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mir-algorithm 3.22.0

Dlang Core Library

To use this package, run the following command in your project's root directory:

Manual usage
Put the following dependency into your project's dependences section:

dub.json

dub.sdl

Info Documentation

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Dub downloads Dub downloads License Latest version Bountysource

Mir Algorithm

API Documentation

Blogs

Tasty D - Multidimensional Arrays in D
Tasty D - Using External D Libraries in D Scripts and Projects
Tasty D - Pretty-printing D Arrays
Shigeki Karita - D言語で数値計算 mir-algorithm
Shigeki Karita - D言語(mir)でNumPyを拡張する (mir-pybuffer integration)
Mir Blog (deprecated)

Mir Type System for .NET

Example (3 sec)

/+dub.sdl:
dependency "mir-algorithm" version="~>2.0.0"
+/
void main()
{
 import mir.ndslice;
 auto matrix = slice!double(3, 4);
 matrix[] = 0;
 matrix.diagonal[] = 1;
 auto row = matrix[2];
 row[3] = 6;
 assert(matrix[2, 3] == 6); // D & C index order
 
 import mir.stdio;
 matrix.writeln;
 // prints [[1.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 1.0, 6.0]]
}

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Example (30 sec)

/+dub.sdl:
dependency "mir-algorithm" version="~>2.0.0"
+/
void main()
{
 import mir.ndslice;
 import std.stdio : writefln;
 enum fmt = "%(%(%.2f %)\n%)\n";
 // Magic sqaure. 
 // `a` is lazy, each element is computed on-demand.
 auto a = magic(5).as!float;
 writefln(fmt, a);
 // 5x5 grid on sqaure [1, 2] x [0, 1] with values x * x + y. 
 // `b` is lazy, each element is computed on-demand.
 auto b = linspace!float([5, 5], [1f, 2f], [0f, 1f]).map!"a * a + b";
 writefln(fmt, b);
 // allocate a 5 x 5 contiguous matrix
 auto c = slice!float(5, 5);
 c[] = transposed(a + b / 2); // no memory allocations here
 // 1. b / 2 - lazy element-wise operation with scalars
 // 2. a + (...) - lazy element-wise operation with other slices
 // Both slices must be `contiguous` or one-dimensional.
 // 3. transposed(...) - trasposes matrix view. The result is `universal` (numpy-like) matrix.
 // 5. c[] = (...) -- performs element-wise assignment.
 writefln(fmt, c);
}

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