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| | thenumb.at
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| | [AI summary] This text provides an in-depth exploration of how functions can be treated as vectors, particularly in the context of signal and geometry processing. It discusses the representation of functions as infinite-dimensional vectors, the use of Fourier transforms in various domains (such as 1D, spherical, and mesh-based), and the application of linear algebra to functions for tasks like compression and smoothing. The text also touches on the mathematical foundations of these concepts, including the Laplace operator, eigenfunctions, and orthonormal bases. It concludes with a list of further reading topics and acknowledges the contributions of reviewers.
| | therealmjp.github.io
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| | This is part 1 of a series on Spherical Gaussians and their applications for pre-computed lighting. You can find the other articles here: Part 1 -A Brief (and Incomplete) History of Baked Lighting Representations Part 2 -Spherical Gaussians 101 Part 3 -Diffuse Lighting From an SG Light Source Part 4 -Specular Lighting From an SG Light Source Part 5 -Approximating Radiance and Irradiance With SG's
| | jamie-wong.com
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| | One of the techniques used in many demo scenes is called ray marching. This algorithm, used in combination with a special kind of function called
| | stribny.name
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| Fields in Artificial Intelligence and what libraries to use to address them.