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Docs: minor tweaks

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Christoph Ruegg 13 years ago
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4 changed files with 27 additions and 27 deletions
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  1. 6
      docs/content/DescriptiveStatistics.fsx
  2. 28
      docs/content/Random.fsx
  3. 16
      docs/content/index.fsx
  4. 4
      docs/tools/templates/template.cshtml

6
docs/content/DescriptiveStatistics.fsx
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@ -26,13 +26,13 @@ However, various statistics can be computed much more efficiently if the data so
has known properties or structure, that's why the following classes provide specialized has known properties or structure, that's why the following classes provide specialized
static implementations: static implementations:
* `ArrayStatistics` provides routines optimized for single-dimensional arrays. Some * **ArrayStatistics** provides routines optimized for single-dimensional arrays. Some
of these routines end with the `Inplace` suffix, indicating that they reorder the of these routines end with the `Inplace` suffix, indicating that they reorder the
input array slightly towards being sorted during execution - without fully sorting input array slightly towards being sorted during execution - without fully sorting
them, which could be expensive. them, which could be expensive.
* `SortedArrayStatistics` provides routines optimized for an array sorting ascendingly. * **SortedArrayStatistics** provides routines optimized for an array sorting ascendingly.
Especially order-statistics are very efficient this way, some even with constant time complexity. Especially order-statistics are very efficient this way, some even with constant time complexity.
* `StreamingStatistics` processes large amounts of data without keeping them in memory. * **StreamingStatistics** processes large amounts of data without keeping them in memory.
Useful if data larger than local memory is streamed directly from a disk or network. Useful if data larger than local memory is streamed directly from a disk or network.
Another alternative, in case you need to gather a whole set of statistical characteristics Another alternative, in case you need to gather a whole set of statistical characteristics

28
docs/content/RandomAndDistributions.fsx → docs/content/Random.fsx
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@ -101,10 +101,10 @@ or a `System.Decimal`? Extending discrete random numbers to different ranges or
if the distribution should still be uniform over the chosen range. That's why we've added a few extensions if the distribution should still be uniform over the chosen range. That's why we've added a few extensions
methods which are available on all RNGs (including System.Random itself): methods which are available on all RNGs (including System.Random itself):
* NextInt64: generates a 64 bit integer, uniform in the range [0, Long.MaxValue) * **NextInt64** generates a 64 bit integer, uniform in the range [0, Long.MaxValue)
* NextFullRangeInt32: generates a 32 bit integer, uniform in the range [Int.MinValue, Int.MaxValue] * **NextDecimal** generates a `System.Decimal`, uniform in the range [0.0, 1.0)
* NextFullRangeInt64: generates a 64 bit integer, uniform in the range [Long.MinValue, Long.MaxValue] * **NextFullRangeInt32** generates a 32 bit integer, uniform in the range [Int.MinValue, Int.MaxValue]
* NextDecimal: generates a `System.Decimal`, uniform in the range [0.0, 1.0) * **NextFullRangeInt64** generates a 64 bit integer, uniform in the range [Long.MinValue, Long.MaxValue]
Seeds Seeds
@ -151,16 +151,16 @@ Uniform Random Number Generators
Up to now we've used only `SystemRandomSource`, but there's much more: Up to now we've used only `SystemRandomSource`, but there's much more:
* `SystemRandomSource`: Wraps the .NET BCL System.Random to provide thread-safety * **SystemRandomSource**: Wraps the .NET System.Random to provide thread-safety
* `CryptoRandomSource`: Wraps the .NET BCL RNGCryptoServiceProvider. *Not available in portable builds.* * **CryptoRandomSource**: Wraps the .NET RNGCryptoServiceProvider. *Not available in portable builds.*
* `MersenneTwister`: Mersenne Twister 19937 generator * **MersenneTwister**: Mersenne Twister 19937 generator
* `Xorshift`: Multiply-with-carry XOR-shift generator * **Xorshift**: Multiply-with-carry XOR-shift generator
* `Mcg31m1`: Multiplicative congruential generator using a modulus of 2^31-1 and a multiplier of 1132489760 * **Mcg31m1**: Multiplicative congruential generator using a modulus of 2^31-1 and a multiplier of 1132489760
* `Mcg59`: Multiplicative congruential generator using a modulus of 2^59 and a multiplier of 13^13 * **Mcg59**: Multiplicative congruential generator using a modulus of 2^59 and a multiplier of 13^13
* `WH1982`: Wichmann-Hill's 1982 combined multiplicative congruential generator * **WH1982**: Wichmann-Hill's 1982 combined multiplicative congruential generator
* `WH2006`: Wichmann-Hill's 2006 combined multiplicative congruential generator * **WH2006**: Wichmann-Hill's 2006 combined multiplicative congruential generator
* `Mrg32k3a`: 32-bit combined multiple recursive generator with 2 components of order 3 * **Mrg32k3a**: 32-bit combined multiple recursive generator with 2 components of order 3
* `Palf`: Parallel Additive Lagged Fibonacci generator * **Palf**: Parallel Additive Lagged Fibonacci generator
Let's sample a few uniform random values using Mersenne Twister in C#: Let's sample a few uniform random values using Mersenne Twister in C#:

