Search Results - numerical algorithms and problems - computation on (matrices OR matice)

Optimization algorithms on matrix manifolds by Absil, P.A, Absil, P.A, Mahony,R, Sepulchre,R

“… This book shows how to exploit the special structure of such problems to develop efficient numerical algorithms…”
Get full text

Pied kingfisher optimizer: a new bio-inspired algorithm for solving numerical optimization and industrial engineering problems by Bouaouda, Anas, Hashim, Fatma A., Sayouti, Yassine, Hussien, Abdelazim G.

“…In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-heuristic algorithm that draws inspiration from the distinctive…”
Get full text

Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions by Halko, N., Martinsson, P. G., Tropp, J. A.

“… This paper presents a modular framework for constructing randomized algorithms that compute partial matrix decompositions…”
Get full text

Bezier Search Differential Evolution Algorithm for numerical function optimization: A comparative study with CRMLSP, MVO, WA, SHADE and LSHADE by Civicioglu, Pinar, Besdok, Erkan

“…Differential Evolution Algorithm (DE) is a commonly used stochastic search method for solving real-valued numerical optimization problems…”
Get full text

Matrices, Moments and Quadrature with Applications by Golub, Gene H, Meurant, Gérard

“…This computationally oriented book describes and explains the mathematical relationships among matrices, moments, orthogonal polynomials, quadrature rules, and the Lanczos and conjugate gradient algorithms…”
Get full text

Coded Computation Over Heterogeneous Clusters by Reisizadeh, Amirhossein, Prakash, Saurav, Pedarsani, Ramtin, Avestimehr, Amir Salman

“… There have been recent results that demonstrate the impact of coding for efficient utilization of computation and storage redundancy to alleviate the effect of stragglers and communication…”
Get full text

A bidiagonalization-based numerical algorithm for computing the inverses of (p,q)-tridiagonal matrices by Jia, Ji-Teng, Xie, Rong, Xu, Xiao-Yan, Ni, Shuo, Wang, Jie

“… )-tridiagonal matrices under a certain condition. The algorithm is based on the combination of a bidiagonalization approach which preserves the banded structure and sparsity of the original matrix, and a recursive algorithm for inverting general…”
Get full text

Modulus-based matrix splitting methods for horizontal linear complementarity problems by Mezzadri, Francesco, Galligani, Emanuele

“…) linear complementarity problems. Lastly, we analyze the proposed methods by numerical experiments involving both symmetric and non-symmetric matrices…”
Get full text

Decomposition of Binary Matrices and Fast Hadamard Transforms by Sarukhanyan, Hakob, Agaian, Sos, Astola, Jaakko, Egiazarian, Karen

“… In this paper, a general and efficient algorithm for decomposition of binary matrices and the corresponding fast transform is developed…”
Get full text

Zhang neural networks: an introduction to predictive computations for discretized time-varying matrix problems by Uhlig, Frank

“… theory and other engineering applications in China. They have become the method of choice for many time-varying matrix problems that benefit from or require efficient, accurate and predictive real-time computations…”
Get full text

A simple, randomized algorithm for diagonalizing normal matrices: A simple, randomized algorithm by He, Haoze, Kressner, Daniel

“…We present and analyze a simple numerical method that diagonalizes a complex normal matrix A by diagonalizing the Hermitian matrix obtained from a random linear combination of the Hermitian and skew…”
Get full text

Scalable Gaussian Process Computations Using Hierarchical Matrices by Geoga, Christopher J., Anitescu, Mihai, Stein, Michael L.

“…We present a kernel-independent method that applies hierarchical matrices to the problem of maximum likelihood estimation for Gaussian processes…”
Get full text

Parallel Algorithms for Fluid-Structure Interaction Problems in Haemodynamics by Crosetto, Paolo, Deparis, Simone, Fourestey, Gilles, Quarteroni, Alfio

“…]). In this work we introduce a class of parallel preconditioners for the FSI problem obtained by exploiting the block-structure of the linear system…”
Get full text

Numerical solution of nonclassical boundary value problems by Boito, Paola, Eidelman, Yuli, Gemignani, Luca

“…We provide a new approach to obtain solutions of linear differential problems set in a Banach space and equipped with nonlocal boundary conditions…”
Get full text

Alpha evolution: An efficient evolutionary algorithm with evolution path adaptation and matrix generation by Gao, Hao, Zhang, Qingke

“… To solve this problem, this paper proposes a novel evolutionary algorithm called alpha evolution (AE…”
Get full text

Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators by Al-Mohy, Awad H., Higham, Nicholas J.

“… Numerical experiments show that the algorithm performs in a numerically stable fashion across a wide range of problems, and analysis…”
Get full text

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems by Gazzola, Silvia, Hansen, Per Christian, Nagy, James G.

“…This paper describes a new MATLAB software package of iterative regularization methods and test problems for large-scale linear inverse problems…”
Get full text

Layered ℌ-Matrix Based Inverse and LU Algorithms for Fast Direct Finite-Element-Based Computation of Electromagnetic Problems by HAIXIN LIU, DAN JIAO

Get full text

Constructive non-commutative rank computation is in deterministic polynomial time by Ivanyos, Gábor, Qiao, Youming, Subrahmanyam, K. V.

“…We extend the techniques developed in Ivanyos et al . (Comput Complex 26(3):717–763, 2017 ) to obtain a deterministic polynomial-time algorithm for computing the non-commutative rank of linear spaces of matrices over any field…”
Get full text

Sparse estimation of a covariance matrix by Bien, Jacob, Tibshirani, Robert J

“…We suggest a method for estimating a covariance matrix on the basis of a sample of vectors drawn from a multivariate normal distribution…”
Get more information