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When adding optimization variables with non-linear normalization transforms, linear constraints become nonlinear since the optimizer only "sees" the transformed variables.
E.g.
```
optimization_p…
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All PRs and attempts to add general nonlinear model (not with link, single index) have stalled so far.
(I was looking again at outlier robust estimation of nonlinear mean functions `y = f(x, theta) +…
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The current implementation calls a different optimization routine depending on internal classification schemes
```julia
if model.has_nlp_constraints
@checked Lib.XPRSnlpoptimize(model.…
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https://github.com/JuliaSmoothOptimizers/CUTEst.jl is a set of nonlinear optimization problems. We should use those to setup benchmarks between the optimizers, splitting between constrained and uncons…
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There is an incorrect reference in Nonlinear constrained optimization to the ipnewton_basics.ipynb. Now you get the error 404 not found, see [linked page](https://nbviewer.org/github/JuliaNLSolvers/Op…
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We consider to combine GlobalInverseKinematics (which solves a mixed-integer program) with nonlinear IK in two ways
1. We can solve the nonlinear IK to find an initial guess of q, and then compute th…
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# High level description
Least squares batch filters and classical Kalman filters are both methods for estimating the state of a dynamic system from noisy measurements. They both use a mathematical…
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The following test classes took extremely long time to run:
- math3.dfp.BracketingNthOrderBrentSolverDFPTest
- math3.dfp.DfpTest
- math3.geometry.euclidean.threed.FieldRotationDfpTest
- math3.optim.no…
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- Image Processing
- Machine Learning/ Deep Learning
- Discrete Optimization (Integer Programming)
- Linear/ Nonlinear Optimization
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There are some systems of interest that that are expressible only with additional equality constraints.
For instance, a unicycle model may be written in terms of the state vector `(x, y, theta)` (w…