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throw new DimensionMismatchException(t.length, w.length); } return optimizeInternal(maxEval, f, new Target(t), new Weight(w), new InitialGuess(startPoint)); }
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final double[] target, final double[] weights, final double[] startPoint) { return optimizeInternal(maxEval, FunctionUtils.toMultivariateDifferentiableVectorFunction(f), new Target(target), new Weight(weights), new InitialGuess(startPoint)); }
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final MultivariateDifferentiableVectorFunction f, final double[] target, final double[] weights, final double[] startPoint) { return optimizeInternal(maxEval, f, new Target(target), new Weight(weights), new InitialGuess(startPoint)); }
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* {@link #DEFAULT_INVERSE_ABSOLUTE_ACCURACY}). * @throws NotStrictlyPositiveException if {@code mean <= 0}. * @since 2.1 */ public ExponentialDistribution(double mean, double inverseCumAccuracy) { this(new Well19937c(), mean, inverseCumAccuracy); }