search for: milp

...mum percentage of observations per bin (good, bad, and total) - minimum and/or maximum bin width - minimum and/or maximum number of bins - minimum aggregate WOE difference between bins - monotonicity of aggregate bin WOE values (increasing, decreasing, or a combination) - etc... The idea is to use MILP (Mixed integer linear programming) and to solve problem..... Any ideas how to implement this would be welcomed... even better... if someone is aware of any package which allready has this functionaly... please us me know Thanks for help. -- This e-mail and any files transmitted with it are...

Hi my R buddies, I'm trying to solve a specific group of convex optimization in R. The admissible region is the inside and surface of a multi-dimensional eclipse area and the goal function is the sum of absolution values of the variables. Could any one please tell me whether there's a package in R to do this? Thank you very much, Best wishes, -- ??? Hesen Peng

...r for solving large scale linear and quadratic programs. Furthermore, it offers a mixed integer optimizer to solve difficult mixed integer programs. Note that CPLEX is not free and you have to get a license from IBM . Academics will receive a free licence upon request. [LP, IP, BP, QP, MILP, MIQP, IPM]        --------------------------------------------------------------------------------------------------     I am not sure the above statement is relevant or not. In case there is a necessary to get the license, since I work in a university and I think I could figure out how to get it...

...atter is a more or less outdated supercomputer today). The system was built in strict ANSI C and it can be connected to computational algorithms through an accelerator function. We can solve problems using pure classical optimization tools on the one extreme (global, constrained (linear,nonlinear, milp,minlp etc)) and pure genetic search on the other. We can also use hybrid approaches where various classical/artificial intelligence approaches are combined. GHA may be used as a subsystem to other programs or as the main system using other systems as subsystems (libraries). As I am not an expert i...

...atter is a more or less outdated supercomputer today). The system was built in strict ANSI C and it can be connected to computational algorithms through an accelerator function. We can solve problems using pure classical optimization tools on the one extreme (global, constrained (linear,nonlinear, milp,minlp etc)) and pure genetic search on the other. We can also use hybrid approaches where various classical/artificial intelligence approaches are combined. GHA may be used as a subsystem to other programs or as the main system using other systems as subsystems (libraries). As I am not an expert i...