OUU: Problem with constraint

[fsoepyan]

I tried to run OUU, where I have a constraint.

• To do this, I made up a constraint variable in the Flowsheet, where the value of the variable has to be negative.
• In the OUU tab, under "Outputs", I specified the constraint variable as "Inequality Constraint".
• Shortly after clicking "Run OUU", I received the following error message:

[ou3llnl]

@fsoepyan : Immediately after encountering this error, what are the contents of psuadelog in the working directory?

[fsoepyan]

Below are the contents of psuadelog:

---

• Welcome to PSUADE (version 1.7.6)

  ---

  PSUADE - A Problem Solving environment for Uncertainty Analysis and Design Exploration (1.7.6) (for help, enter )

  psuade> INFO: Creating a sample assuming all uncertain parameters are uniformly distributed.

  ---

  PSUADE : Search for local minima in sample space. number of samples = 1 optimization starting point 1 : 7.09285750e+003 2.71795872e+003 1.16434754e-001 1.94058629e-001 -1.90002203e+008 -4.92101578e+008 -3.31029203e+008 -6.91168575e+008 2.92320312e+001 -8.05993567e+003 4.11246349e+000 5.06979330e+000 -2.31397522e+003 1.55276140e+000 -1.09545309e-001 8.74878919e+000 7.15953819e-001 Y = 1.00000000e+035

  ---

  ---

  PSUADE OPTIMIZATION 1 (1) : starting X( 1) = 7.09285750e+003 starting X( 2) = 2.71795872e+003 starting X( 3) = 1.16434754e-001 starting X( 4) = 1.94058629e-001 starting X( 5) = -1.90002203e+008 starting X( 6) = -4.92101578e+008 starting X( 7) = -3.31029203e+008 starting X( 8) = -6.91168575e+008 starting X( 9) = 2.92320312e+001 starting X( 10) = -8.05993567e+003 starting X( 11) = 4.11246349e+000 starting X( 12) = 5.06979330e+000 starting X( 13) = -2.31397522e+003 starting X( 14) = 1.55276140e+000 starting X( 15) = -1.09545309e-001 starting X( 16) = 8.74878919e+000 starting X( 17) = 7.15953819e-001 starting Y = 1.00000000e+035

  ---

  ---

• 1- OR 2-STAGE OPTIMIZATION UNDER UNCERTAINTY (OUU)

  This optimization capability solves the following problem:

  minimizeZ1 { Phi{Z3,Z4} [ G(Z1,Z2,Z3,Z4) ] }

  subject to either: (a) bound constraints on Z1, Z2, and Z4 (use bobyqa); or (b) no constraint on Z1, Z2, and Z4 (use newuoa); or (c) inequality constraints on Z1,Z2,Z3,Z4 (use cobyla) as the level-1 optimizer.)

  Z3 is a set of discrete parameters for which a sample

  is to be provided by the user.

  (0) How to perform regular optimization? In this case

  • Z1 will be the optimization variables
  • Z2 should be an empty set
  • Z3 should be an empty set
  • Z4 should be an empty set
  • G(Z1,Z3,Z4)=G(Z1) is the simulator (opt_driver) (1) How to perform 1-level OUU? In this case
  • Z1: the optimization variables
  • Z2: should be an empty set
  • Z3: parameters that you will provide a sample for.
  • Z4: parameters that you do not provide a sample. (optionally, you can choose sampling schemed and whether you want response surface for Z4).
  • G(Z1,Z3,Z4) is the simulator (opt_driver)

  (2) How to perform 2-level OUU? In this case

  • Z1: the optimization variables
  • Z2: the set of level-2 optimization parameters. If Z2 do not need to be published outside of the G function, then it can be specified as an empty set.
  • Z3: parameters that you will provide a sample for.
  • Z4: parameters that you do not provide a sample.

  • There are 2 options to how to set up G(Z1,Z2,Z3,Z4): (a) A user-provided level 2 optimizer that does

      G(Z1,Z2,Z3,Z4) = minimize_Z2{F(Z1,Z2,Z3,Z4)}
    
     where F(Z1,Z2,Z3,Z4) is embedded in G(Z1,...)
    
