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http://www.wolframalpha.com/examples/mathematics/linear-algebra/vectors

Wolfram|Alpha Examples: Vectors

Examples for Vectors are objects in ann-dimensional vector space that consist of a simple list of numerical or symbolic values. Wolfram|Alpha can convert vectors to spherical or polar coordinate syste...
https://www.slideshare.net/slideshow/the-cross-product-of-vectors/55367696

the cross product of vectors | PDF

The document defines the cross product of two vectors in R3. It provides properties of the cross product, including that it is skew-commutative and not associative. The cross product of two vectors v ...
https://doi.org/10.1007/3-540-28504-0_2

Computing f(A)b for Matrix Functions f | Springer Nature Link

For matrix function f we investigate how to compute a matrix-vector product f(A)b without explicitly computing f(A). A general method is described that applies quadrature to the matrix version of the ...
https://www.slideshare.net/slideshow/numerical-methods-power-method-for-eigen-values/58085578

Numerical Methods - Power Method for Eigen values | PDF

The document discusses the power method, an iterative method for estimating the largest or smallest eigenvalue and corresponding eigenvector of a matrix. It begins by introducing the power method and ...
https://www.slideshare.net/slideshow/convolution-sum-using-graphical-and-matrix-method/238765237

Convolution sum using graphical and matrix method | PPTX

The document describes two methods for computing the convolution sum of two sequences: the graphical method and the matrix method. The graphical method involves plotting the two sequences and calcul...
https://www.slideshare.net/slideshow/inner-product-space/75646778

Inner Product Space | PPTX

(1) The document discusses inner product spaces and related linear algebra concepts such as orthogonal vectors and bases, Gram-Schmidt process, orthogonal complements, and orthogonal projections. (2)...
https://www.slideshare.net/slideshow/vectors-of-bachelors-of-computer-science/274499247

Vectors of Bachelors of computer science | PPTX

This document provides a comprehensive overview of vectors and vector-valued functions, covering topics such as vector definitions, operations (addition, subtraction, scalar multiplication), and prope...
https://doi.org/10.1007/JHEP03%282015%29037

Associated production of Higgs boson with vector boson at thresho...

We present the results for the associated production of Higgs boson with vector boson computed at threshold N3LO in QCD. We use the recently available resu
https://www.slideshare.net/slideshow/vector-algebra-pptx-pptpptpptjhbuhjbubbhbh/273623900

VECTOR ALGEBRA.pptx pptpptpptjhbuhjbubbhbh | PPTX

Vector algebra is a mathematical discipline focused on the study and manipulation of vectors, which possess both magnitude and direction. Key operations include vector addition, subtraction, dot produ...
https://www.academia.edu/figures/22396640/table-10-dynamic-version-is-that-we-could-assign-different

Table 10 - from From block-Toeplitz matrices to differential

Table 10: dynamic version is that we could assign different transition probabilities for adjacent nodes (rather than sampling next point of the walk uniformly at random). The transition probability ma...
https://techcrunch.com/2023/05/31/lightmatters-photonic-ai-hardware-is-ready-to-shine-with-154m-in-new-funding

Lightmatter's photonic AI hardware is ready to shine with $154M i...

The first StrictlyVC of 2026 hits SF on April 30. Tickets are going fast.Register now. Buy one Disrupt pass, and get the second at 50% off. Ends May 8.Register now. Latest AI Amazon Apps Biotech & Hea...
https://link.springer.com/10.1007/s10915-025-03157-9?fromPaywallRec=false

Randomized Strong Recursive Skeletonization: Simultaneous Compres...

The hierarchical matrix framework partitions matrices into subblocks that are either small or of low numerical rank, enabling linear storage complexity and
https://link.springer.com/10.1007/s10915-025-03157-9?fromPaywallRec=true

Randomized Strong Recursive Skeletonization: Simultaneous Compres...

The hierarchical matrix framework partitions matrices into subblocks that are either small or of low numerical rank, enabling linear storage complexity and
https://arxiv.org/html/2604.02530v2

AQ-Stacker: An Adaptive Quantum Matrix Multiplication Algorithm w...

Content selection saved. Describe the issue below: Matrix multiplication (MatMul) is the computational backbone of modern machine learning, yet its classical complexity remains a bottleneck for large-...
https://arxiv.org/html/2603.00594v1

An adaptive integrating factor midpoint method for second order e...

Content selection saved. Describe the issue below: remarkRemark\newsiamremarkhypothesisHypothesis\newsiamthmclaimClaim\newsiamremarkfactFact\headersAn adaptive time-stepping method for linear hyperbol...
https://doi.org/10.1134/S0965542523090099

Constructive Algorithm to Vectorize P ⊗ P Product for Symmetric M...

A constructive algorithm to compute elimination $$\bar {L}$$ and duplication $$\bar {D}$$ matrices for the operation of $$P \otimes P$$ vectorization when
https://link.springer.com/10.1134/S0965542523090099?fromPaywallRec=false

Constructive Algorithm to Vectorize P ⊗ P Product for Symmetric M...

A constructive algorithm to compute elimination $$\bar {L}$$ and duplication $$\bar {D}$$ matrices for the operation of $$P \otimes P$$ vectorization when
https://mathworld.wolfram.com/VectorQuadrupleProduct.html

Vector Quadruple Product -- from Wolfram MathWorld

There are a number of algebraic identities involving sets of fourvectors. An identity known asLagrange's identityis given by (Bronshtein and Semendyayev 2004, p. 185). Letting, a number of other use...
https://ui.adsabs.harvard.edu/abs/arXiv:1307.0411

Quantum algorithms for supervised and unsupervised machine learni...

Machine-learning tasks frequently involve problems of manipulating and classifying large numbers of vectors in high-dimensional spaces. Classical algorithms for solving such problems typically take ti...
https://ui.adsabs.harvard.edu/abs/2013arXiv1307.0411L/similar

Quantum algorithms for supervised and unsupervised machine learni...

Machine-learning tasks frequently involve problems of manipulating and classifying large numbers of vectors in high-dimensional spaces. Classical algorithms for solving such problems typically take ti...