mir-algorithm 0.7.0-alpha9
Multidimensional arrays (ndslice), ranges, iterators, and algorithms for Dlang
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:
Mir Algorithm
Dlang core library for math, finance and a home for Dlang multidimensional array package - ndslice.
Links
- API Documentation
- Scheme of basic API (advanced)
- Lubeck - Linear Algebra Library for Mir Algorithm
Blogs
- Mir Blog
- Shigeki Karita - D言語で数値計算 mir-algorithm
Example (3 sec)
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
Example (30 sec)
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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- Registered by Ilia Ki
- 0.7.0-alpha9 released 7 years ago
- libmir/mir-algorithm
- BSL-1.0
- Copyright © 2016 - 2017, Ilya Yaroshenko; Copyright © 2017, Symmetry Investments Group and Kaleidic Associates Advisory Limited; Copyright 2016 - 2017 © Digital Mars; (see information per file)
- Authors:
- Dependencies:
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- Versions:
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3.22.1 2024-Apr-23 3.22.0 2023-Aug-09 3.21.0 2023-Aug-02 3.20.5 2023-Jul-29 3.20.4 2023-May-22 - Download Stats:
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