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Viewing changes to Two-dimensional-histograms.html

Committer: Bazaar Package Importer
Author(s): Dirk Eddelbuettel
Date: 2006-04-12 19:46:32 UTC
mfrom: (1.3.1 upstream) (3.1.1 dapper)
Revision ID: james.westby@ubuntu.com-20060412194632-c9lodpl075pv9si3

Tags: 1.8-1

* New upstream release 1.8
* As with previous releases, the sources were obtained from the FSF web
pages by means of a wget call (c.f. the debian/rules target 'upstream')

* debian/control: Standards-Version increased to 3.6.2
* debian/copyright: Updated FSF address
* debian/rules: Set DH_COMPAT=4

files added:
2D-Histogram-Operations.html

2D-Histogram-Statistics.html

2D-Histogram-allocation.html

3_002dj-Symbols.html

6_002dj-Symbols.html

9_002dj-Symbols.html

ANSI-C-Compliance.html

Absolute-deviation.html

Acceleration-functions-without-error-estimation.html

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Beta-Functions.html

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Block-allocation.html

Blocks.html

Carlson-Forms.html

Chebyshev-Approximation-References-and-Further-Reading.html

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Chebyshev-Definitions.html

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Clausen-Functions.html

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Conical-Functions.html

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DWT-in-two-dimension.html

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Dawson-Function.html

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Defining-the-ODE-System.html

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Definition-of-Legendre-Forms.html

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Digamma-Function.html

Dilogarithm.html

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PLAIN-Monte-Carlo.html

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Permutations.html

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Providing-the-Function-to-be-Minimized.html

Providing-the-function-to-minimize.html

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QAGS-adaptive-integration-with-singularities.html

QAWC-adaptive-integration-for-Cauchy-principal-values.html

QAWF-adaptive-integration-for-Fourier-integrals.html

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QR-Decomposition.html

Quadratic-Equations.html

Quasi_002dRandom-Sequences.html

Quasi_002drandom-number-generator-algorithms.html

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Radial-Functions-for-Hyperbolic-Space.html

Radioactivity.html

Radix_002d2-FFT-routines-for-complex-data.html

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Resampling-from-2D-histograms.html

Resampling-from-histograms.html

Restriction-Functions.html

Riemann-Zeta-Function-Minus-One.html

Riemann-Zeta-Function.html

Root-Bracketing-Algorithms.html

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Sampling-from-a-quasi_002drandom-number-generator.html

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Search-Stopping-Parameters-for-Minimization-Algorithms.html

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Selecting-the-k-smallest-or-largest-elements.html

Series-Acceleration-References.html

Series-Acceleration.html

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Shared-Libraries.html

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Simulated-Annealing-References-and-Further-Reading.html

Simulated-Annealing-algorithm.html

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Special-Function-Modes.html

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Synchrotron-Functions.html

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The-2D-histogram-struct.html

The-Bernoulli-Distribution.html

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The-gsl_005fsf_005fresult-struct.html

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Using-the-library.html

VEGAS.html

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Two-dimensional-histograms.html

<head>

<title>Two dimensional histograms - GNU Scientific Library -- Reference Manual</title>

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<p>

Next: <a rel="next" accesskey="n" href="The-2D-histogram-struct.html#The-2D-histogram-struct">The 2D histogram struct</a>,

Previous: <a rel="previous" accesskey="p" href="Example-programs-for-histograms.html#Example-programs-for-histograms">Example programs for histograms</a>,

Up: <a rel="up" accesskey="u" href="Histograms.html#Histograms">Histograms</a>

<hr>

</div>

<h3 class="section">21.12 Two dimensional histograms</h3>

A two dimensional histogram consists of a set of <dfn>bins</dfn> which count

the number of events falling in a given area of the (x,y)

plane. The simplest way to use a two dimensional histogram is to record

two-dimensional position information, n(x,y). Another possibility

is to form a <dfn>joint distribution</dfn> by recording related

variables. For example a detector might record both the position of an

event (x) and the amount of energy it deposited E. These

could be histogrammed as the joint distribution n(x,E).

</body></html>

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