridfire::engine::DynamicEngine Class Reference<spanclass="mlabels"><spanclass="mlabel abstract">abstract</span></span></div></div>
</div><!--header-->
<divclass="contents">
<p>Abstract class for engines supporting Jacobian and stoichiometry operations.
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Collaboration diagram for gridfire::engine::DynamicEngine:</div>
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<trclass="memdesc:ab6d95491f017feb4c43d9fa05739fcd0"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Generate the Jacobian matrix for the current state. <br/></td></tr>
<trclass="memdesc:a983551b5fef4610799c062cb5be2b1c7"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Generate the Jacobian matrix for the current state using a subset of active species. <br/></td></tr>
<trclass="memdesc:a78f7b315bfa0a1f34d8fd5ab652b6934"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Generate the Jacobian matrix for the current state with a specified sparsity pattern. <br/></td></tr>
<trclass="memdesc:abf0f13b9eae66da6119e6fca826379e8"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Calculate the molar reaction flow for a given reaction. <br/></td></tr>
<trclass="memdesc:a3fd5d4f3c58d1790b7a517b5ef888eaf"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Calculate the derivatives of the energy generation rate with respect to T and rho. <br/></td></tr>
<trclass="memdesc:a77a889cbc3791beca4abb95cb663a4d6"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Get the set of logical reactions in the network. <br/></td></tr>
<trclass="memdesc:ac87099ff654ca30a8d8224f4779e1a15"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Get the set of inactive reactions in the network. <br/></td></tr>
<trclass="memdesc:a92be21f072b61fcf291559246045801f"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Compute timescales for all species in the network. <br/></td></tr>
<trclass="memdesc:a128dd0a7f738f93092c437eeda983fdf"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Compute destruction timescales for all species in the network. <br/></td></tr>
<trclass="memdesc:a260d36cc1e14ca8eda0309745e9134d9"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Update the thread local scratch pad state of a network. <br/></td></tr>
<trclass="memdesc:a60834e4bcfb2e4ec21a9cbf7bb9f7363"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Get the current electron screening model. <br/></td></tr>
<trclass="memdesc:a16bd2fae51fa738da62f2a767f6875d2"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Get the index of a species in the network. <br/></td></tr>
<trclass="memdesc:a30df09678c3de1a55b7c6ac5eae35004"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Prime the engine with initial conditions. <br/></td></tr>
<trclass="memdesc:a078a16d21f2d7de9636c5bc6a05ddfec"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Recursively collect composition from current engine and any sub engines if they exist. <br/></td></tr>
<trclass="memdesc:a1fefd34491959f9936b7a065fc2d6274"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Get the status of a species in the network. <br/></td></tr>
<trclass="inherit_header pub_methods_classgridfire_1_1engine_1_1_engine"><tdcolspan="2"onclick="javascript:dynsection.toggleInherit('pub_methods_classgridfire_1_1engine_1_1_engine')"><imgsrc="closed.png"alt="-"/> Public Member Functions inherited from <aclass="el"href="classgridfire_1_1engine_1_1_engine.html">gridfire::engine::Engine</a></td></tr>
<trclass="memdesc:afa8b1970e20f4bab61e4d31ead09f930 inherit pub_methods_classgridfire_1_1engine_1_1_engine"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Get the list of species in the network. <br/></td></tr>
<trclass="memdesc:a71c9ed5e0810799cd6af1d8ffbc8a918 inherit pub_methods_classgridfire_1_1engine_1_1_engine"><tdclass="mdescLeft"> </td><tdclass="mdescRight">Calculate the right-hand side (dY/dt) and energy generation. <br/></td></tr>
<divclass="textblock"><p>Abstract class for engines supporting Jacobian and stoichiometry operations. </p>
<p>Extends <aclass="el"href="classgridfire_1_1engine_1_1_engine.html"title="Abstract base class for a reaction network engine.">Engine</a> with additional methods for:</p><ul>
<li>Generating and accessing the Jacobian matrix (for implicit solvers).</li>
<li>Generating and accessing the stoichiometry matrix.</li>
<li>Calculating molar reaction flows for individual reactions.</li>
<li>Accessing the set of logical reactions in the network.</li>
<li>Computing timescales for each species.</li>
</ul>
<p>Intended usage: Derive from this class to implement engines that support advanced solver features such as implicit integration, sensitivity analysis, QSE (Quasi-Steady-State Equilibrium) handling, and more. Generally this will be the main engine type </p>
</div><h2class="groupheader">Member Function Documentation</h2>
<p>Calculate the derivatives of the energy generation rate with respect to T and rho. </p>
<dlclass="params"><dt>Parameters</dt><dd>
<tableclass="params">
