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MMBPG and MMBPGe minimize an auxiliary function majorizing the Kullback--Leibler (KL) divergence loss by the existing Bregman proximal gradient algorithms.

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We discuss how the concept of equality is used by mathematicians (including Grothendieck), and what effect this has when trying to formalise mathematics.

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Exploiting Sign Symmetries in Minimizing Sums of Rational Functions

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This paper is devoted to the problem of minimizing a sum of rational functions over a basic semialgebraic set.

Optimization and Control 90C23, 90C22, 90C26

Flow updates for domain decomposition of entropic optimal transport

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In practice this can be avoided by a coarse-to-fine multiscale scheme.

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We classify all solution triples with Fibonacci components to the equation $a^2+b^2+c^2=3abc+m,$ for positive $m$.

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An optimization-based construction procedure for function space based summation-by-parts operators on arbitrary grids

phioeffn/SBP-Construction • 14 May 2024

We introduce a novel construction procedure for one-dimensional summation-by-parts (SBP) operators.

Numerical Analysis Numerical Analysis Optimization and Control 65M12, 65M60, 65M70, 65D25

Effective Front-Descent Algorithms with Convergence Guarantees

pierlumanzu/fd_framework • 14 May 2024

In this manuscript, we address continuous unconstrained optimization problems and we discuss descent type methods for the reconstruction of the Pareto set.

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A Riemannian Proximal Newton-CG Method

wutauopt/RPN-CG • 14 May 2024

The existing remedy relies on a hybrid approach: running a Riemannian proximal gradient method until the iterate is sufficiently accurate and switching to the Riemannian proximal Newton method.

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Global weight optimization of frame structures under free-vibration eigenvalue constraints

tyburec/pof-dyna • 14 May 2024

Moreover, we show how to construct lower and upper bounds for each level of the Lasserre hierarchy.

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In addition to these capabilities, the active strategy can also hide sources of particles, at the cost of prior knowledge of the expected net particle charges in the reference graph.

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The algorithm takes as input a set of discrete probability distributions describing vote totals for each candidate ranking and calculates the probability that each candidate will win the election.

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Detecting failures and identifying their root causes promptly and accurately is crucial for ensuring the availability of microservice systems.

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The discovery of linear embedding is the key to the synthesis of linear control techniques for nonlinear systems.

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Linguistic steganography provides convenient implementation to hide messages, particularly with the emergence of AI generation technology.

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This paper presents IPC, acronym for Incremental Probabilistic Consensus, a method that approximates the solution to the combinatorial problem of finding the maximally consistent set of measurements in an incremental fashion.

Reasoning about Interior Mutability in Rust using Library-Defined Capabilities

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Existing automated verification techniques for safe Rust code rely on the strong type-system properties to reason about programs, especially to deduce which memory locations do not change (i. e., are framed) across function calls.

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The simple structure of an AIT provides flexible extensions: (i) its time and space complexities respectively become $O(\log^{2} n + s)$ expected and $O(n)$ by bucketing intervals and (ii) it can deal with weighted intervals and outputs $s$ weighted random samples in $O(\log^{2} n+s\log n)$ time.

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Stablecoins - crypto tokens whose value is pegged to a real-world asset such as the US Dollar - are an important component of the DeFi ecosystem as they mitigate the impact of token price volatility.

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While third-party cookies have been a key component of the digital marketing ecosystem for years, they allow users to be tracked across web sites in ways that raise serious privacy concerns.

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  • Published: 14 May 2024

2023 summer warmth unparalleled over the past 2,000 years

  • Jan Esper   ORCID: orcid.org/0000-0003-3919-014X 1 , 2 ,
  • Max Torbenson   ORCID: orcid.org/0000-0003-2720-2238 1 &
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  • Climate change
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Including an exceptionally warm Northern Hemisphere (NH) summer 1 ,2 , 2023 has been reported as the hottest year on record 3-5 . Contextualizing recent anthropogenic warming against past natural variability is nontrivial, however, because the sparse 19 th century meteorological records tend to be too warm 6 . Here, we combine observed and reconstructed June-August (JJA) surface air temperatures to show that 2023 was the warmest NH extra-tropical summer over the past 2000 years exceeding the 95% confidence range of natural climate variability by more than half a degree Celsius. Comparison of the 2023 JJA warming against the coldest reconstructed summer in 536 CE reveals a maximum range of pre-Anthropocene-to-2023 temperatures of 3.93°C. Although 2023 is consistent with a greenhouse gases-induced warming trend 7 that is amplified by an unfolding El Niño event 8 , this extreme emphasizes the urgency to implement international agreements for carbon emission reduction.

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Department of Geography, Johannes Gutenberg University, Mainz, Germany

Jan Esper & Max Torbenson

Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic

Jan Esper & Ulf Büntgen

Department of Geography, University of Cambridge, Cambridge, United Kingdom

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Esper, J., Torbenson, M. & Büntgen, U. 2023 summer warmth unparalleled over the past 2,000 years. Nature (2024). https://doi.org/10.1038/s41586-024-07512-y

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Published : 14 May 2024

DOI : https://doi.org/10.1038/s41586-024-07512-y

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