com.igormaznitsa.meta.Complexity Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of jcp Show documentation
Powerful multi-pass preprocessor to process directives situated in C-styled commentaries
There is a newer version: 7.1.2
/*
 * Copyright 2016 Igor Maznitsa.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package com.igormaznitsa.meta;

import javax.annotation.Nonnull;

/**
 * Complexity constants. List was taken from the wiki page.
 *
 * @since 1.1.2
 */
public enum Complexity {

  /**
   * Constant value. Example: Determining if an integer (represented in binary) is even or odd.
   * 
   * O(1)
   *
   * @since 1.1.2
   */
  CONSTANT("O(1)"),
  /**
   * Inverse Ackermann. Example: Amortized time per operation using a disjoint set.
   * 
   * O(α(n))
   *
   * @since 1.1.2
   */
  INVERSE_ACKERMANN("O(a(n))"),
  /**
   * Iterated logarithmic. Example:
   * Distributed coloring of cycles.
   * 
   * O(log* n)
   *
   * @since 1.1.2
   */
  ITERATED_LOGARITHMIC("O(log* n)"),
  /**
   * Log-logarithmic. Example: Amortized time per operation using a bounded priority queue.
   * 
   * O(log log n)
   *
   * @since 1.1.2
   */
  LOG_LOGARITHMIC("O(log log n)"),
  /**
   * Logarithmic. Example: Binary search.
   * 
   * O(log n)
   *
   * @since 1.1.2
   */
  LOGARITHMIC("O(log n)"),
  /**
   * Polylogarithmic.
   * 
   * poly(log n)
   *
   * @since 1.1.2
   */
  POLYLOGARITHMIC("poly(log n)"),
  /**
   * Fractional power. Example: Searching in a kd-tree.
   * 
   * O(n^c) where 0 < c < 1 
   *
   * @since 1.1.2
   */
  FRACTIONAL_POWER("O(n^c)"),
  /**
   * Linear. Example: Finding the smallest or largest item in an unsorted array.
   * 
   * O(n)
   *
   * @since 1.1.2
   */
  LINEAR("O(n)"),
  /**
   * n log star n. Example: Seidel's polygon triangulation algorithm.
   * 
   * O(n log* n)
   *
   * @since 1.1.2
   */
  N_LOG_STAR_N("O(n log* n)"),
  /**
   * Lineqarithmic. Example: Fastest possible comparison sort.
   * 
   * O(n log n)
   *
   * @since 1.1.2
   */
  LINEARITHMIC("O(n log n)"),
  /**
   * Quadratic. Example: Bubble sort; Insertion sort; Direct convolution.
   * 
   * O(n²)
   *
   * @since 1.1.2
   */
  QUADRATIC("O(n^2)"),
  /**
   * Cubic. Example: Naive multiplication of two n×n matrices. Calculating partial correlation.
   * 
   * O(n³)
   *
   * @since 1.1.2
   */
  CUBIC("O(n^3)"),
  /**
   * Polynomial. Example: Karmarkar's
   * algorithm for linear programming; AKS primality test.
   * 
   * 2^{O(log n)} = poly(n)
   *
   * @since 1.1.2
   */
  POLYNOMIAL("poly(n)"),
  /**
   * Quasi-polinomial. Example: Best-known O(log2 n)-approximation algorithm for the directed
   * Steiner tree problem.
   * 
   * 2^{poly(log n)}
   *
   * @since 1.1.2
   */
  QUASI_POLYNOMIAL("2^poly(log n)"),
  /**
   * Sub-exponential. Example: Assuming complexity theoretic conjectures, BPP is contained in
   * SUBEXP.
   * 
   * O(2^{n^ε}) for all ε > 0
   *
   * @since 1.1.2
   */
  SUB_EXPONENTIAL("O(2^n^e)"),
  /**
   * Exponential. Example: Solving matrix chain multiplication via brute-force search.
   * 
   * 2^O(n)
   *
   * @since 1.1.2
   */
  EXPONENTIAL("2^O(n)"),
  /**
   * Factorial. Example: Solving the traveling salesman problem via brute-force search.
   * 
   * O(n!)
   *
   * @since 1.1.2
   */
  FACTORIAL("O(n!)"),
  /**
   * Double exponential. Example: Deciding the truth of a given statement in Presburger
   * arithmetic.
   * 
   * 2^{2^poly(n)}
   *
   * @since 1.1.2
   */
  DOUBLE_EXPONENTIAL("2^2^poly(n)");

  private final String formula;

  private Complexity(@Nonnull final String formula) {
    this.formula = formula;
  }

  /**
   * Get the formula.
   *
   * @return formula as string
   * @since 1.1.2
   */
  @Nonnull
  public String getFormula() {
    return this.formula;
  }

  @Override
  @Nonnull
  public String toString() {
    return this.formula;
  }
}