Dlang core library for math, finance and a home for Dlang multidimensional array package - ndslice.
- API Documentation
- Scheme of basic API (advanced)
- Lubeck - Linear Algebra Library for Mir Algorithm
- Mir Blog
- Shigeki Karita - D言語で数値計算 mir-algorithm
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 orderimport 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);
