package gdsc.smlm.fitting.nonlinear.gradient; import gdsc.smlm.function.Gradient1Function; /*----------------------------------------------------------------------------- * GDSC SMLM Software * * Copyright (C) 2017 Alex Herbert * Genome Damage and Stability Centre * University of Sussex, UK * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 3 of the License, or * (at your option) any later version. *---------------------------------------------------------------------------*/ /** * Create a gradient procedure. */ public class LSQLVMGradientProcedureFactory extends BaseLSQLVMGradientProcedureFactory { /** * Create a new gradient calculator * * @param y * Data to fit * @param b * Baseline pre-computed y-values * @param func * Gradient function * @return the gradient procedure */ public static LSQLVMGradientProcedure create(final double[] y, final double[] b, final Gradient1Function func) { switch (func.getNumberOfGradients()) { case 5: return new LSQLVMGradientProcedure5(y, b, func); case 4: return new LSQLVMGradientProcedure4(y, b, func); case 6: return new LSQLVMGradientProcedure6(y, b, func); default: return new LSQLVMGradientProcedure(y, b, func); } } // Instance method for testing BaseLSQLVMGradientProcedure createProcedure(final double[] y, final double[] b, final Gradient1Function func) { return create(y, b, func); } }