     In this case, the user will provide G(Z1,...)
     via opt_driver (i.e. opt_driver = gfunction)

    (b) A user-provided function F(Z1,...) such that

      G(Z1,Z2,Z3,Z4) = minimize_Z2 {F(Z1,Z2,Z3,Z4)}
    
     In this case, user is expected to provide the
     F(Z1,...) function via 'opt_driver = ffunction'
     and OUU provides the optimizer (BOBYQA).

  In case 1 and 2, Phi{Z3,Z4} is a functional on G(Z1,...) with respect to Z3 and Z4, e.g. Phi{Z3,Z4} may be:

  1. mean of G(Z1,Z2,Z3,Z4) with respect to Z3,Z4 (default)
  2. mean of G(Z1,Z2,Z3,Z4) + alpha * std dev of G(Z1,...)
  3. G(Z1,Z2,Z3,Z4) such that Prob(G(Z1,Z2,Z3,Z4)>G(Z1,Z2,Z3,Z4)) = epsilon

  4. min_{Z3,Z4} G(Z1,Z2,Z3,Z4) given Z1,Z2 (robust opt.)

     In the above formulation, the total no. of parameters M = 17 These parameters are to be divided into four groups: (1) Stage 1 optimization parameters Z1 (M1 >= 1) (2) Stage 2 optimization (recourse) parameters Z2 (3) uncertain parameters Z3 (with a user-provided sample) (4) uncertain parameters Z4

     • continuous parameters (PSUADE to generate sample), or

     • a large sample (created by PSUADE from RS) Thus, the first M1+M2 parameters are considered to be optimization parameters, and M3+M4 are uncertain parameters so that M = M1 + M2 + M3 + M4.

       To reuse simulation results (e.g. from before abrupt termination), turn on save_history and use_history optimization options in the ANALYSIS section (e.g. optimization save_history). You will see a text file called 'psuade_ouu_history' afterward.

       ---

       IF YOU ARE READY TO MOVE ON, ENTER 'y' AND RETURN : ====================================================================== OUUOptimzer detects inequality-constrained optimization is requested (nOutputs > 1). If this is not the case, exit and re-define your simulator to have 1 output. Otherwise, OUUOptimizer thinks there are 3 constraints. M1 = number of design (level 1 optim.) parameters Enter M1 (between 1 and 17) : M3 = number of discrete (scenario) parameters Enter M3 (between 0 and 13) : ---------------------------------------------------------------------- Number of first stage optimization parameters = 4 Number of second stage optimization parameters = 0 Number of discrete uncertain parameters = 0 Number of continuous uncertain parameters = 13

       In the following, please select type for each variable:

  5. design variable (level 1 optimization parameter)
  6. operating variable (level 2 optimization parameter)
  7. discrete uncertain variable (a sample will be given)

  8. continuous uncertain variable NOTE: make sure your specification matches with above. Type for variable 1 ? ERROR: input not within range. Type for variable 1 ? Type for variable 2 ? Type for variable 3 ? Type for variable 4 ? Type for variable 5 ? Type for variable 6 ? Type for variable 7 ? Type for variable 8 ? Type for variable 9 ? Type for variable 10 ? Type for variable 11 ? Type for variable 12 ? Type for variable 13 ? Type for variable 14 ? Type for variable 15 ? Type for variable 16 ? Type for variable 17 ? ====================================================================== Input 1 is a design parameter. Input 2 is a design parameter. Input 3 is a design parameter. Input 4 is a design parameter. Input 5 is a continuous uncertain parameter. Input 6 is a continuous uncertain parameter. Input 7 is a continuous uncertain parameter. Input 8 is a continuous uncertain parameter. Input 9 is a continuous uncertain parameter. Input 10 is a continuous uncertain parameter. Input 11 is a continuous uncertain parameter. Input 12 is a continuous uncertain parameter. Input 13 is a continuous uncertain parameter. Input 14 is a continuous uncertain parameter. Input 15 is a continuous uncertain parameter. Input 16 is a continuous uncertain parameter. Input 17 is a continuous uncertain parameter. PDF type for Input 5 = Uniform PDF type for Input 6 = Uniform PDF type for Input 7 = Uniform PDF type for Input 8 = Uniform PDF type for Input 9 = Uniform PDF type for Input 10 = Uniform PDF type for Input 11 = Uniform PDF type for Input 12 = Uniform PDF type for Input 13 = Uniform PDF type for Input 14 = Uniform PDF type for Input 15 = Uniform PDF type for Input 16 = Uniform PDF type for Input 17 = Uniform

     OUUOptimizer: setting optimization simulation driver.

