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On a set of matrix algebras related to discrete Hartley-type transforms

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TLDR
In this article, a set of fast real transforms including the well known Hartley transform is fully investigated and the mixed radix splitting properties of Hartley-type transforms are examined in detail.
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A new class of quasi-Newtonian methods for optimal learning in MLP-networks

TL;DR: Numerical experiences, performed on a set of standard benchmarks of MLP-networks, show the competitivity of the LQN methods, especially for large values of n, which has an O(nlogn) complexity per step.
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Matrix algebras in Quasi-Newton methods for unconstrained minimization

TL;DR: The novel approach, which generalizes classical BFGS methods, is based on a Hessian updating formula involving an algebra ℒ of matrices simultaneously diagonalized by a fast unitary transform, improving considerably BFGS computational efficiency.
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Low‐complexity minimization algorithms

TL;DR: This paper introduces the L k QN methods, which exploit low-complexity quasi-Newton methods, named LQN, for solving general (non-structured) minimization problems.
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A preconditioning approach to the pagerank computation problem

TL;DR: This work chooses the preconditioner from an algebra U of matrices, thereby obtaining an ER U method, and observes that ER U can outperform ER in terms of rate of convergence.
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Hartley-type algebras in displacement and optimization strategies

TL;DR: The Hartley-type algebras are used to face efficiently the solution of structured linear systems and to define low complexity methods for solving general (nonstructured) nonlinear problems.
References
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Book

Computational Frameworks for the Fast Fourier Transform

TL;DR: The Radix-2 Frameworks, a collection of general and high performance FFTs designed to solve the multi-Dimensional FFT problem of Prime Factor and Convolution, are presented.
Journal ArticleDOI

Conjugate Gradient Methods for Toeplitz Systems

Raymond H. Chan, +1 more
- 01 Sep 1996 - 
TL;DR: Some of the latest developments in using preconditioned conjugate gradient methods for solving Toeplitz systems are surveyed, finding that the complexity of solving a large class of $n-by-n$ ToePlitz systems is reduced to $O(n \log n)$ operations.
Journal ArticleDOI

The Discrete Cosine Transform

TL;DR: A direct proof of orthogonality, by calculating inner products, does not reveal how natural these cosine vectors are, so this work proves orthog onality in a different way.
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Fast algorithms for the discrete W transform and for the discrete Fourier transform

TL;DR: A systematic method of sparse matrix factorization is developed for all four versions of the discrete W transform, the discrete cosine transform, and the discrete sine transform as well as for the discrete Fourier transform, which makes new algorithms more efficient than conventional algorithms.
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