@Override public WeightApproximator reverse() { return new LMApproximator(graph, maxBaseNodes, lms, activeLandmarks.length, factor, !reverse); }
astar.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon)); return algo; astarbi.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon)); return algo; altRoute.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon));
@Override public WeightApproximator reverse() { return new LMApproximator(graph, maxBaseNodes, lms, activeLandmarks.length, factor, !reverse); }
@Override public WeightApproximator reverse() { return new LMApproximator(graph, maxBaseNodes, lms, activeLandmarks.length, factor, !reverse); }
astar.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon)); return algo; astarbi.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon)); return algo; altRoute.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon));
astar.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon)); return algo; astarbi.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon)); return algo; altRoute.setApproximation(new LMApproximator(qGraph, this.graph.getNodes(), lms, activeLM, lms.getFactor(), false). setEpsilon(epsilon));