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The l0 pseudonorm counts the nonzero coordinates of a vector. It is often used in optimization problems to enforce the sparsity of the solution. However, this function is nonconvex and noncontinuous, and optimization problems formulated…

Optimization and Control · Mathematics 2022-08-19 Adrien Le Franc , Jean-Philippe Chancelier , Michel de Lara

The so-called l0 pseudonorm, or cardinality function, counts the number of nonzero components of a vector. In this paper, we analyze the l0 pseudonorm by means of so-called Capra (constant along primal rays) conjugacies, for which the…

Optimization and Control · Mathematics 2021-08-09 Jean-Philippe Chancelier , Michel de Lara

The so-called l0 pseudonorm on R d counts the number of nonzero components of a vector. It is well-known that the l0 pseudonorm is not convex, as its Fenchel biconjugate is zero. In this paper, we introduce a suitable conjugacy, induced by…

Optimization and Control · Mathematics 2019-02-14 Jean-Philippe Chancelier , Michel De Lara , Ponts Paristech

The so-called l0 pseudonorm counts the number of nonzero components of a vector of a Euclidian space. It is well-known that the l0 pseudonorm is not convex, as its Fenchel biconjugate is zero. In this paper, we introduce a suitable…

Optimization and Control · Mathematics 2021-06-18 Jean-Philippe Chancelier , Michel de Lara

The support of a vector in R d is the set of indices with nonzero entries. Functions of the support have the property to be 0-homogeneous and, because of that, the Fenchel conjugacy fails to provide relevant analysis. In this paper, we…

Optimization and Control · Mathematics 2020-10-27 Jean-Philippe Chancelier , Michel de Lara

This paper focuses on a specific form of abstract convexity known as Capra-convexity, where a constant along primal rays (Capra) coupling replaces the scalar product used in standard convex analysis to define generalized Fenchel…

Optimization and Control · Mathematics 2026-04-08 Jean-Philippe Chancelier , Michel de Lara , Adrien Le Franc , Seta Rakotomandimby

The so-called l0 pseudonorm on the Euclidean space Rd counts the number of nonzero components of a vector. We say that a sequence of norms is strictly increasingly graded (with respect to the l0 pseudonorm) if it is nondecreasing and that…

Optimization and Control · Mathematics 2022-07-21 Jean-Philippe Chancelier , Michel de Lara

Whereas the norm of a vector measures amplitude (and is a 1-homogeneous function), sparsity is measured by the 0-homogeneous l0 pseudonorm, which counts the number of nonzero components. We propose a family of conjugacies suitable for the…

Optimization and Control · Mathematics 2021-06-01 Thomas Bittar , Jean-Philippe Chancelier , Michel de Lara

We consider the space of matrices, with given number of rows and of columns, equipped with the classic trace scalar product. With any matrix (source) norm, we associate a coupling, called Capra, between the space of matrices and itself.…

Optimization and Control · Mathematics 2023-02-07 Paul Barbier , Jean-Philippe Chancelier , Michel de Lara , Valentin Paravy

Based on the needs of convergence proofs of preconditioned proximal point methods, we introduce notions of partial strong submonotonicity and partial (metric) subregularity of set-valued maps. We study relationships between these two…

Optimization and Control · Mathematics 2020-03-02 Tuomo Valkonen

In exact sparse optimization problems on Rd (also known as sparsity constrained problems), one looks for solution that have few nonzero components. In this paper, we consider problems where sparsity is exactly measured either by the…

Optimization and Control · Mathematics 2019-02-14 Jean-Philippe Chancelier , Michel De Lara , Ponts Paristech

The loop-current state discovered in under-doped cuprates is characterized by a vector ${\bf \Omega}$ which has four possible orientations which correspond to different domains of order in a perfect sample. Since translational symmetry…

Strongly Correlated Electrons · Physics 2015-01-05 C. M. Varma

We address how the finite frequency real conductivity $\sigma(\omega)$ in the underdoped cuprates is affected by the pseudogap, contrasting the behavior above and below $T_c$. The f-sum rule is analytically shown to hold. Here we presume…

Superconductivity · Physics 2013-05-30 Dan Wulin , Hao Guo , Chih-Chun Chien , K. Levin

We use a symmetry-constrained variational procedure to construct a generalization of BCS to include Cooper pairs with non-zero momentum and angular momentum. The resulting gap equations are solved at zero and finite temperature, and the…

Superconductivity · Physics 2008-11-26 Yang Sun , Mike Guidry , Cheng-Li Wu

For statistical modeling wherein the data regime is unfavorable in terms of dimensionality relative to the sample size, finding hidden sparsity in the ground truth can be critical in formulating an accurate statistical model. The so-called…

Optimization and Control · Mathematics 2025-08-04 Matteo Bergamaschi , Andrea Cristofari , Vyacheslav Kungurtsev , Francesco Rinaldi

This paper provides versions of classical results from linear algebra, real analysis and convex analysis in a free module of finite rank over the ring $L^0$ of measurable functions on a $\sigma$-finite measure space. We study the question…

Functional Analysis · Mathematics 2014-10-27 Patrick Cheridito , Michael Kupper , Nicolas Vogelpoth

Evidence that the pseudogap (PG) in a near-optimally doped Bi$_2$Sr$_2$CaCu$_2$O$_{8+\delta}$ sample destroys the BCS logarithmic pairing instability [1] raises again the question of the role of the PG in the high-temperature…

Superconductivity · Physics 2015-07-23 T. A. Maier , P. Staar , D. J. Scalapino

RNA molecules are known to form complex secondary structures including pseudoknots. A systematic framework for the enumeration, classification and prediction of secondary structures is critical to determine the biological significance of…

Biomolecules · Quantitative Biology 2025-12-24 Rayan Ibrahim , Allison H. Moore

The concepts of pseudocodeword and pseudoweight play a fundamental role in the finite-length analysis of LDPC codes. The pseudoredundancy of a binary linear code is defined as the minimum number of rows in a parity-check matrix such that…

Information Theory · Computer Science 2014-10-08 Zihui Liu , Jens Zumbrägel , Marcus Greferath , Xin-Wen Wu

Recently, many collaborative representation-based (CR) algorithms have been proposed for hyperspectral anomaly detection. CR-based detectors approximate the image by a linear combination of background dictionaries and the coefficient…

Computer Vision and Pattern Recognition · Computer Science 2023-05-11 Shizhen Chang , Pedram Ghamisi
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