Tootfinder

Jeg er på dagens andre sommeravslutning. Men jeg synes det er litt tidlig å avslutte sommeren! #norsktut

HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search
Qian Xu, Feng Zhang, Chengxi Li, Lei Cao, Zheng Chen, Jidong Zhai, Xiaoyong Du
https://arxiv.org/abs/2506.14707

HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search
Approximate Nearest Neighbor Search (ANNS) is essential for various data-intensive applications, including recommendation systems, image retrieval, and machine learning. Scaling ANNS to handle billions of high-dimensional vectors on a single machine presents significant challenges in memory capacity and processing efficiency. To address these challenges, distributed vector databases leverage multiple nodes for the parallel storage and processing of vectors. However, existing solutions often suf…

EnhanceGraph: A Continuously Enhanced Graph-based Index for High-dimensional Approximate Nearest Neighbor Search
Xiaoyao Zhong, Jiabao Jin, Peng Cheng, Mingyu Yang, Lei Chen, Haoyang Li, Zhitao Shen, Xuemin Lin, Heng Tao Shen, Jingkuan Song
https://arxiv.org/abs/2506.13144

EnhanceGraph: A Continuously Enhanced Graph-based Index for High-dimensional Approximate Nearest Neighbor Search
Recently, Approximate Nearest Neighbor Search in high-dimensional vector spaces has garnered considerable attention due to the rapid advancement of deep learning techniques. We observed that a substantial amount of search and construction logs are generated throughout the lifespan of a graph-based index. However, these two types of valuable logs are not fully exploited due to the static nature of existing indexes. We present the EnhanceGraph framework, which integrates two types of logs into a …

Was speaking to some journalists recently who didn't realise how long a history the use of radar has in measuring ice thickness over glaciers.
The technique was discovered by pilots, who must have had the frankly terrifying experience of landing on the ice sheet with their radars telling them they still had a few thousand metres of descent to reach the surface...
It's not mentioned in this obituary but I wonder if this guy would have seen it? Perhaps he didn't even have radar to assist in landing?
https://flipboard.com/@newyorktimes/obituaries-bq1u22g8z/-/a-gd4LiLY4RbOMXavSDWOBQQ:a:3195393-/0
newyorktimes@flipboard.com - Conrad Shinn, First Pilot to Land at the South Pole, Dies at 102
https://www.nytimes.com/2025/06/08/obituaries/conrad-shinn-dead.html?utm_source=flipboard&utm_medium=activitypub
Posted into Obituaries @obituaries-newyorktimes

Monotone and nonmonotone linearized block coordinate descent methods for nonsmooth composite optimization problems
Yassine Nabou, Lahcen El Bourkhissi, Sebastian U. Stich, Tuomo Valkonen
https://arxiv.org/abs/2506.12397

Monotone and nonmonotone linearized block coordinate descent methods for nonsmooth composite optimization problems
In this paper, we introduce both monotone and nonmonotone variants of LiBCoD, a \textbf{Li}nearized \textbf{B}lock \textbf{Co}ordinate \textbf{D}escent method for solving composite optimization problems. At each iteration, a random block is selected, and the smooth components of the objective are linearized along the chosen block in a Gauss-Newton approach. For the monotone variant, we establish a global sublinear convergence rate to a stationary point under the assumption of bounded iterates. …

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A simple and efficient second-order immersed-boundary method for the incompressible Navier--Stokes equations
Paolo Luchini, Davide Gatti, Alessandro Chiarini, Federica Gattere, Marco Atzori, Maurizio Quadrio
https://arxiv.org/abs/2506.14328

A simple and efficient second-order immersed-boundary method for the incompressible Navier--Stokes equations
An immersed-boundary method for the incompressible Navier--Stokes equations is presented. It employs discrete forcing for a sharp discrimination of the solid-fluid interface, and achieves second-order accuracy, demonstrated in examples with highly complex three-dimensional geometries. The method is implicit, meaning that the point in the solid which is nearest to the interface is accounted for implicitly, which benefits stability and convergence properties; the correction is also implicit in ti…

Anomalous Superfluid Density in Pair-Density-Wave Superconductors
Ke Wang, Qijin Chen, Rufus Boyack, K. Levin
https://arxiv.org/abs/2506.13631 https://

Anomalous Superfluid Density in Pair-Density-Wave Superconductors
We study the superfluid density $n_s(T)$ of pair-density-wave (PDW) superconductors; this determines where they are unstable and establishes signatures of their unusual order. Here we compute $n_s(T)$ for the 2D unidirectional PDW superconducting phases that emerge from a microscopic model (with nearest neighbor attraction). With gapped and gapless bands in the Bogoliubov quasiparticle dispersion, this theory provides self-consistently determined wavevectors \(\mathbf{Q}\) for the spatially mod…

Defect-Mediated Pairing and Dissociation of Strongly Correlated Electrons in Low Dimensional Lattices: The Quantum Taxi Effect
Vincent Pouthier, Saad Yalouz
https://arxiv.org/abs/2506.12487

Defect-Mediated Pairing and Dissociation of Strongly Correlated Electrons in Low Dimensional Lattices: The Quantum Taxi Effect
We study the quantum dynamics of a strongly correlated electron pair in a one-dimensional lattice, focusing on the occurrence of local dissociation/pairing mechanisms induced by a site energy defect. To this end, we simulate the time evolution of two interacting electrons on a finite-size chain governed by an extended Hubbard Hamiltonian including on-site Coulomb repulsion $ U $ and nearest-neighbor interaction $V$, along with single-electron hopping $J$. By introducing a local site energy defe…

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