Zobrazeno 1 - 10
of 13 216
pro vyhledávání: '"A P Watt"'
Autor:
Kang, Zi Yang, Watt, Mitchell
This paper develops a model of in-kind redistribution where consumers participate in either a private market or a government-designed program, but not both. We characterize when a social planner, seeking to maximize weighted total surplus, can strict
Externí odkaz:
http://arxiv.org/abs/2409.06112
Autor:
Kalhan, Deepak Singh, Watt, Stephen M.
Considering digital ink as plane curves provides a valuable framework for various applications, including signature verification, note-taking, and mathematical handwriting recognition. These plane curves can be obtained as parameterized pairs of appr
Externí odkaz:
http://arxiv.org/abs/2408.02135
Autor:
Jeffrey, David J., Watt, Stephen M.
A Maple implementation of partitioned matrices is described. A recursive block data structure is used, with all operations preserving the block abstraction. These include constructor functions, ring operations such as addition and product, and invers
Externí odkaz:
http://arxiv.org/abs/2408.02112
Two methods to analyse radial diffusion ensembles: the peril of space- and time- dependent diffusion
Particle dynamics in Earth's outer radiation belt can be modelled using a diffusion framework, where large-scale electron movements are captured by a diffusion equation across a single adiabatic invariant, $L^{*}$ $``(L)"$. While ensemble models are
Externí odkaz:
http://arxiv.org/abs/2407.04669
Autor:
Norman, Arthur C., Watt, Stephen M.
Sometimes only some digits of a numerical product or some terms of a polynomial or series product are required. Frequently these constitute the most significant or least significant part of the value, for example when computing initial values or refi
Externí odkaz:
http://arxiv.org/abs/2407.04133
Data-driven deep learning models are on the verge of transforming global weather forecasting. It is an open question if this success can extend to climate modeling, where long inference rollouts and data complexity pose significant challenges. Here,
Externí odkaz:
http://arxiv.org/abs/2406.14798
Autor:
Norman, Arthur C., Watt, Stephen M.
Symbolic mathematical computing systems have served as a canary in the coal mine of software systems for more than sixty years. They have introduced or have been early adopters of programming language ideas such ideas as dynamic memory management, ar
Externí odkaz:
http://arxiv.org/abs/2406.09085
Autor:
Ion, Patrick D. F., Watt, Stephen M.
In this article we report on an initial exploration to assess the viability of using the general large language models (LLMs), recently made public, to classify mathematical documents. Automated classification would be useful from the applied perspec
Externí odkaz:
http://arxiv.org/abs/2406.10274
Autor:
Oancea, Cosmin E., Watt, Stephen M.
This paper explores practical aspects of using a high-level functional language for GPU-based arithmetic on ``midsize'' integers. By this we mean integers of up to about a quarter million bits, which is sufficient for most practical purposes. The goa
Externí odkaz:
http://arxiv.org/abs/2405.14642
Autor:
Khan, Awais Hameed, Kegalle, Hiruni, D'Silva, Rhea, Watt, Ned, Whelan-Shamy, Daniel, Ghahremanlou, Lida, Magee, Liam
Publikováno v:
Microsoft Journal for Applied Research, Vol 21 (2024), pp 69 - 87
Large Language Models (LLMs) are promising analytical tools. They can augment human epistemic, cognitive and reasoning abilities, and support 'sensemaking', making sense of a complex environment or subject by analysing large volumes of data with a se
Externí odkaz:
http://arxiv.org/abs/2405.06919