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- Opt.g = ["gFreqBallistic"] and Opt.g = "gFreqBallistic"
- variable function for primal and sens
- different way to define design variables with x vector
- add initial step to calc nx, ng and source of algorithm!
- make all values numpy arrays
- return arrays!!! not lists, for gradients important!
- remove parameter pyOptAlg = True
- add option, fType min max
- normalize and denormalize as vector operations? not index assignment?
- nit for nongrad alg
- ResultReport
- sensitivity analysis
- Postprocessing for shadow prices
- echo or debug level? what is standard?
- Variable linking?
- Normalization for each design variables or global (currently for each)???
- Normalization for each contraint or global (currently for each)???
- different normalizations for design variables
- default normlaization for xnorm
- default normlaization for fnorm
- default normlaization for gnorm
- equality constraints?
- add range constraints?
- default gtype: upper bound
- rconval -> rConVal
- sensivity analysis for gVector
- mix form of constraints for scalara and vectors, e.g. stressVec and dispScalar
- add all normalization techniques from DesOptPy1
- gMax and gMaxIt...
- stop criteria
- rename interface wrappers
- save iteration values as hdf5?
- force f, g, fNabla, gNabla to be list of strings
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