Changeset 5498
- Timestamp:
- 08/23/10 09:23:32 (15 years ago)
- Location:
- issm/trunk/test/NightlyRun
- Files:
-
- 9 edited
Legend:
- Unmodified
- Added
- Removed
-
issm/trunk/test/NightlyRun/test235.m
r5355 r5498 61 61 %Dakota options 62 62 %variables 63 md.variables.rheology_B=normal_uncertain(' RheologyBbar',1,.5);63 md.variables.rheology_B=normal_uncertain('scaled_RheologyBbar',1,.5); 64 64 65 65 %responses … … 74 74 md.qmu_params.evaluation_concurrency=1; 75 75 md.qmu_params.interval_type='forward'; 76 md.qmu_params.tabular_graphics_data=true;77 76 78 77 %imperative! … … 85 84 %Fields and tolerances to track changes 86 85 md=tres(md,'dakota'); 87 md.results.dakota.importancefactors=importancefactors(md,' RheologyBbar','MaxVel')';86 md.results.dakota.importancefactors=importancefactors(md,'scaled_RheologyBbar','MaxVel')'; 88 87 field_names ={'importancefactors'}; 89 88 field_tolerances={1e-11}; -
issm/trunk/test/NightlyRun/test236.m
r5355 r5498 61 61 %Dakota options 62 62 %variables 63 md.variables.rheology_B=normal_uncertain(' RheologyBbar',1,.5);63 md.variables.rheology_B=normal_uncertain('scaled_RheologyBbar',1,.05); 64 64 65 65 %responses … … 74 74 md.qmu_params.evaluation_concurrency=1; 75 75 md.qmu_params.interval_type='forward'; 76 md.qmu_params.tabular_graphics_data=true;77 76 78 77 %imperative! … … 85 84 %Fields and tolerances to track changes 86 85 md=tres(md,'dakota'); 87 md.results.dakota.importancefactors=importancefactors(md,' RheologyBbar','MaxVel')';86 md.results.dakota.importancefactors=importancefactors(md,'scaled_RheologyBbar','MaxVel')'; 88 87 field_names ={'importancefactors'}; 89 88 field_tolerances={1e-13}; -
issm/trunk/test/NightlyRun/test423.m
r5214 r5498 14 14 %variables 15 15 md.variables.rho_ice=normal_uncertain('RhoIce',md.rho_ice,0.01); 16 17 %md.variables.drag_coefficient=normal_uncertain('DragCoefficient',1,.01); 18 md.variables.drag_coefficient=normal_uncertain('DragCoefficient',1,.01*ones(md.npart,1)); 16 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,.01); 17 %md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,.01*ones(md.npart,1)); 19 18 20 19 %responses … … 29 28 md.qmu_params.evaluation_concurrency=1; 30 29 md.qmu_params.interval_type='forward'; 31 md.qmu_params.tabular_graphics_data=true;32 30 33 31 … … 40 38 %Fields and tolerances to track changes 41 39 md=tres(md,'dakota'); 42 md.results.dakota.importancefactors=importancefactors(md,' DragCoefficient','MaxVel')';40 md.results.dakota.importancefactors=importancefactors(md,'scaled_DragCoefficient','MaxVel')'; 43 41 field_names ={'importancefactors'}; 44 42 field_tolerances={1e-11}; -
issm/trunk/test/NightlyRun/test424.m
r5214 r5498 15 15 %variables 16 16 md.variables.rho_ice=normal_uncertain('RhoIce',md.rho_ice,0.01); 17 md.variables.drag_coefficient=normal_uncertain(' DragCoefficient',1,0.01);17 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,0.01); 18 18 19 19 %responses … … 28 28 md.qmu_params.evaluation_concurrency=1; 29 29 md.qmu_params.interval_type='forward'; 30 md.qmu_params.tabular_graphics_data=true;31 30 32 31 %imperative! … … 38 37 %Fields and tolerances to track changes 39 38 md=tres(md,'dakota'); 40 md.results.dakota.importancefactors=importancefactors(md,' DragCoefficient','MaxVel')';39 md.results.dakota.importancefactors=importancefactors(md,'scaled_DragCoefficient','MaxVel')'; 41 40 field_names ={'importancefactors'}; 42 41 field_tolerances={1e-10}; -
issm/trunk/test/NightlyRun/test425.m
r5193 r5498 14 14 %variables 15 15 md.variables.rho_ice=normal_uncertain('RhoIce',md.rho_ice,0.01); 16 md.variables.drag_coefficient=normal_uncertain(' DragCoefficient',1,0.01);16 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,0.01); 17 17 18 18 %responses … … 27 27 md.qmu_params.evaluation_concurrency=1; 28 28 md.qmu_params.interval_type='forward'; 29 md.qmu_params.tabular_graphics_data=true;30 29 31 30 … … 39 38 %Fields and tolerances to track changes 40 39 md=tres(md,'dakota'); 41 md.results.dakota.importancefactors=importancefactors(md,' DragCoefficient','MaxVel')';40 md.results.dakota.importancefactors=importancefactors(md,'scaled_DragCoefficient','MaxVel')'; 42 41 field_names ={'importancefactors'}; 43 42 field_tolerances={1e-11}; -
issm/trunk/test/NightlyRun/test426.m
r5303 r5498 14 14 %variables 15 15 md.variables.rho_ice=normal_uncertain('RhoIce',md.rho_ice,0.01); 16 md.variables.drag_coefficient=normal_uncertain(' DragCoefficient',1,0.01);16 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,0.01); 17 17 18 18 %responses … … 27 27 md.qmu_params.evaluation_concurrency=1; 28 28 md.qmu_params.interval_type='forward'; 29 md.qmu_params.tabular_graphics_data=true;30 29 31 30 … … 39 38 %Fields and tolerances to track changes 40 39 md=tres(md,'dakota'); 41 md.results.dakota.importancefactors=importancefactors(md,' DragCoefficient','MaxVel')';40 md.results.dakota.importancefactors=importancefactors(md,'scaled_DragCoefficient','MaxVel')'; 42 41 field_names ={'importancefactors'}; 43 42 field_tolerances={1e-10}; -
issm/trunk/test/NightlyRun/test427.m