     ---

     OUUOptimizer: max fevals = 1000000 OUUOptimizer: tolerance = 1.000000e-006

     ====================================================================== Select which functional Phi_{Z3,Z4} to use:

  9. mean of G(Z1,...) with respect to Z3,Z4 (default)
  10. mean of G(Z1,...) + beta * std dev of G(Z1,...)
  11. G(Z1,Z2,Z3,Z4) such that Prob(G(Z1,...)>G(Z1,Z2,Z3,Z4)) = 1 - alpha This is also called value-at-risk with confidence level alpha. Enter your choice of functional (1, 2 or 3) : Please select below the scheme to compute the returned constraints from the ensemble constraints. The returned constraints are computed from:
  12. the means of constraints from all sample runs
  13. the simulation with largest 2-norm violations
  14. the simulation with largest 1-norm violations
  15. the simulation with largest infinity-norm violations NOTE: constraints are such that they should be >= 0. Enter your choice (1 - 4) : OUUOptimizer: generating a sample for Z4. Two options: (1) Users can upload a sample to PSUADE (2) PSUADE can internally create a sample Select option 1 or 2 : ERROR: input is not an integer. Select option 1 or 2 : ====================================================================== A Z4 sample is needed from you. The file format should be: line 1: line 2: <sample 1 input 1> <input 2> line 3: <sample 2 input 1> <input 2> ... Enter user sample file name : OUUOptimizer ERROR: user sample file 20 not found.

[sotorrio1]

@fsoepyan Could you send me the file you used?

[sotorrio1]

@fsoepyan I assume you're using the large PosteriorSample file for "Load existing sample for Z4" and then selecting "Use Response Surface" because the sample size is so big.

Using Response Surface seems to give some problems when using constraints. If you don't select Response Surface, OUU runs without crashing (it will take forever with that sample size though).

[ou3llnl]

It looks like we have an error in the script that runs psuade. I noticed this:

Type for variable 1 ? ERROR: input not within range.
Type for variable 1 ? Type for variable 2 ? 

and this: Select option 1 or 2 : ERROR: input is not an integer. The PSUADE prompt to ask for M2 is missing but our FOQUS code is expecting it, which is probably what's screwing this up. Will ask Charles about this.

[fsoepyan]

Answering Pedro's (@sotorrio1) question, I actually used the "Generate new sample for Z4" option under "UQ Setup".

For the "Sample Scheme", I selected "Latin Hypercube" with 20 samples.

[ngbrenda]

Please follow the instructions in INSTALL.md and download psuade 1.7.10. Try again and let us know if the problem persists.

[fsoepyan]

Here is what I did:

• I went to INSTALL.md
• I clicked the blue "psuade github" link
• I clicked the green "Clone or download" button
• I clicked "Download ZIP"
• I saved the psuade folder in a folder located on my desktop
• I opened FOQUS
• I went to "Settings"
• For "PSUADE EXE", I currently have: C:\Program Files (x86)\psuade_project 1.7.6\bin\psuade.exe

To use the newest version of psuade (version 1.7.10), what should I change the "PSUADE EXE" to?

[sotorrio1]

I would go to the following link:

https://github.com/LLNL/psuade/releases

and download the "psuade_project-1.7.10-win32.exe" file. Then install psuade and for the new PSUADE EXE you would have 'C:\Program Files (x86)\psuade_project 1.7.10\bin\psuade.exe

[fsoepyan]

Here is what I did:

• I downloaded and installed "psuade_project-1.7.10-win32.exe"
• For "PSUADE EXE" under "Settings", I put in: C:\Program Files (x86)\psuade_project 1.7.10\bin\psuade.exe
• I tried running OUU with 3 "Inequality Constraint"
• I still got the same error message

[fsoepyan]

• I tried running OUU with an inequality constraint using PSUADE 1.7.12
• I still got the same error message from my first comment
• The "Stop" button did not return to the "Run OUU" button
• Therefore, I'm reopening Issue #101

[sotorrio1]

Two separate issues here. It's true the new psuade version should be able to handle constraints and it's not. We'll double check with Charles if there is anything wrong with the driver and the commands sent to psuade. The stop button works, but when there is another error the communication with psuade stops and it's not getting any other messages/instructions. That's why it seems the stop button doesn't work

[ksbeattie]

@sotorrio1 will follow up with Charles Tong on this.

