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@arXiv_mathAG_bot@mastoxiv.page
2025-07-23 08:53:02

Intersection cohomology of Vinberg-Popov varieties
Andrew Dancer, Johan Martens, Nicholas Proudfoot
arxiv.org/abs/2507.16492

Intersection cohomology of Vinberg-Popov varieties
The Vinberg-Popov variety of a simply connected reductive algebraic group $G$ is a singular affine variety that contains the basic affine space $G/U$ as a Zariski open subset. It is defined as the spectrum of the ring of functions on $G/U$, and can also be identified with the universal symplectic implosion for the maximal compact subgroup of $G$. We provide a recursive procedure for computing the intersection cohomology of this variety, with an emphasis on the case where $G = \operatorname{SL}_…

@arXiv_astrophEP_bot@mastoxiv.page
2025-06-24 08:50:20

Planet formation in chemically diverse and evolving discs -- I. Composition of planetary building blocks
E. Pacetti, E. Schisano, D. Turrini, C. P. Dullemond, S. Molinari, C. Walsh, S. Fonte, U. Lebreuilly, R. S. Klessen, P. Hennebelle, S. L. Ivanovski, R. Politi, D. Polychroni, P. Simonetti, L. Testi
arxiv.org/abs/2506.…

Planet formation in chemically diverse and evolving discs -- I. Composition of planetary building blocks
Protoplanetary discs are dynamic environments where the interplay between chemical processes and mass transport shapes the composition of gas and dust available for planet formation. We investigate the combined effects of volatile chemistry - including both gas-phase and surface reactions - viscous gas evolution, and radial dust drift on the composition of planetary building blocks. We explore scenarios of chemical inheritance and reset under varying ionisation conditions and for various dust g…

@arXiv_qfinPM_bot@mastoxiv.page
2025-08-19 08:45:20

Optimal Portfolio Construction -- A Reinforcement Learning Embedded Bayesian Hierarchical Risk Parity (RL-BHRP) Approach
Shaofeng Kang, Zeying Tian
arxiv.org/abs/2508.11856

Optimal Portfolio Construction -- A Reinforcement Learning Embedded Bayesian Hierarchical Risk Parity (RL-BHRP) Approach
We propose a two-level, learning-based portfolio method (RL-BHRP) that spreads risk across sectors and stocks, and adjusts exposures as market conditions change. Using U.S. Equities from 2012 to mid-2025, we design the model using 2012 to 2019 data, and evaluate it out-of-sample from 2020 to 2025 against a sector index built from exchange-traded funds and a static risk-balanced portfolio. Over the test window, the adaptive portfolio compounds wealth by approximately 120 percent, compared with 1…

@dawid@social.craftknight.com
2025-07-12 13:41:02
@… W pracy mam Copilot, prywatnie używam Cursor - naprawdę różnica jest marginalna używając agent mode i tych samych modeli.

Raz, że to samo UI - praktycznie przenoszę konfiguracje pomiędzy jednym i drugim. Dwa chyba startowe prompty muszą być podobne, bo rezultaty też te same i tak naprawdę najwięcej zależy od predefiniowanych i…
@arXiv_mathOC_bot@mastoxiv.page
2025-08-11 09:28:09

Computational Methods and Verification Theorem for Portfolio-Consumption Optimization under Exponential O-U Dynamics
Zhaoxiang Zhong, Haiming Song
arxiv.org/abs/2508.06491

Computational Methods and Verification Theorem for Portfolio-Consumption Optimization under Exponential O-U Dynamics
In this paper, we focus on the problem of optimal portfolio-consumption policies in a multi-asset financial market, where the n risky assets follow Exponential Ornstein-Uhlenbeck processes, along with one risk-free bond. The investor's preferences are modeled using Constant Relative Risk Aversion utility with state-dependent stochastic discounting. The problem can be formulated as a high-dimensional stochastic optimal control problem, wherein the associated value function satisfies a Hamilton-J…

@roelgrif@mstdn.social
2025-08-13 19:31:10

Wat een laffe dweil.
Claudia van Zanten (Boeren Bedrog Beweging), in Trouw vandaag.

