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I am trying to implement (in code) a QP solver for the following equation:

$$\min_{u} u^{T} Wu$$

$$s.t. \; \beta u = \tau_{ref}$$ $$ Au \leq b $$

See this document, section 5.1 (Page 35)

$u$ is a 2n vector of 2-dimensional vectors, $W$ is a 2nx2n matrix of weights, $\beta$ is a nx3 matrix and $\tau_{ref}$ is a 1x3 vector. The goal here is to find the lowest $u$ that satisfies the conditions (you can ignore the $Au \leq b$ constraint for now).

I'm not a math-scholar by any means, but I'm having problems formulating this into something I can feed a QP solver like Accord.NET.

If you don't want to read the document, $u$ is a vector of thrust values delivered by "n" actuators attached to a ship. Since those actuators only operate in 2 dimensions, they are 2-dimensional vectors. This method attempts to find a solution for a total required thrust distributed to the available "n" thrusters.

So my questions are:

  • Is the Accord.NET implementation of GoldfarbIdnani the appropriate QP solver to use for this problem? Matlab is not an option and I'd prefer to sticking to open-source/free libraries (C# is preferred, but can do C/C++ bindings if necessary).

  • How would I formulate the lambda expression to feed into the QP solver given that most QP solvers that I've found require a formula in the $2x^2 + xy + y^2 - 5y$ type format where x/y are not vectors/matricies?

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  • $\begingroup$ You can write the equality constraints as inequality constraints, at which point osqp.org could be used via C/C++ in exactly this form. $\endgroup$ – cdipaolo Oct 19 at 15:47

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