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Genome Damage and Stability Centre SMLM Package Software for single molecule localisation microscopy (SMLM)

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/*-
 * #%L
 * Genome Damage and Stability Centre SMLM Package
 *
 * Software for single molecule localisation microscopy (SMLM)
 * %%
 * Copyright (C) 2011 - 2023 Alex Herbert
 * %%
 * 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.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public
 * License along with this program.  If not, see
 * .
 * #L%
 */

package uk.ac.sussex.gdsc.smlm.function;

/**
 * Base class for an algorithm computing a fast approximation to the log function.
 */
public abstract class FastLog {
  /**
   * Natural logarithm of 2.
   */
  public static final double LN2 = Math.log(2);
  /**
   * Natural logarithm of 2.
   */
  public static final float LN2F = (float) LN2;

  /** The default value for n (the number of bits to keep from the mantissa). */
  public static final int N = 13;

  /**
   * Computes the scale to convert from log2 to logB (using the given base) by multiplication.
   *
   * 
   * scale = Math.log(2) / Math.log(base)
   * 
* * @param base the base * @return the scale */ public static double computeScale(double base) { if (!(base > 0 && base != Double.POSITIVE_INFINITY)) { throw new IllegalArgumentException("Base must be a real positive number"); } return LN2 / Math.log(base); } /** * Calculate the logarithm with base 2. * *
   * return Math.log(val) / Math.log(2)
   * 
* * @param val the input value * @return the log2 of the value */ public static double exactLog2(double val) { return Math.log(val) / LN2; } /** * Gets the base. * * @return the base */ public abstract double getBase(); /** * Gets the scale to convert from log2 to logB (the base given by {@link #getBase()}) by * multiplication. * * @return the scale */ public abstract double getScale(); /** * Gets the number of most significant bits to keep from the mantissa, i.e. the binary precision * of the floating point number before computing the log. * * @return the number of most significant bits to keep */ public abstract int getN(); /** * Calculate the logarithm to base 2, handling special cases. * *

Special cases:

  • If the argument is NaN or less than zero, then the result is NaN. *
  • If the argument is positive infinity, then the result is positive infinity.
  • If the * argument is positive zero or negative zero, then the result is negative infinity.
* * @param x the argument * @return log(x) */ public abstract float log2(float x); /** * Calculate the logarithm to base 2, handling special cases. * *

Special cases:

  • If the argument is NaN or less than zero, then the result is NaN. *
  • If the argument is positive infinity, then the result is positive infinity.
  • If the * argument is positive zero or negative zero, then the result is negative infinity.
* * @param x the argument * @return log(x) */ public abstract float log2(double x); /** * Calculate the logarithm to base 2. Requires the argument be finite and strictly positive. * *

Special cases:

  • If the argument is NaN, then the result is incorrect.
  • If the * argument is negative, then the result is incorrect.
  • If the argument is positive infinity, * then the result is incorrect.
  • If the argument is positive zero or negative zero, then the * result is incorrect.
* *

Sub-classes may handle some of the special cases. * * @param x the argument (must be strictly positive) * @return log(x) */ public abstract float fastLog2(float x); /** * Calculate the logarithm to base 2. Requires the argument be finite and strictly positive. * *

Special cases:

  • If the argument is NaN, then the result is incorrect.
  • If the * argument is negative, then the result is incorrect.
  • If the argument is positive infinity, * then the result is incorrect.
  • If the argument is positive zero or negative zero, then the * result is incorrect.
* *

Sub-classes may handle some of the special cases. * * @param x the argument (must be strictly positive) * @return log(x) */ public abstract float fastLog2(double x); /** * Calculate the logarithm to the configured base, handling special cases. * *

Special cases:

  • If the argument is NaN or less than zero, then the result is NaN. *
  • If the argument is positive infinity, then the result is positive infinity.
  • If the * argument is positive zero or negative zero, then the result is negative infinity.
* * @param x the argument * @return log(x) * @see #getBase() */ public abstract float log(float x); /** * Calculate the logarithm to the configured base, handling special cases. * *

Special cases:

  • If the argument is NaN or less than zero, then the result is NaN. *
  • If the argument is positive infinity, then the result is positive infinity.
  • If the * argument is positive zero or negative zero, then the result is negative infinity.
* * @param x the argument * @return log(x) * @see #getBase() */ public abstract float log(double x); /** * Calculate the logarithm to the configured base. Requires the argument be finite and strictly * positive. * *

Special cases:

  • If the argument is NaN, then the result is incorrect.
  • If the * argument is negative, then the result is incorrect.
  • If the argument is positive infinity, * then the result is incorrect.
  • If the argument is positive zero or negative zero, then the * result is incorrect.
* *

Sub-classes may handle some of the special cases. * * @param x the argument (must be strictly positive) * @return log(x) * @see #getBase() */ public abstract float fastLog(float x); /** * Calculate the logarithm to the configured base. Requires the argument be finite and strictly * positive. * *

Special cases:

  • If the argument is NaN, then the result is incorrect.
  • If the * argument is negative, then the result is incorrect.
  • If the argument is positive infinity, * then the result is incorrect.
  • If the argument is positive zero or negative zero, then the * result is incorrect.
* *

Sub-classes may handle some of the special cases. * * @param x the argument (must be strictly positive) * @return log(x) * @see #getBase() */ public abstract float fastLog(double x); /** * Calculate the logarithm to base 2, handling special cases. * *

Special cases:

  • If the argument is NaN or less than zero, then the result is NaN. *
  • If the argument is positive infinity, then the result is positive infinity.
  • If the * argument is positive zero or negative zero, then the result is negative infinity.
* *

This can be re-implemented if {@link #fastLog(double)} can be returned in double precision. * * @param x the argument * @return log(x) */ public double log2D(double x) { return log2(x); } /** * Calculate the logarithm to base 2. Requires the argument be finite and strictly positive. * *

Special cases:

  • If the argument is NaN, then the result is incorrect.
  • If the * argument is negative, then the result is incorrect.
  • If the argument is positive infinity, * then the result is incorrect.
  • If the argument is positive zero or negative zero, then the * result is incorrect.
* *

Sub-classes may handle some of the special cases. * *

This can be re-implemented if {@link #fastLog(double)} can be returned in double precision. * * @param x the argument (must be strictly positive) * @return log(x) */ public double fastLog2D(double x) { return fastLog2(x); } /** * Calculate the logarithm to the configured base, handling special cases. * *

Special cases:

  • If the argument is NaN or less than zero, then the result is NaN. *
  • If the argument is positive infinity, then the result is positive infinity.
  • If the * argument is positive zero or negative zero, then the result is negative infinity.
* *

This can be re-implemented if {@link #log(double)} can be returned in double precision. * * @param x the argument * @return log(x) * @see #getBase() */ public double logD(double x) { return log(x); } /** * Calculate the logarithm to the configured base. Requires the argument be finite and strictly * positive. * *

Special cases:

  • If the argument is NaN, then the result is incorrect.
  • If the * argument is negative, then the result is incorrect.
  • If the argument is positive infinity, * then the result is incorrect.
  • If the argument is positive zero or negative zero, then the * result is incorrect.
* *

Sub-classes may handle some of the special cases. * *

This can be re-implemented if {@link #fastLog(double)} can be returned in double precision. * * @param x the argument (must be strictly positive) * @return log(x) * @see #getBase() */ public double fastLogD(double x) { return fastLog(x); } }





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