<tr><tdclass="paramname">comp</td><td>Composition object containing current abundances. </td></tr>
<tr><tdclass="paramname">T9</td><td>Temperature in units of 10^9 K. </td></tr>
<tr><tdclass="paramname">rho</td><td>Density in g/cm^3. </td></tr>
</table>
</dd>
</dl>
<dlclass="section return"><dt>Returns</dt><dd><aclass="el"href="structgridfire_1_1engine_1_1_energy_derivatives.html"title="Structure holding derivatives of energy generation rate with respect to T and rho.">EnergyDerivatives</a> containing dEps/dT and dEps/dRho.</dd></dl>
<p>This method computes the partial derivatives of the specific nuclear energy generation rate with respect to temperature and density for the current state. </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a8c12a3dd77c7f277a982b2e826de1b95">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#ab6e0458acf7855ff6472b96801048479">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#aa265b90b5ec153e1e71acb2d0e8fad36">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a1e6fe11b37d5ef6da00ec36d06ebc957">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a01c0ea8802358c2cbc6d8571a145775a">PyDynamicEngine</a>.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#aededeeeec7833c8f40b0aa27ff165833">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#afb78ba1245f5b61a29d6163c4548f6b6">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a154eda68e5df7f45b0e59b17761177b3">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a0ef7edd271cec2b1b0e74b828ee25dba">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a2f723f732e9a83c24c1e654885ec7eea">PyDynamicEngine</a>.</p>
<p>Recursively collect composition from current engine and any sub engines if they exist. </p>
<p>If species i is defined in comp and in any sub engine or self composition then the molar abundance of species i in the returned composition will be that defined in comp. If there are species defined in sub engine compositions which are not defined in comp then their molar abundances will be based on the reported values from each sub engine. </p><dlclass="section note"><dt>Note</dt><dd>It is up to each engine to decide how to handle filling in the return composition. </dd>
<dd>
These methods return an unfinalized composition which must then be finalized by the caller </dd></dl>
<tr><tdclass="paramname">comp</td><td>Input composition to "normalize". </td></tr>
<tr><tdclass="paramname">T9</td><td></td></tr>
<tr><tdclass="paramname">rho</td><td></td></tr>
</table>
</dd>
</dl>
<dlclass="section return"><dt>Returns</dt><dd>An updated composition which is a superset of comp. This may contain species which were culled, for example, by either QSE partitioning or reaction flow rate culling </dd></dl>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a7d4d16693db712b1823377ad460f5144">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a4002e188995b6c203dc391f381432e5b">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a1c977a772eedae1cceeb6b50d984fde4">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a5c7669454b986ed20db8387e5724b2b0">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a60445db14a6bfd0eeef7c0a62d458a60">PyDynamicEngine</a>.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a2e5d6985c84cc9c404080f8add5f5c18">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#ac126bed6dcdfa6b2888efa3a769b4490">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#acfe338ed3b10a4f116e58b2693a7fe10">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a80dc129ae2fc3dd2f1d82e123e7cda3f">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a6dc693583383d7237b3cede639b41f5f">PyDynamicEngine</a>.</p>
<tr><tdclass="paramname">comp</td><td>Composition object containing current abundances. </td></tr>
<tr><tdclass="paramname">T9</td><td>Temperature in units of 10^9 K. </td></tr>
<tr><tdclass="paramname">rho</td><td>Density in g/cm^3.</td></tr>
</table>
</dd>
</dl>
<p>This method must compute and store the Jacobian matrix (∂(dY/dt)_i/∂Y_j) for the current state. The matrix can then be accessed via getJacobianMatrixEntry(). </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a8d2ad2c011dede7b9abc508e0eead302">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#aa7d5c9288cfe23aa4435a89210280d83">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#ab7efbe72c39d2828eeed4e20f319a2c8">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#adb4206971c774362ca4a92acae64c0a8">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a13b42a3a523e4c14e06820a43f15041b">PyDynamicEngine</a>.</p>
<tr><tdclass="paramname">comp</td><td>Composition object containing current abundances. </td></tr>
<tr><tdclass="paramname">T9</td><td>Temperature in units of 10^9 K. </td></tr>
<tr><tdclass="paramname">rho</td><td>Density in g/cm^3. </td></tr>
<tr><tdclass="paramname">sparsityPattern</td><td>The sparsity pattern to use for the Jacobian matrix.</td></tr>
</table>
</dd>
</dl>
