Tootfinder

2021 retro-link! https://lemire.me/blog/2021/03/24/counting-cycles-and-instructions-on-the-apple-m1-processor/ - Counting cycles and instructions on the Apple M1 processor.

#30DaysOfBiking, Day 14: Met with @… at the #Schluchsee concrete dam. After having a drink there, he walked and I cycled slowly (5km/h) beside him half around …

„Die Klimaziele, die im Klimaschutzgesetz von 2019 festgeschrieben wurden, seien im Verkehrssektor nicht anders als mit "rabiaten Maßnahmen" zu erreichen.“ Selten lag ein #Wissing so richtig.
Jahrzehnte halbseidener Verkehrsminister aus Kürzelparteien sei dank.
Quelle:

This https://arxiv.org/abs/2209.10858 has been replaced.
link: https://scholar.google.com/scholar?q=a

Normal integral bases of Lehmer's cyclic quintic fields
Let $K_n$ be a tamely ramified cyclic quintic field generated by a root of Emma Lehmer's parametric polynomial. We give all normal integral bases for $K_n$ only by the roots of the polynomial, which is a generalization of the work of Lehmer in the case that $n^4+5n^3+15n^2+25n+25$ is prime number, and Spearman-Willliams in the case that $n^4+5n^3+15n^2+25n+25$ is square-free.

This https://arxiv.org/abs/2403.07170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Cyclical Long Memory: Decoupling, Modulation, and Modeling
A new model for general cyclical long memory is introduced, by means of random modulation of certain bivariate long memory time series. This construction essentially decouples the two key features of cyclical long memory: quasi-periodicity and long-term persistence. It further allows for a general cyclical phase in cyclical long memory time series. Several choices for suitable bivariate long memory series are discussed, including a parametric fractionally integrated vector ARMA model. The param…

This https://arxiv.org/abs/2011.03619 has been replaced.
link: https://scholar.google.com/scholar?q=a

Algorithmic Extensions of Dirac's Theorem
In 1952, Dirac proved the following theorem about long cycles in graphs with large minimum vertex degrees: Every $n$-vertex $2$-connected graph $G$ with minimum vertex degree $δ\geq 2$ contains a cycle with at least $\min\{2δ,n\}$ vertices. In particular, if $δ\geq n/2$, then $G$ is Hamiltonian. The proof of Dirac's theorem is constructive, and it yields an algorithm computing the corresponding cycle in polynomial time. The combinatorial bound of Dirac's theorem is tight in the following sen…

Aaand #blender #cycles on #arc #oneapi is broken again :/

This https://arxiv.org/abs/2403.07170 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Cyclical Long Memory: Decoupling, Modulation, and Modeling
A new model for general cyclical long memory is introduced, by means of random modulation of certain bivariate long memory time series. This construction essentially decouples the two key features of cyclical long memory: quasi-periodicity and long-term persistence. It further allows for a general cyclical phase in cyclical long memory time series. Several choices for suitable bivariate long memory series are discussed, including a parametric fractionally integrated vector ARMA model. The param…

This https://arxiv.org/abs/2403.01500 has been replaced.
link: https://scholar.google.com/scholar?q=a

On the adjoint Selmer groups of semi-stable elliptic curves and Flach's zeta elements
We explicitly construct the rank one primitive Stark (equivalently, Kolyvagin) system extending a constant multiple of Flach's zeta elements for semi-stable elliptic curves. As its arithmetic applications, we obtain the equivalence between a specific behavior of the Stark system and the minimal modularity lifting theorem, and we also discuss the cyclicity of the adjoint Selmer groups. This Stark system construction yields a more refined interpretation of the collection of Flach's zeta elements …

Cyclical Long Memory: Decoupling, Modulation, and Modeling
Stefanos Kechagias, Vladas Pipiras, Pavlos Zoubouloglou
https://arxiv.org/abs/2403.07170 https:/…

Cyclical Long Memory: Decoupling, Modulation, and Modeling
A new model for general cyclical long memory is introduced, by means of random modulation of certain bivariate long memory time series. This construction essentially decouples the two key features of cyclical long memory: quasi-periodicity and long-term persistence. It further allows for a general cyclical phase in cyclical long memory time series. Several choices for suitable bivariate long memory series are discussed, including a parametric fractionally integrated vector ARMA model. The param…