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Java example source code file (index.xml)

This example Java source code file (index.xml) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

complex, distributions, exceptions, framework, functions, license, numbers, overview, parsing, random, see, solving, table, user

The index.xml Java example source code

<?xml version="1.0"?>

<!--
   Licensed to the Apache Software Foundation (ASF) under one or more
  contributor license agreements.  See the NOTICE file distributed with
  this work for additional information regarding copyright ownership.
  The ASF licenses this file to You 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.
  -->
  
<?xml-stylesheet type="text/xsl" href="./xdoc.xsl"?>
<document url="index.html">
  <properties>
    <title>The Commons Math User Guide - Table of Contents
  </properties>

  <body>
      <section name="Table of Contents" href="toc">

        <ul>
          <li>0. Overview
            <ul>
              <li>0.1 About the User Guide
              <li>0.2 What's in commons-math
              <li>0.3 How commons-math is organized
              <li>0.4 How interface contracts are specified in commons-math javadoc
              <li>0.5 Dependencies
            </ul>

           <li>1. Statistics
                <ul>
                <li>1.1 Overview
                <li>1.2 Descriptive statistics
                <li>1.3 Frequency distributions
                <li>1.4 Simple regression
                <li>1.5 Multiple Regression
                <li>1.6 Rank transformations
                <li>1.7 Covariance and correlation
                <li>1.8 Statistical Tests
                </ul>
            <li>2. Data Generation
                <ul>
                <li>2.1 Overview
                <li>2.2 Random numbers
                <li>2.3 Random Vectors
                <li>2.4 Random Strings
                <li>2.5 Random permutations, combinations, sampling
                <li>2.6 Generating data 'like' an input file
                <li>2.7 PRNG Pluggability
                </ul>
            <li>3. Linear Algebra
                <ul>
                <li>3.1 Overview
                <li>3.2 Real matrices
                <li>3.3 Real vectors
                <li>3.4 Solving linear systems 
                <li>3.5 Eigenvalues/eigenvectors and singular values/singular vectors
                <li>3.6 Non-real fields (complex, fractions ...)
                </ul>             
            <li>4. Numerical Analysis
                <ul>
                <li>4.1 Overview
                <li>4.2 Error handling                
                <li>4.3 Root-finding                
                <li>4.4 Interpolation
                <li>4.5 Integration
                <li>4.6 Polynomials
                <li>4.7 Differentiation
                </ul>     
            <li>5. Special Functions
                <ul>
                <li>5.1 Overview
                <li>5.2 Erf functions
                <li>5.3 Gamma functions
                <li>5.4 Beta funtions
                </ul>   
        <li>6. Utilities
                <ul>
                <li>6.1 Overview
                <li>6.2 Double array utilities
                <li>6.3 int/double hash map
                <li>6.4 Continued Fractions
                <li>6.5 Binomial coefficients, factorials, Stirling numbers and other common math functions
                <li>6.6 Fast mathematical functions
                <li>6.7 Miscellaneous
                </ul>                                 
        <li>7. Complex Numbers
                <ul>
                <li>7.1 Overview
                <li>7.2 Complex Numbers
                <li>7.3 Complex Transcendental Functions
                <li>7.4 Complex Formatting and Parsing
                </ul>                                 
        <li>8. Probability Distributions
                <ul>
                <li>8.1 Overview
                <li>8.2 Distribution Framework
                <li>8.3 User Defined Distributions
                </ul>                                 
        <li>9. Fractions
                <ul>
                <li>9.1 Overview
                <li>9.2 Fraction Numbers
                <li>9.3 Fraction Formatting and Parsing
                </ul>                                 
        <li>10. Transform methods                                 
        <li>11. Geometry
                <ul>
                <li>11.1 Overview
                <li>11.2  Euclidean spaces
                <li>11.3 n-Sphere
                <li>11.4 Binary Space Partitioning
                <li>11.5 Regions
                </ul>                                 
        <li>12. Optimization
                <ul>
                <li>12.1 Overview
                <li>12.2 Univariate Functions
                <li>12.3 Linear Programming
                <li>12.4 Direct Methods
                <li>12.5 General Case
                </ul>                                 
        <li>13. Curve Fitting
          <ul>
            <li>13.1 Overview
            <li>13.2 Implemented Functions
            <li>13.3 General Case
          </ul>
        </li>
        <li>14. Least Squares
          <ul>
            <li>14.1 Overview
            <li>14.2 LeastSquaresBuilder and LeastSquaresFactory
            <li>14.3 Model Function
            <li>14.4 Parameters Validation
            <li>14.5 Tuning
            <li>14.6 Optimization Engine
            <li>14.7 Solving
            <li>14.8 Example
          </ul>
        </li>
        <li>15. Ordinary Differential Equations Integration
                <ul>
                <li>15.1 Overview
                <li>15.2 Continuous Output
                <li>15.3 Discrete Events Handling
                <li>15.4 Available Integrators
                <li>15.5 Derivatives
                </ul>
        <li>16. Genetic Algorithms   
                <ul>
                <li>16.1 Overview
                <li>16.2 GA Framework
                <li>16.3 Implementation and Examples  
        </ul>
        <li>17. Filters
          <ul>
            <li>17.1 Overview
            <li>17.2 Kalman Filter
          </ul>
        </li>
        <li>18. Machine Learning
          <ul>
            <li>18.1 Overview
            <li>18.2 Clustering algorithms and distance measures
            <li>18.3 Implementation
          </ul>
        </li>        
        <li>19. Exceptions
          <ul>
            <li>19.1 Overview
            <li>19.2 Unchecked Exceptions
            <li>19.3 Hierarchies
            <li>19.4 Features
          </ul>
        </li>
        </ul>
      </section>
    
  </body>
  
</document>

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