16
docs/content/index.fsx
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@ -12,14 +12,14 @@ Installation Instructions
The recommended way to get Math.NET Numerics is to use NuGet. The following packages are provided and maintained in the public [NuGet Gallery](https://nuget.org/profiles/mathnet/): The recommended way to get Math.NET Numerics is to use NuGet. The following packages are provided and maintained in the public [NuGet Gallery](https://nuget.org/profiles/mathnet/):
- `MathNet.Numerics` - core package, including .Net 4, .Net 3.5 and portable/PCL builds. - **MathNet.Numerics** - core package, including .Net 4, .Net 3.5 and portable/PCL builds.
- `MathNet.Numerics.FSharp` - optional extensions for a better F# experience. BigRational. - **MathNet.Numerics.FSharp** - optional extensions for a better F# experience. BigRational.
- `MathNet.Numerics.Data.Text` - optional extensions for text-based matrix input/output. - **MathNet.Numerics.Data.Text** - optional extensions for text-based matrix input/output.
- `MathNet.Numerics.Data.Matlab` - optional extensions for MATLAB matrix file input/output. - **MathNet.Numerics.Data.Matlab** - optional extensions for MATLAB matrix file input/output.
- `MathNet.Numerics.MKL.Win-x86` - optional Linear Algebra MKL native provider. - **MathNet.Numerics.MKL.Win-x86** - optional Linear Algebra MKL native provider.
- `MathNet.Numerics.MKL.Win-x64` - optional Linear Algebra MKL native provider. - **MathNet.Numerics.MKL.Win-x64** - optional Linear Algebra MKL native provider.
- `MathNet.Numerics.Signed` - strong-named version of the core package *(not recommended)*. - **MathNet.Numerics.Signed** - strong-named version of the core package *(not recommended)*.
- `MathNet.Numerics.FSharp.Signed` - strong-named version of the F# package *(not recommended)*. - **MathNet.Numerics.FSharp.Signed** - strong-named version of the F# package *(not recommended)*.
Alternatively you can also download the binaries in Zip packages, available on [CodePlex](http://mathnetnumerics.codeplex.com/releases): Alternatively you can also download the binaries in Zip packages, available on [CodePlex](http://mathnetnumerics.codeplex.com/releases):

4
docs/tools/templates/template.cshtml
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@ -51,7 +51,7 @@
<li><a href="http://numerics.mathdotnet.com/api/">Class Reference</a></li> <li><a href="http://numerics.mathdotnet.com/api/">Class Reference</a></li>
<li class="nav-header">Getting Started</li> <li class="nav-header">Getting Started</li>
<li><a href="@Root/index.html">Getting started</a></li> <li><a href="@Root/">Getting started</a></li>
<li>Constants</li> <li>Constants</li>
<li>Floating-Point Numbers</li> <li>Floating-Point Numbers</li>
<li>Arbitrary Precision Numbers</li> <li>Arbitrary Precision Numbers</li>
@ -71,7 +71,7 @@
<li class="nav-header">Generation</li> <li class="nav-header">Generation</li>
<li><a href="@Root/Generate.html">Generating Data</a></li> <li><a href="@Root/Generate.html">Generating Data</a></li>
<li><a href="@Root/RandomAndDistributions.html">Random Numbers</a></li> <li><a href="@Root/Random.html">Random Numbers</a></li>
<li class="nav-header">Transformation</li> <li class="nav-header">Transformation</li>
<li>Fourier Transform (FFT)</li> <li>Fourier Transform (FFT)</li>

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