[sotorrio1]

Should be fixed with PR #270 @fsoepyan would you mind checking if it now works for you? Thanks!

[fsoepyan]

• I downloaded FOQUS from "sotorrio1-patch-1" (PR #270)
• I tested the OUU tab using an example problem, where I have 3 constraints
• For each constraint, the variables C01 to C03 must be negative
• After clicking "Run OUU", I still get the same error message that I got in my original comment

[sotorrio1]

@fsoepyan Are you running the example you sent me a while ago "MEA_Column_02_23_2018.foqus" ? The one with 17 inputs (X1-X4 are Z1 and the rest Z4), surrogate.negCO2 as the objective and C01, C02 and C03 as inequality constraints. I tried running that one and the issue I'm getting is that even if I tell OUU to generate the samples for Z4, it crashes because I didn't provide a sample file...

Do you get the same issue? Please send me the psuadelog.

Thanks!

[fsoepyan]

@sotorrio1: Yes, I did run the OUU tab using the file that you mentioned, with the 17 variables, the negCO2 objective, and the 3 inequality constraints.

Below is the psuadelog:

---

• Welcome to PSUADE (version 1.7.12)

  ---

  PSUADE - A Problem Solving environment for Uncertainty Analysis and Design Exploration (1.7.12) (for help, enter )

  psuade> ** PSUADE : Search for local minima in sample space. number of samples = 1 optimization starting point 1 : 3.84400000e+003 -7.74900000e+003 3.92000000e+000 1.75000000e+000 -1.34200000e+003 1.39000000e+000 0.00000000e+000 1.22000000e+001 5.58000000e-001 1.12400000e+003 1.60000000e-001 2.94000000e-001 -1.90490000e+008 -4.91270000e+008 -3.24303000e+008 -6.96303000e+008 2.89000000e+001 Y = 1.00000000e+035

  ---

  ---

  PSUADE OPTIMIZATION 1 (1) : starting X( 1) = 3.84400000e+003 starting X( 2) = -7.74900000e+003 starting X( 3) = 3.92000000e+000 starting X( 4) = 1.75000000e+000 starting X( 5) = -1.34200000e+003 starting X( 6) = 1.39000000e+000 starting X( 7) = 0.00000000e+000 starting X( 8) = 1.22000000e+001 starting X( 9) = 5.58000000e-001 starting X( 10) = 1.12400000e+003 starting X( 11) = 1.60000000e-001 starting X( 12) = 2.94000000e-001 starting X( 13) = -1.90490000e+008 starting X( 14) = -4.91270000e+008 starting X( 15) = -3.24303000e+008 starting X( 16) = -6.96303000e+008 starting X( 17) = 2.89000000e+001 starting Y = 1.00000000e+035

  ---

  ---

• 1- OR 2-STAGE OPTIMIZATION UNDER UNCERTAINTY (OUU)

  This optimization capability solves the following problem:

  minimizeZ1 { Phi{Z3,Z4} [ G(Z1,Z2,Z3,Z4) ] }

  subject to either: (a) bound constraints on Z1, Z2, and Z4 (use bobyqa); or (b) no constraint on Z1, Z2, and Z4 (use newuoa); or (c) inequality constraints on Z1,Z2,Z3,Z4 (use cobyla) as the level-1 optimizer.)

  Z3 is a set of discrete parameters for which a sample

  is to be provided by the user.

  (0) How to perform regular optimization? In this case

  • Z1 will be the optimization variables
  • Z2 should be an empty set
  • Z3 should be an empty set
  • Z4 should be an empty set
  • G(Z1,Z3,Z4)=G(Z1) is the simulator (opt_driver) (1) How to perform 1-level OUU? In this case
  • Z1: the optimization variables
  • Z2: should be an empty set
  • Z3: parameters that you will provide a sample.
  • Z4: parameters that you do not provide a sample. (optionally, you can choose sampling scheme and whether you want response surface for Z4).
  • G(Z1,Z3,Z4) is the simulator (opt_driver)

  (2) How to perform 2-level OUU? In this case

  • Z1: the optimization variables
  • Z2: the set of level-2 optimization parameters. If Z2 do not need to be published outside of the G function, then it can be specified as an empty set.
  • Z3: parameters that you will provide a sample for.
  • Z4: parameters that you do not provide a sample.