<p>This method must compute and store the Jacobian matrix (∂(dY/dt)_i/∂Y_j) for the current state using automatic differentiation, taking into account the provided sparsity pattern. The matrix can then be accessed via <code>getJacobianMatrixEntry()</code>.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a7ece1ddb7b891695b70566e29ed5ab8f">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a37ba76a5a0d0cb46d93df1982f196f11">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a7704e02c04de922ae6b01f4ba2b88148">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#ad515fb9edfe551329ded487d43257745">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#af9c4725bfc2cc8c85c63790e2385d55b">PyDynamicEngine</a>.</p>
<tr><tdclass="paramname">comp</td><td>Composition object containing current abundances. </td></tr>
<tr><tdclass="paramname">T9</td><td>Temperature in units of 10^9 K. </td></tr>
<tr><tdclass="paramname">rho</td><td>Density in g/cm^3. </td></tr>
<tr><tdclass="paramname">activeSpecies</td><td>The set of species to include in the Jacobian calculation.</td></tr>
</table>
</dd>
</dl>
<p>This method must compute and store the Jacobian matrix (∂(dY/dt)_i/∂Y_j) for the current state, considering only the specified subset of active species. The matrix can then be accessed via getJacobianMatrixEntry(). </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a6c279469be6f58b4213ea9f9cf9d07cc">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a1457e3aa9caae5d2fba17adc62f47c79">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a72130974401a22155dfd9a2e68192d56">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#ae8be625f7535f2957a5de7b525020388">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a5a2697b43cddeef2aeb40b604a0de933">PyDynamicEngine</a>.</p>
<p>Get the set of inactive reactions in the network. </p>
<dlclass="section return"><dt>Returns</dt><dd><aclass="el"href="classgridfire_1_1engine_1_1_reaction_set.html">ReactionSet</a> containing all inactive reactions.</dd></dl>
<p>By default, this method returns an empty set. Derived classes can override this method to provide the actual set of inactive reactions based on their internal logic (e.g., reaction flow culling, QSE partitioning). </p>
<p>Reimplemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a03857da090f2efb6d725bdd176f3e37e">gridfire::engine::AdaptiveEngineView</a>.</p>
<p>Reimplemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a4a9d62261b218d85a4a59d3402104d9b">gridfire::engine::AdaptiveEngineView</a>.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#abbb82ee0db6a3c033019004ef48b1bff">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a8d2685b85a46c3979ca23db7eaa618b5">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a0e484a5fcabc2ced4552e92078fcc03d">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a9eeedbcf35b6cb0341a51ba1dddc97fe">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a6db6bfd45e74517f837c1b83a9919924">PyDynamicEngine</a>.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a14363a95a15d66893d3bec0c3f69b34f">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#acec78c23ab9a29c6fe930cb54388e6eb">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a90e87465ba1e80af7124c0e4614d433b">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#ac2141220d0d504bb9c1cb31ce03d957e">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a78d0b8501591667f8593a929a5439692">PyDynamicEngine</a>.</p>
<divclass="ttc"id="anamespacegridfire_1_1screening_html_aa82aafbc4f8c28d0a75b60798e3a7d25"><divclass="ttname"><ahref="namespacegridfire_1_1screening.html#aa82aafbc4f8c28d0a75b60798e3a7d25">gridfire::screening::ScreeningType</a></div><divclass="ttdeci">ScreeningType</div><divclass="ttdoc">Enumerates the available plasma screening models.</div><divclass="ttdef"><b>Definition</b> screening_types.h:15</div></div>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a58d208da3143807baac98484aa260bd2">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a112fa152ca631af4dfd053e8689af7f5">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a69b478b15844d145219c9c5a4e515e59">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#afab9ea03b2f6b97e9c40249ab8834107">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#ae36830f13ee730dccc3a5a8b3e4d603c">PyDynamicEngine</a>.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a6fdf4ba999ca4ee089297380f3af9249">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a992c39d65298e3b58e529825889b7eea">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a32ab9175e93ae29f87b0903400cb3521">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a8e50f727ca6b42c27b9d5786e078ff6a">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#af5f39c10cfc932d006c08e4bd1c1bcad">PyDynamicEngine</a>.</p>
<tr><tdclass="paramname">species</td><td>The species to look up.</td></tr>
</table>
</dd>
</dl>
