Explore >> Select a destination
|
You are here 
|
www.rareskills.io | ||
| | | | |
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... | |
| | | | |
rot256.dev
|
|
| | | | | Introduction In this post we will take a look at the Fast Reed-Solomon IOP (FRI) proximity test, which enables an untrusted prover to convince a verifier that a committed vector is close to a Reed-Solomon codeword with communication only poly-logarithmic in the dimension of the code. This is readily used to construct practically efficient zkSNARKs from just cryptographic hash functions (rather random oracles), without the need for a trusted setup. | |
| | | | |
vitalik.eth.limo
|
|
| | | | | [AI summary] The user is interested in understanding polynomial commitments and their applications in privacy-preserving computations, particularly in blockchain. They have provided a detailed overview of FRI, Kate, and bulletproofs, along with finite field arithmetic and encoding computations into polynomial equations. The user is looking for a concise summary of the key points, further clarification on the concepts, and guidance on how to proceed with learning more about the topic. | |
| | | | |
blog.foletta.net
|
|
| | | |||
