### Question:
SquaredLinearLossTerm extends SquaredHyperplaneTerm { @Override public void minimize(float stepSize, float[] consensusValues) { minWeightedSquaredHyperplane(stepSize, consensusValues); } SquaredLinearLossTerm(GroundRule groundRule, Hyperplane<LocalVariable> hyperplane); @Override void minimize(float stepSize, float[] consensusValues); @Override float evaluate(); @Override float evaluate(float[] consensusValues);  }### Answer:
@Test public void testMinimize() { float[] z = {0.4f, 0.5f, 0.1f}; float[] y = {0.0f, 0.0f, -0.05f}; float[] coeffs = {0.3f, -1.0f, 0.4f}; float constant = -20.0f; float weight = 0.5f; float stepSize = 2.0f; float[] expected = {-1.41569f, 6.55231f, -2.29593f}; testProblem(z, y, coeffs, constant, weight, stepSize, expected); }