Changes between Version 16 and Version 17 of doc/app/agent_parameters

Timestamp:

Sep 6, 2018 9:37:17 AM (6 years ago)

Author:

sward

Comment:

--

doc/app/agent_parameters

@@ -277 +277 @@
 {{{#!td
 Manually set size for agent-number dimension.\\\\
-Agent output has two dimensions, time and agent number. By default, the size of the latter is estimated via the output interval and amount, the MAS simulation time and [#agent_maximum_age agent_maximum_age]. This is a maximum estimation and may thus be much too large. Use **dim_size_agtnum_manual** to explicitly set the dimension size.\\\\
+Agent output has two dimensions, time and agent number. By default, the size of the latter is estimated via the output interval and amount, the MAS simulation time and [#agent_maximum_age agent_maximum_age]. This is a maximum estimation and may thus be much too large. Use **dim_size_agtnum_manual** to explicitly set the dimension size.\\
+In case [#dim_size_factor_agtnum dim_size_factor_agtnum] is also set, the minimum of the resulting dimension sizes is chosen.\\\\
 **WARNING:** This may lead to the dimension being smaller than the number of agents and thus data loss.
 }}}
@@ -292 +293 @@
 {{{#!td
 Factor to modify the agent-number dimension size for agent output.\\\\
-Agent output has two dimensions, time and agent number. By default, the size of the latter is estimated via the output interval and amount, the MAS simulation time and [#agent_maximum_age agent_maximum_age]. This is a maximum estimation and may thus be much too large. Use **dim_size_factor_agtnum** to reduce the dimension size.\\\\
+Agent output has two dimensions, time and agent number. By default, the size of the latter is estimated via the output interval and amount, the MAS simulation time and [#agent_maximum_age agent_maximum_age]. This is a maximum estimation and may thus be much too large. Use **dim_size_factor_agtnum** to reduce the dimension size.\\
+In case [#dim_size_agtnum_manual dim_size_agtnum_manual] is also set, the minimum of the resulting dimension sizes is chosen.\\\\
 **WARNING:**  This may lead to the dimension being smaller than the number of agents and thus data loss.
 }}}