Heeft u kritiek op Israël? “Nogmaals ik ben geen fan van Netanyahu, maar wij bekijken alles wat daar gebeurt door onze eigen bril.” Ja, dat geldt voor alles. “Maar bij buitenlandse conflicten is dat niet altijd verstandig. Ik ben geen arabist of Midden-Oostendeskundige, en als Kamerlid zit Buitenlandse Zaken niet in mijn portefeuille. Ik vind het te simpel om uitspraken te doen over wat daar gebeurt.” De Israëlische defensieminister Yisrael Katz wil binnen twee maanden 600.000 Gazanen bijee…
@arXiv_condmatsoft_bot@mastoxiv.page
2025-08-19 09:03:29

Granular focused jet
Kazuya U. Kobayashi, Pradipto, Yoshiyuki Tagawa
arxiv.org/abs/2508.11905 arxiv.org/pdf/2508.11905

Granular focused jet
We investigated the formation of granular focused jets defined as narrow upward ejections of grains triggered by impulsive forces and shaped by kinematic focusing on a concave free surface. The jets were generated from nonfluidized granular beds, in contrast to existing granular Worthington jets that originate from fluidized layers. To elucidate the jet dynamics, we performed experiments in which a test tube partially filled with dry glass beads was dropped onto a flat rigid floor, systematical…

@fanf@mendeddrum.org
2025-07-08 08:42:04

from my link log —
Taichi: high-performance parallel programming in Python.
taichi-lang.org/
saved 2025-02-15 dot…

Taichi Lang: High-performance Parallel Programming in Python
Taichi is a domain-specific language embedded in Python that helps you easily write portable, high-performance parallel programs.

@arXiv_csDC_bot@mastoxiv.page
2025-08-08 09:01:22

Theseus: A Distributed and Scalable GPU-Accelerated Query Processing Platform Optimized for Efficient Data Movement
Felipe Arambur\'u, William Malpica, Kaouther Abrougui, Amin Aramoon, Romulo Auccapuclla, Claude Brisson, Matthijs Brobbel, Colby Farrell, Pradeep Garigipati, Joost Hoozemans, Supun Kamburugamuve, Akhil Nair, Alexander Ocsa, Johan Peltenburg, Rub\'en Quesada L\'opez, Deepak Sihag, Ahmet Uyar, Dhruv Vats, Michael Wendt, Jignesh M. Patel, Rodrigo Arambur\'u

Theseus: A Distributed and Scalable GPU-Accelerated Query Processing Platform Optimized for Efficient Data Movement
Online analytical processing of queries on datasets in the many-terabyte range is only possible with costly distributed computing systems. To decrease the cost and increase the throughput, systems can leverage accelerators such as GPUs, which are now ubiquitous in the compute infrastructure. This introduces many challenges, the majority of which are related to when, where, and how to best move data around the system. We present Theseus -- a production-ready enterprise-scale distributed accelera…

@arXiv_astrophEP_bot@mastoxiv.page
2025-06-13 09:30:30

Self-gravity in thin protoplanetary discs: 1. The smoothing-length approximation versus the exact self-gravity kernel
S. Rendon Restrepo, T. Rometsch, U. Ziegler, O. Gressel
arxiv.org/abs/2506.10812

Self-gravity in thin protoplanetary discs: 1. The smoothing-length approximation versus the exact self-gravity kernel
Planet-forming discs often contain structures like spiral arms, typically linked to the disc's gravitational forces. In 2D models, an ad hoc softening prescription is commonly used for self-gravity, but this overlooks the vertical structure's impact, suppresses the Newtonian nature of gravity at short distances and doesn't respect Newton's third law. To address these issues, associated with a Plummer potential approximation, we developed an exact self-gravity kernel for thin, hydrostatically …