The projects in MatProGo-dev aim to replace this. The modeling interface has been put into MatProInterface.go and the gurobi interface has been moved into Gurobi.go.
This project is meant to implement an optimization toolbox with nice default features like MATLAB's YALMIP. It is a spiritual successor to the goop library from MIT's Distributed Robotics Lab. This version is meant to be written in pure Go and makes use of my own low-level library for interfacing with Gurobi.
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| Goop2 Can Solve Simple LPs |
Warning: The setup script is designed to only work on Mac OS X. If you are interested in using this on a Windows machine, then there are no guarantees that it will work.
When you have cloned this repository and want to begin testing it, then you simply need to run the following command: sudo go generate. A log file will be created in extras describing how the installation went. If it fails, feel free to reach out to kwesiRutledge.
We aim to include examples for how to use Goop2 in a Wiki page here.
Some extra examples can also be found in the test files.
Check out the files in testing/solvers for such examples (for example, lp_solve_test.go contains an example of a Linear Program).
- Create New AddConstr methods which work for vector constraints
- Mult
- General Function (in operators.go)
- Methods for
- Scalars
- Constant
- Var
- ScalarLinearExpression
- QuadraticExpression
- Vectors
- Vector Constant
- VarVector
- VectorLinearExpression
- Scalars
- Plus
- General Function (in operators.go)
- Introducing Optional Input for Variable Name to Var/VarVector
- Consider renaming VarVector to VectorVar
- VarVector
- Plus
- Multiply
- LessEq
- GreaterEq
- Eq
- Len
- Decide whether or not we really need the Coeffs() method (What is it doing?)
- Create function for easily creating MatDense:
- ones matrices
- Create function for:
- IsScalar()
- IsVector()
- VectorConstraint
- AtVec()