  • There are 2 options to how to set up G(Z1,Z2,Z3,Z4): (a) A user-provided level 2 optimizer that does

      G(Z1,Z2,Z3,Z4) = minimize_Z2{F(Z1,Z2,Z3,Z4)}
    
     where F(Z1,Z2,Z3,Z4) is embedded in G(Z1,...)
    
     In this case, the user will provide G(Z1,...)
     via opt_driver (i.e. opt_driver = gfunction)

    (b) A user-provided function F(Z1,...) such that

      G(Z1,Z2,Z3,Z4) = minimize_Z2 {F(Z1,Z2,Z3,Z4)}
    
     In this case, user is expected to provide the
     F(Z1,...) function via 'opt_driver = ffunction'
     and OUU provides the optimizer (BOBYQA).

  In case 1 and 2, Phi{Z3,Z4} is a functional on G(Z1,...) with respect to Z3 and Z4, e.g. Phi{Z3,Z4} may be:

  1. mean of G(Z1,Z2,Z3,Z4) with respect to Z3,Z4 (default)
  2. mean of G(Z1,Z2,Z3,Z4) + alpha * std dev of G(Z1,...)
  3. G(Z1,Z2,Z3,Z4) such that Prob(G(Z1,Z2,Z3,Z4)>G(Z1,Z2,Z3,Z4)) = epsilon

  4. min_{Z3,Z4} G(Z1,Z2,Z3,Z4) given Z1,Z2 (robust opt.)

     In the above formulation, the total no. of parameters M = 17 These parameters are to be divided into four groups: (1) Stage 1 optimization parameters Z1 (M1 >= 1) (2) Stage 2 optimization (recourse) parameters Z2 (3) uncertain parameters Z3 (with a user-provided sample) (4) uncertain parameters Z4

     • continuous parameters (PSUADE to generate sample), or

     • a large sample (created by PSUADE from RS) Thus, the first M1+M2 parameters are considered to be optimization parameters, and M3+M4 are uncertain parameters so that M = M1 + M2 + M3 + M4.

       To reuse simulation results (e.g. from before abrupt termination), turn on save_history and use_history optimization options in the ANALYSIS section (e.g. optimization save_history). You will see a text file called 'psuade_ouu_history' afterward.

       ---

       IF YOU ARE READY TO MOVE ON, ENTER 'y' AND RETURN : ====================================================================== *** OUUOptimizer detects nOutputs > 1. This will be interpreted to mean using cobyla to

• solve inequality-constraint problems (G(x) < 0). M1 = number of design (level 1 optim.) parameters Enter M1 (between 1 and 17) : M2 = no. of recourse (level 2 optim.) parameters Enter M2 (between 0 and 13) : M3 = number of discrete (scenario) parameters Enter M3 (between 0 and 13) : In the following, please select type for each variable:
  1. design variable (level 1 optimization parameter)
  2. operating variable (level 2 optimization parameter)
  3. discrete uncertain variable (a sample will be given)

  4. continuous uncertain variable NOTE: make sure your specification matches with above. Type for variable 1 ? Type for variable 2 ? Type for variable 3 ? Type for variable 4 ? Type for variable 5 ? Type for variable 6 ? Type for variable 7 ? Type for variable 8 ? Type for variable 9 ? Type for variable 10 ? Type for variable 11 ? Type for variable 12 ? Type for variable 13 ? Type for variable 14 ? Type for variable 15 ? Type for variable 16 ? Type for variable 17 ? ====================================================================== Input 1 is a design parameter. Input 2 is a continuous uncertain parameter. Input 3 is a continuous uncertain parameter. Input 4 is a continuous uncertain parameter. Input 5 is a continuous uncertain parameter. Input 6 is a continuous uncertain parameter. Input 7 is a continuous uncertain parameter. Input 8 is a continuous uncertain parameter. Input 9 is a continuous uncertain parameter. Input 10 is a design parameter. Input 11 is a design parameter. Input 12 is a design parameter. Input 13 is a continuous uncertain parameter. Input 14 is a continuous uncertain parameter. Input 15 is a continuous uncertain parameter. Input 16 is a continuous uncertain parameter. Input 17 is a continuous uncertain parameter. PDF type for Input 2 = Uniform PDF type for Input 3 = Uniform PDF type for Input 4 = Uniform PDF type for Input 5 = Uniform PDF type for Input 6 = Uniform PDF type for Input 7 = Uniform PDF type for Input 8 = Uniform PDF type for Input 9 = Uniform PDF type for Input 13 = Uniform PDF type for Input 14 = Uniform PDF type for Input 15 = Uniform PDF type for Input 16 = Uniform PDF type for Input 17 = Uniform

