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20 results for “Multidimensional”

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math.COcs.DMmath.CTTheoreticalRecentJul 9, 2026

Subword representations and weak hypercube dimension for acyclic categories

Isaac Carcacía-Campos

This paper introduces a new way to represent finite posets as subwords of finite words in categories, and characterizes the monic categories that admit this representation.

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cs.DScs.CGcs.LGTheoreticalRecentJul 3, 2026

Dimension Reduction for Curves: Simplified and Generalized

Matthijs Ebbens, Jie Lu, Alexander Munteanu

This paper simplifies the proof of the bound on the target dimension for reducing the dimension of high-dimensional polygonal curves using random projections, extending it to various distance measures…

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cs.DScs.IRTheoreticalRecentJun 22, 2026

Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings

Rajesh Jayaram

This paper proves that single-vector embeddings require a larger representation size than multi-vector embeddings to approximate certain similarities.

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cs.DMTheoreticalRecentJun 11, 2026

Snake Polyominoes of Maximal Area in a Rectangle

Alexandre Blondin Massé, Alain Goupil

This paper presents an algorithm to generate snake-like polyominoes within a given rectangle and provides exact formulas for the maximal area of such polyominoes for certain dimensions.

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cs.DMTheoreticalRecentJun 11, 2026

Fibonacci and Catalan Numbers Meet in Staircase Polyominoes

Jean-Luc Baril, José Luis Ramírez, Samuel Ramírez, Diego Villamizar

This paper derives multivariate generating functions to refine the enumeration of Fibonacci polyominoes.

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cs.MScs.DCmath.NAEmpiricalRecentJun 18, 2026

Multiword Arithmetic and Parallel Computing

Jan Verschelde

This paper presents multiword arithmetic, a type of multiprecision arithmetic that uses parallel computing to improve efficiency and accuracy, and provides code implementation in PHCpack.

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cs.LGRecentJun 1, 2026

Riemannian Gradient Descent for Low-Rank Architectures

Nicholas Knight

The paper investigates applying Riemannian optimization techniques to low-rank matrix parameters for deep learning, but finds that the proposed methods do not conclusively outperform the AdamW baselin…

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math.COcs.DMmath.NTTheoreticalRecentJul 8, 2026

Small Matrices with Large Inverses: Unimodular $4 \times 4$ Cases

Steven Finch

This paper investigates the closeness of singularity for $n imes n$ unimodular matrices, specifically for $(2k+1)$-ary and $(k+1)$-ary cases of $4 imes 4$ nonnegative unimodular matrices.

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cs.CGcs.NEmath.NATheoreticalRecentJun 29, 2026

Computing the Integral R2 Indicator by Perspective Mapping and Box Decomposition

Michael T. M. Emmerich

This paper presents a bidirectional perspective mapping between continuous integral R2 computation and integration over unions of anchored axis-aligned boxes, enabling the reuse of hypervolume algorit…

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cs.CVRecentJun 1, 2026

From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data

Yuming Zhao, Junhui Hou, Qijian Zhang, Jia Qin +1 more

The paper introduces PRISM, a novel representation learning framework that learns isometric embeddings by explicitly modeling the intrinsic geodesic metric of 3D surfaces, achieving superior performan…

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cs.PLcs.CCcs.FLRecentMay 30, 2026

Grid Programs: A Two-Dimensional, Variable-Free Model of Computation

Ezequiel López-Rubio

The paper introduces Grid Programs, a novel, Turing-complete model of computation where programs are two-dimensional arrangements of instructions, fundamentally departing from linear code structures.

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cs.FLcs.CCTheoreticalRecentJun 30, 2026

Complexity of Universality and Related Decision Problems for Unary Two-Dimensional Automata

Taylor J. Smith

This paper studies the decidability and complexity properties of unary three-way and two-way deterministic and nondeterministic two-dimensional automata.

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cs.CRcs.CVRecentMay 7, 2026

Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles

Enoal Gesny, Eva Giboulot

The paper introduces a theoretically grounded evaluation framework for watermarking generative models, proposing a novel method (SSB) that allows for systematic design across all security-robustness-f…

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cs.DScs.CRmath.NTRecentMay 17, 2026

Module Lattice Security (Part III): Structured CVP Distance on the Log-Unit Lattice

Ming-Xing Luo

The paper analyzes the structured CVP distance on the log-unit lattice of cyclotomic fields, significantly reducing the conjectured CDPR factor for the ML-KEM cryptosystem from exponential to sub-poly…

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cs.CCTheoreticalRecentJun 23, 2026

The 2D Ray Tracing Problem using ABCD Lenses and Mirrors is Turing Complete

Rosemary U. Adejoh, Andreas Jakoby, Sneha Mohanty, Christian Schindelhauer

The authors prove that two-dimensional ray tracing with thin lenses and plane mirrors using the ABCD model is Turing-complete.

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