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| | hadrienj.github.io

In this post, we will see special kinds of matrix and vectors the diagonal and symmetric matrices, the unit vector and the concept of orthogonality.
9.0 parsecs

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| | andrea.corbellini.name

[AI summary] A technical blog post explaining elliptic curves over finite fields, covering modular arithmetic, point addition algorithms, cyclic subgroups, and the discrete logarithm problem in the context of cryptography.
10.2 parsecs

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| | jrhawley.ca

When collecting data from scientific experiments, it's often useful to compare individual samples against each other to see how similar they are. One way to do this is using the...
8.9 parsecs

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| | thenumb.at

[AI summary] The text discusses the representation of functions as vectors and their applications in various domains such as signal processing, geometry, and physics. It explains how functions can be treated as vectors in a vector space, leading to the concept of eigenfunctions and eigenvalues, which are crucial for understanding and manipulating signals and geometries. The text also covers different types of Laplacians, including the standard Laplacian, higher-dimensional Laplacians, and the Laplace-Beltrami operator, and their applications in fields like image compression, computer graphics, and quantum mechanics. The discussion includes spherical harmonics, which are used in representing functions on spheres, and their applications in game engines and glo...
37.1 parsecs

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