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alexkritchevsky.com | ||
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www.reedbeta.com
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| | | | | Pixels and polygons and shaders, oh my! | |
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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. | |
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www.shapeoperator.com
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| | | | | [AI summary] The text discusses the use of geometric algebra to solve a sunset problem posed by Robert Vanderbei, avoiding the need for angles. It highlights the advantages of geometric algebra over classical trigonometry, complex numbers, and other methods, emphasizing its coordinate-free nature and applicability to higher dimensions. The text also recommends resources for learning geometric algebra and mentions related problems and experiments for estimating Earth's size. | |
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www.scijournal.org
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| | | This guide will show you how to write a dot product in LaTeX | ||