<p>This method allows querying the index of a specific species in the engine's internal representation. It is useful for accessing species data efficiently. </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a46c20214859cb8e112cfffc46c54d232">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a318de224195e7c953922c9f9ccfb8652">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a4d339f84e5f44af004b14d69ce10ee21">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#acc2a6a05b5587ca4ae615bff79bc6a61">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#abd2f90dc6bd506c2fd92045ba2a9e6cf">PyDynamicEngine</a>.</p>
<p>Get the status of a species in the network. </p>
<dlclass="params"><dt>Parameters</dt><dd>
<tableclass="params">
<tr><tdclass="paramname">species</td><td>The species to check. </td></tr>
</table>
</dd>
</dl>
<dlclass="section return"><dt>Returns</dt><dd><aclass="el"href="namespacegridfire_1_1engine.html#a83c9d755597668bba3cf00cd0ea10ee3"title="Enumerates the status of a species in the simulation.">SpeciesStatus</a> indicating whether the species is active, inactive, or culled.</dd></dl>
<p>This method allows querying the current status of a specific species within the engine's network. </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#af9de6a43920f64202c865d45ee131e10">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#ab8b22ee7d51ce5cc762759946967852c">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a763332410f64d2492785d2053bdad5fe">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a51abea9730a700dcffecdde9adbc0456">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#ac7232a79df901309c8f8b0b78788afe8">PyDynamicEngine</a>.</p>
<p>Compute timescales for all species in the network. </p>
<dlclass="params"><dt>Parameters</dt><dd>
<tableclass="params">
<tr><tdclass="paramname">comp</td><td>Composition object containing current abundances. </td></tr>
<tr><tdclass="paramname">T9</td><td>Temperature in units of 10^9 K. </td></tr>
<tr><tdclass="paramname">rho</td><td>Density in g/cm^3. </td></tr>
</table>
</dd>
</dl>
<dlclass="section return"><dt>Returns</dt><dd>Map from Species to their characteristic timescales (s).</dd></dl>
<p>This method estimates the timescale for abundance change of each species, which can be used for timestep control, diagnostics, and reaction network culling. </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#aae66fd327dc4d0e1a0e54a6e05a77e47">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#ae1d570486213d9bfc018a2f1ac3d4a21">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a88ee4feaa851d047d110cd0949ed845f">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#af40e016e8e0206462595ccf6281411ef">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a688269fb742d37ce15926ced80fa3f70">PyDynamicEngine</a>.</p>
<tr><tdclass="paramname">netIn</td><td>The input conditions for the network. </td></tr>
</table>
</dd>
</dl>
<dlclass="section return"><dt>Returns</dt><dd><aclass="el"href="structgridfire_1_1engine_1_1_priming_report.html"title="Captures the result of a network priming operation.">PrimingReport</a> containing information about the priming process.</dd></dl>
<p>This method is used to prepare the engine for calculations by setting up initial conditions, reactions, and species. It may involve compiling reaction rates, initializing internal data structures, and performing any necessary pre-computation. </p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#a27bb70d1426d6030779d83247a87b4a5">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#a25946bd58144c69152a7992dd2e093cc">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#ab77179dadc7c41551f8eb4a3321283d4">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a5dff14dcced4b23c42a72108b796e783">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#a25d827397e97c638cd87223684effebc">PyDynamicEngine</a>.</p>
<tr><tdclass="paramname">netIn</td><td>A struct containing the current network input, such as temperature, density, and composition.</td></tr>
</table>
</dd>
</dl>
<p>This method is intended to be implemented by derived classes to update their internal state based on the provided network conditions. For example, an adaptive engine might use this to re-evaluate which reactions and species are active. For other engines that do not support manually updating, this method might do nothing.</p>
<p>Implemented in <aclass="el"href="classgridfire_1_1engine_1_1_adaptive_engine_view.html#aa7b6561da6dd8513fef5c8c03737d433">gridfire::engine::AdaptiveEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_defined_engine_view.html#af52e0ce2ce80f08642c9a6dbf0adc929">gridfire::engine::DefinedEngineView</a>, <aclass="el"href="classgridfire_1_1engine_1_1_graph_engine.html#a58221a92813e13e43de48525980301d4">gridfire::engine::GraphEngine</a>, <aclass="el"href="classgridfire_1_1engine_1_1_multiscale_partitioning_engine_view.html#a063c097e6afdadabbb79fabd61b21d0b">gridfire::engine::MultiscalePartitioningEngineView</a>, and <aclass="el"href="class_py_dynamic_engine.html#abe31184ce7e63f7428b4a31ab39e7a8d">PyDynamicEngine</a>.</p>
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