| struct Adjacency | |
| { | |
| struct Vertex | |
| { | |
| // Vertices are shared by a variable number of edges. This indexes the global EdgeRef array. | |
| uint32_t edgeStartRef; | |
| uint32_t nbEdges; | |
| }; | |
| union EdgeRef |
| // --- Library -------------------------------------------------------------------------- | |
| #include <string.h> | |
| #include <assert.h> | |
| struct ui_box {int x,y,w,h;}; | |
| typedef unsigned long long ui_id; | |
| struct ui_node { | |
| int parent; | |
| int lst, end, nxt; | |
| int siz[2]; |
| import numpy as np | |
| def plu_inplace(A): | |
| P = np.arange(len(A)) | |
| for i in range(len(A)): | |
| j = i + np.argmax(np.abs(A[i:, i])) | |
| P[[i, j]], A[[i, j]] = P[[j, i]], A[[j, i]] | |
| A[i+1:, i] /= A[i, i] | |
| A[i+1:, i+1:] -= np.outer(A[i+1:, i], A[i, i+1:]) | |
| return P, A, A |
| # Tensor product contractions with Einstein's summation notation. Examples: | |
| # Matrix-matrix multiply is tensor(A, 'ij', B, 'jk') | |
| # Matrix-vector multiply is tensor(A, 'ij', v, 'j') | |
| # Matrix trace is tensor(A, 'ii') | |
| # Matrix transpose is tensor(A, 'ji') | |
| # Matrix diagonal is tensor('i', A, 'ii') | |
| # Inner product is tensor(v, 'i', w, 'i') | |
| # Outer product is tensor(v, 'i', w, 'j') | |
| def tensor(*args, **kwargs): | |
| result = '' |
As C programmers, most of us think of pointer arithmetic for multi-dimensional arrays in a nested way:
The address for a 1-dimensional array is base + x.
The address for a 2-dimensional array is base + x + y*x_size for row-major layout and base + y + x*y_size for column-major layout.
The address for a 3-dimensional array is base + x + (y + z*y_size)*x_size for row-column-major layout.
And so on.
Minimal D3D11 reference implementation: An uncluttered Direct3D 11 setup + basic rendering primer and API familiarizer. Complete, runnable Windows application contained in a single function and laid out in a linear, step-by-step fashion that should be easy to follow from the code alone. ~200 LOC. No modern C++, OOP or (other) obscuring cruft. View on YouTube
Also check out Minimal D3D11 pt2, reconfigured for instanced rendering and with a smaller, tighter, simplified overall code structure, or Minimal D3D11 pt3, with shadowmapping + showcasing a range of alternative setup and rendering techniques.
Andrew Ng lecture, Stanford Graduate School of Business
High level, but totally worth watching.
https://www.youtube.com/watch?v=21EiKfQYZXc
I went looking for lectures from different sources and these are a great "from first principles" introduction. The newer cs231n lectures may have more relevant details, but I like Andrej Karpathy's
| // | |
| // Author: Jonathan Blow | |
| // Version: 1 | |
| // Date: 31 August, 2018 | |
| // | |
| // This code is released under the MIT license, which you can find at | |
| // | |
| // https://opensource.org/licenses/MIT | |
| // | |
| // |
| // | |
| // TinyCRT, revamp and TinyWin support by Don Williamson, 2011 | |
| // Based on http://www.codeproject.com/KB/library/tlibc.aspx and LIBCTINY by Matt Pietrek | |
| // | |
| #pragma once | |
| #ifdef USE_DEFAULT_CRT |
