github.com/vectordotdev/vector
vectordotdev/vector
A high-performance observability data pipeline. (⭐ 21445)
arxiv.org/abs/2504.15413v2
Highest weight vectors of tensors
We study highest weight vectors for symmetric and alternating spaces of tensors, whose dimensions are given by generalized Kronecker coefficients. We describe the algebraic relations for classical constructions of corresponding spanning sets of highe...
arxiv.org/abs/1307.7857v1
Classification of Finite Potent Endomorphisms
The aim of this work is to offer a family of invariants that allows us to classify finite potent endomorphisms on arbitrary vector spaces, generalizing the classification of endomorphisms on finite-dimensional vector spaces. As a particular case we c...
stackoverflow.com/questions/41613963/how-to-calculate-mean-for-batch-of-images-in-python-in-a-non-vectorized-way
How to calculate mean for batch of images in Python in a non vectorized way?
Tags: python, image, numpy | Score: 2
arxiv.org/abs/math/0111215v1
Motivic zeta functions for prehomogeneous vector spaces and castling transformat…
We study the behaviour of motivic zeta functions of prehomogeneous vector spaces under castling transformations. In particular we deduce how the motivic Milnor fibre and the Hodge spectrum at the origin behave under such transformations....
arxiv.org/abs/1502.07831v2
High Dimensional and Banded Vector Autoregressions
We consider a class of vector autoregressive models with banded coefficient matrices. The setting represents a type of sparse structure for high-dimensional time series, though the implied autocovariance matrices are not banded. The structure is also...
arxiv.org/abs/1608.00636v1
A survey of sparse matrix-vector multiplication performance on large matrices
We contribute a third-party survey of sparse matrix-vector (SpMV) product performance on industrial-strength, large matrices using: (1) The SpMV implementations in Intel MKL, the Trilinos project (Tpetra subpackage), the CUSPARSE library, and the CUS...
arxiv.org/abs/1109.0472v1
Maximizing the statistical diversity of an ensemble of bred vectors by using the…
We show that the choice of the norm has a great impact on the construction of ensembles of bred vectors. The geometric norm maximizes (in comparison with other norms like the Euclidean one) the statistical diversity of the ensemble while, at the same...
arxiv.org/abs/nlin/0311016v1
Dynamic Scaling of Bred Vectors in Chaotic Extended Systems
We argue that the spatiotemporal dynamics of bred vectors in chaotic extended systems are related to a kinetic roughening process in the Kardar-Parisi-Zhang universality class. This implies that there exists a characteristic length scale correspond...
arxiv.org/abs/2003.05049v2
Stochastically perturbed bred vectors
The breeding method is a computationally cheap procedure to generate initial conditions for ensemble forecasting which project onto relevant synoptic growing modes. Ensembles of bred vectors, however, often lack diversity and align with the leading L...
arxiv.org/abs/1802.05870v1
The dynamic impact of monetary policy on regional housing prices in the US: Evid…
In this study interest centers on regional differences in the response of housing prices to monetary policy shocks in the US. We address this issue by analyzing monthly home price data for metropolitan regions using a factor-augmented vector autoregr...
github.com/milvus-io/milvus
milvus-io/milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search (⭐ 43180)
arxiv.org/abs/1607.02699v2
At Every Corner: Determining Corner Points of Two-User Gaussian Interference Cha…
The corner points of the capacity region of the two-user Gaussian interference channel under strong or weak interference are determined using the notions of almost Gaussian random vectors, almost lossless addition of random vectors, and almost linear...
github.com/hackedteam/vector-silent
hackedteam/vector-silent
Silent installer (⭐ 30)
arxiv.org/abs/1904.05684v1
Range convergence monotonicity for vector measures and range monotonicity of the…
We prove that the range of sequence of vector measures converging widely satisfies a weak lower semicontinuity property, that the convergence of the range implies the strict convergence (convergence of the total variation) and that the strict converg...
arxiv.org/abs/2204.04075v2
Hyper-holomorphic connections on vector bundles on hyper-Kähler manifolds
We study infinitesimal deformations of autodual and hyper-holomorphic connections on complex vector bundles on hyper-Kähler manifolds of arbitrary dimension. In particular, we describe the DG Lie algebra controlling this deformation problem. Moreove...
www.bing.com/ck/a?!&&p=e82408730c39fcf349497993559b44c2b2b2866f56e5fd6477da4cac199573abJmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=3272ef73-1fcf-6839-02e1-f8631e7b690c&u=a1aHR0cHM6Ly9zdWJtaXQuc2h1dHRlcnN0b2NrLmNvbS8&ntb=1
Sell photos, footage clips, illustrations & vectors | Shutterstock
Shutterstock is a global marketplace for artists and creators to sell royalty-free images, footage, vectors and illustrations. We want to see the world through your eyes.
www.bing.com/ck/a?!&&p=10a1781bb4c886d5ec3ee90b701a7fce8d6f1ed38ba97c7518be8c5b72f618b1JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=3272ef73-1fcf-6839-02e1-f8631e7b690c&u=a1aHR0cHM6Ly93d3cuc2h1dHRlcnN0b2NrLmNvbS9zZWFyY2g_bXNvY2tpZD0zMjcyZWY3MzFmY2Y2ODM5MDJlMWY4NjMxZTdiNjkwYw&ntb=1
Images, Stock Photos, 3D objects, & Vectors | Shutterstock
Find stock images in HD and millions of other royalty-free stock photos, 3D objects, illustrations and vectors in the Shutterstock collection. Thousands of new, high-quality pictures added every day.
arxiv.org/abs/math/9806022v2
Concrete representation of martingales
Let (f_n) be a mean zero vector valued martingale sequence. Then there exist vector valued functions (d_n) from [0,1]^n such that int_0^1 d_n(x_1,...,x_n) dx_n = 0 for almost all x_1,...,x_{n-1}, and such that the law of (f_n) is the same as the la...
arxiv.org/abs/2411.06404v5
MA-DV2F: A Multi-Agent Navigation Framework using Dynamic Velocity Vector Field
In this paper we propose MA-DV2F: Multi-Agent Dynamic Velocity Vector Field. It is a framework for simultaneously controlling a group of vehicles in challenging environments. DV2F is generated for each vehicle independently and provides a map of refe...