Callback function called every n iterations Int: number of iterations (n) after which the callback is called Solution: new solution after n iterations Solver: solver used for this problem
Callback function called every n iterations Int: number of iterations (n) after which the callback is called Solution: new solution after n iterations Solver: solver used for this problem
Callback function called when starting the solving process Solver: solver used for this problem
Callback function called when starting the solving process Solver: solver used for this problem
Callback function called at the end of the solving process Solution: final solution of the problem Solver: solver used for this problem
Callback function called at the end of the solving process Solution: final solution of the problem Solver: solver used for this problem
Cleans up the solving process
Cleans up the solving process
Initializes the solving process
Initializes the solving process
Solves the problem within iterCount iterations
Solves the problem within iterCount iterations
number of maximum iterations
Tuple (number of iterations to solve the problem, solution found)
Returns the score of the solution
Returns a boolean to know if the problem is being solved
Returns a boolean to know if the problem is being solved
True if the problem is being solved, false otherwise
Sets the newSolutionFoundCallback function
Sets the newSolutionFoundCallback function
maximum number of iterations before calling the callback
newSolutionFoundCallback function
Sets the linear optimization problem to be solved
Sets the linear optimization problem to be solved
linear optimization problem to be solved
Sets the solvingStartedCallback function
Sets the solvingStartedCallback function
solvingStartedCallback function
Sets the solvingStoppedCallback function
Sets the solvingStoppedCallback function
solvingStoppedCallback function
Solves the problem
Solves the problem
Stops solving the problem
Stops solving the problem
Abstract class extending Solver specific to solve linear optimization problems