     OUUOptimizer: setting optimization simulation driver. driver = C:\Users\fsoepyan\DOCUME~1\FOQUS_~1\FOQUSP~1.PY

     Select which functional Phi_{Z3,Z4} to use:

  5. mean of G(Z1,...) with respect to Z3,Z4 (default)
  6. mean of G(Z1,...) + beta * std dev of G(Z1,...)
  7. G(Z1,Z2,Z3,Z4) such that Prob(G(Z1,...)>G(Z1,Z2,Z3,Z4)) = 1 - alpha This is also called value-at-risk with confidence level alpha. Enter your choice of functional (1, 2 or 3) : Please select below the scheme to compute the returned constraints from the ensemble constraints. The returned constraints are computed from:
  8. the means of constraints from all sample runs
  9. the simulation with largest 2-norm violations
  10. the simulation with largest 1-norm violations
  11. the simulation with largest infinity-norm violation NOTE: constraints are such that they should be >= 0. Enter your choice (1 - 4) : OUUOptimizer: generating a sample for Z4. Two options: (1) Users uploads a sample to PSUADE (2) PSUADE can internally create a sample Select option 1 or 2 : ERROR: input is not an integer. Select option 1 or 2 : ====================================================================== A Z4 sample is needed from you. The file format should be: line 1: line 2: <sample 1 input 1> <input 2> line 3: <sample 2 input 1> <input 2> ... Enter user sample file name : OUUOptimizer ERROR: user sample file 25 not found.

[sotorrio1]

@fsoepyan yeah, that's what I got. So basically I fixed the OUU handling constraints issue but now the psuade flow changed and we need to rewrite the script with the psuade commands. I'll keep you posted :)

[fsoepyan]

Thank you!

[fsoepyan]

• I downloaded FOQUS from PR #270
• I tested FOQUS using the example file with the 17 variables, the negCO2 objective, and the 3 inequality constraints
• I still got the same error that I got in my first comment
• The results do not appear in the OUU graph and OUU table

[sotorrio1]

@fsoepyan could you show me the psuadelog file? Thanks!

[fsoepyan]

Below is the psuade log file. Thank you!

---

• Welcome to PSUADE (version 1.7.12)

  ---

  PSUADE - A Problem Solving environment for Uncertainty Analysis and Design Exploration (1.7.12) (for help, enter )

  psuade> readOutput ERROR: nOutputs mismatch. check nOutputs in OUTPUT & PSUADEIO sections. PsuadeBase ERROR: cannot read file C:\Users\fsoepyan\DOCUME~1\FOQUS~1\OUU_FI~1\OUUTEM~1.OUU or wrong format. ERROR: run file not valid : check file format. psuade> command y not recognized psuade> command 4 not recognized psuade> command 0 not recognized psuade> command 0 not recognized psuade> command 1 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 1 not recognized psuade> command 1 not recognized psuade> command 1 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 4 not recognized psuade> command 1 not recognized psuade> command 2 not recognized psuade> command n not recognized psuade> command 1 not recognized psuade> command 20 not recognized psuade> command y not recognized psuade> command n not recognized psuade> psuade terminates ...

[sotorrio1]

@fsoepyan could you clone my fork and try again? Thanks!

[fsoepyan]

Sorry, I ran FOQUS using the wrong version.

The psuade log file from the FOQUS version from PR #270 is in the attached Word file. Thank you!

PSUADE_log_09_06_2018.docx

[sotorrio1]

Do you get any error message?

[fsoepyan]

Yes, and it says:

OUU: Optimization error. Please consult the FOQUS UQ developers for assistance.

[sotorrio1]

That's odd... I just ran the problem getting the results below:

[fsoepyan]

• PR #279 has been merged.
• I will close this issue.