I study papers on link prediction in knowledge networks. Authors usually report "Hits@k". I wonder how to calculate hits@k and what does it mean about the model and the results?

I have some troubles regarding a linear program I alreday solved and use excel but now i want to do it in r/python beacuse I already reach excels and the solvers limits. Therefore I am asking for h...

I am currently evaluating googles or-tools and just noticed that it's not really a solver on its own but mainly an interface to other solvers. What I'd like to know is which solvers this framework ...

I'm trying to solve a pretty basic optimization problem using SciPy. The problem is constrained and with variable bounds and I'm pretty sure it's linear. When I run the following code the executi...

This is a part of the engine-log output that I get from a small-scale mixed integer linear optimization problem that I solved in CPLEX 12.7.0 Nodes Cuts/ Node Left Objective IInf Best Integer Be...

I was wondering when one would decide to resort to Reinforcement Learning to problems that have been previously tackled by mathematical optimisation methods - think the Traveling Salesman Problem o...

I need an algorithm that would take n rectangles of any sizes, and calculate a rectangle big enough to fit them all, minimizing its area so the wasted area is minimum, and also returning the positi...

Node Assignment Problem The problem I want to solve is to tessellate the map given with the Blue Nodes(Source Nodes) as given input points, Once I am able to do this I would like to see how many...

I am trying to generate an inverse Weibull distribution using parameters estimated from survreg in R. By this I mean I would like to, for a given probability (which will be a random number in a sma...

Is there an open source alternative to Mosek? Basically, I'm looking for large scale convex optimization solver packages. Thanks! EDIT: Forgot to mention earlier, problem is non-linear; m...