r5193 r5498 21 21 22 22 %variables 23 md.variables.drag_coefficient=normal_uncertain(' DragCoefficient',1,0.01);23 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,0.01); 24 24 25 25 %responses 26 26 md.responses.MaxVel=response_function('MaxVel',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 27 md.responses.MassFlux1=response_function(' MassFlux1',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);28 md.responses.MassFlux2=response_function(' MassFlux2',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);29 md.responses.MassFlux3=response_function(' MassFlux3',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);30 md.responses.MassFlux4=response_function(' MassFlux4',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);31 md.responses.MassFlux5=response_function(' MassFlux5',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);32 md.responses.massFlux6=response_function(' MassFlux6',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);27 md.responses.MassFlux1=response_function('indexed_MassFlux_1',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 28 md.responses.MassFlux2=response_function('indexed_MassFlux_2',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 29 md.responses.MassFlux3=response_function('indexed_MassFlux_3',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 30 md.responses.MassFlux4=response_function('indexed_MassFlux_4',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 31 md.responses.MassFlux5=response_function('indexed_MassFlux_5',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 32 md.responses.massFlux6=response_function('indexed_MassFlux_6',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 33 33 34 34 %mass flux profiles … … 44 44 md.qmu_params.evaluation_concurrency=1; 45 45 md.qmu_params.interval_type='forward'; 46 md.qmu_params.tabular_graphics_data=true;47 46 md.qmu_analysis=1; 48 47 md.eps_rel=10^-5; %tighten for qmu analyses -
issm/trunk/test/NightlyRun/test428.m
r5193 r5498 21 21 22 22 %variables 23 md.variables.drag_coefficient=normal_uncertain(' DragCoefficient',1,0.01);23 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,0.01); 24 24 25 25 %responses 26 26 md.responses.MaxVel=response_function('MaxVel',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 27 md.responses.MassFlux1=response_function(' MassFlux1',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);28 md.responses.MassFlux2=response_function(' MassFlux2',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);29 md.responses.MassFlux3=response_function(' MassFlux3',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);30 md.responses.MassFlux4=response_function(' MassFlux4',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);31 md.responses.MassFlux5=response_function(' MassFlux5',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);32 md.responses. massFlux6=response_function('MassFlux6',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]);27 md.responses.MassFlux1=response_function('indexed_MassFlux_1',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 28 md.responses.MassFlux2=response_function('indexed_MassFlux_2',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 29 md.responses.MassFlux3=response_function('indexed_MassFlux_3',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 30 md.responses.MassFlux4=response_function('indexed_MassFlux_4',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 31 md.responses.MassFlux5=response_function('indexed_MassFlux_5',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 32 md.responses.MassFlux6=response_function('indexed_MassFlux_6',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 33 33 34 34 %mass flux profiles … … 44 44 md.qmu_params.evaluation_concurrency=1; 45 45 md.qmu_params.interval_type='forward'; 46 md.qmu_params.tabular_graphics_data=true;47 46 md.qmu_analysis=1; 48 47 md.eps_rel=10^-5; %tighten for qmu analyses -
issm/trunk/test/NightlyRun/test434.m
r5118 r5498 14 14 15 15 %Dakota options 16 md.variables.nuv=normal_uncertain.empty(); 17 md.variables.nuv(end+1)=normal_uncertain('DragCoefficient',1,0.01); 16 md.variables.drag_coefficient=normal_uncertain('scaled_DragCoefficient',1,0.01); 18 17 19 md.responses=struct(); 20 md.responses.rf =response_function.empty(); 21 md.responses.rf (end+1)=response_function('MaxVel',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 22 md.responses.rf (end+1)=response_function('MassFlux1',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 23 md.responses.rf (end+1)=response_function('MassFlux2',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 24 md.responses.rf (end+1)=response_function('MassFlux3',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 25 md.responses.rf (end+1)=response_function('MassFlux4',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 26 md.responses.rf (end+1)=response_function('MassFlux5',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 27 md.responses.rf (end+1)=response_function('MassFlux6',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 18 md.responses.MaxVel=response_function('MaxVel',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 19 md.responses.MassFlux1=response_function('indexed_MassFlux_1',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 20 md.responses.MassFlux2=response_function('indexed_MassFlux_2',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 21 md.responses.MassFlux3=response_function('indexed_MassFlux_3',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 22 md.responses.MassFlux4=response_function('indexed_MassFlux_4',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 23 md.responses.MassFlux5=response_function('indexed_MassFlux_5',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 24 md.responses.MassFlux6=response_function('indexed_MassFlux_6',[],[0.0001 0.001 0.01 0.25 0.5 0.75 0.99 0.999 0.9999]); 28 25 29 26 %mass flux profiles 30 27 md.qmu_mass_flux_profiles={'../Exp/MassFlux1.exp','../Exp/MassFlux2.exp','../Exp/MassFlux3.exp','../Exp/MassFlux4.exp','../Exp/MassFlux5.exp','../Exp/MassFlux6.exp'}; 31 28 md.qmu_mass_flux_profile_directory=pwd; 32 33 29 34 30
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