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Integer Linear Programming (ILP) can be seen as the archetypical problem for NP-complete optimization problems, and a wide range of problems in artificial intelligence are solved in practice via a translation to ILP. Despite its huge range…

Data Structures and Algorithms · Computer Science 2018-09-05 Robert Ganian , Sebastian Ordyniak

This paper gives an introduction to and overview of the functional quantum programming language QML. The syntax of this language is defined and explained, along with a new QML definition of the quantum teleport algorithm. The categorical…

Quantum Physics · Physics 2008-07-21 Jonathan Grattage

Refinement type checkers are a powerful way to reason about functional programs. For example, one can prove properties of a slow, specification implementation, porting the proofs to an optimized implementation that behaves the same. Without…

Programming Languages · Computer Science 2022-07-20 Niki Vazou , Michael Greenberg

Error syndromes for heavy hexagonal code and other topological codes such as surface code have typically been decoded by using Minimum Weight Perfect Matching (MWPM) based methods. Recent advances have shown that topological codes can be…

Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs. For these tasks, humans often start with a high-level algorithmic design and…

Computation and Language · Computer Science 2023-05-30 Eric Zelikman , Qian Huang , Gabriel Poesia , Noah D. Goodman , Nick Haber

The aim of this work is to develop a fast algorithm for approximating the matrix function $f(A)$ of a square matrix $A$ that is symmetric and has hierarchically semiseparable (HSS) structure. Appearing in a wide variety of applications,…

Numerical Analysis · Mathematics 2024-02-28 Angelo A. Casulli , Daniel Kressner , Leonardo Robol

The fact that Applicative type class allows one to express simple parsers in a variable-less combinatorial style is well appreciated among Haskell programmers for its conceptual simplicity, ease of use, and usefulness for semi-automated…

Programming Languages · Computer Science 2019-05-28 Jan Malakhovski , Sergei Soloviev

We introduce graded Hecke algebras H based on a (possibly disconnected) complex reductive group G and a cuspidal local system L on a unipotent orbit of a Levi subgroup M of G. These generalize the graded Hecke algebras defined and…

Representation Theory · Mathematics 2019-01-28 Anne-Marie Aubert , Ahmed Moussaoui , Maarten Solleveld

Haskell functions are defined as a series of clauses consisting of patterns that are matched against the arguments in the order of definition. In case an input is not matched by any of the clauses, an error occurs. Therefore it is desirable…

Programming Languages · Computer Science 2019-09-11 Pavel Kalvoda , Tom Sydney Kerckhove

We describe an efficient domain decomposition-based framework for nonlinear multiscale PDE problems. The framework is inspired by manifold learning techniques and exploits the tangent spaces spanned by the nearest neighbors to compress…

Numerical Analysis · Mathematics 2021-11-10 Shi Chen , Qin Li , Jianfeng Lu , Stephen J. Wright

What is Sequence Algebra? This is a question that any teacher or student of mathematics or computer science can engage with. Sequences are in Calculus, Combinatorics, Statistics and Computation. They are foundational, a step up from number…

Combinatorics · Mathematics 2019-03-01 Kieran Clenaghan

The level of abstraction at which application experts reason about linear algebra computations and the level of abstraction used by developers of high-performance numerical linear algebra libraries do not match. The former is conveniently…

Mathematical Software · Computer Science 2020-08-10 Henrik Barthels , Christos Psarras , Paolo Bientinesi

In this paper we propose and analyze a new Multiscale Method for solving semi-linear elliptic problems with heterogeneous and highly variable coefficient functions. For this purpose we construct a generalized finite element basis that spans…

Numerical Analysis · Mathematics 2019-02-20 Patrick Henning , Axel Malqvist , Daniel Peterseim

The impressive capabilities of large foundation models come at a cost of substantial computing resources to serve them. Compressing these pre-trained models is of practical interest as it can democratize deploying them to the machine…

Machine Learning · Statistics 2025-02-04 Mehdi Makni , Kayhan Behdin , Zheng Xu , Natalia Ponomareva , Rahul Mazumder

This paper addresses representational block named Hierarchical-Split Block, which can be taken as a plug-and-play block to upgrade existing convolutional neural networks, improves model performance significantly in a network.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-16 Pengcheng Yuan , Shufei Lin , Cheng Cui , Yuning Du , Ruoyu Guo , Dongliang He , Errui Ding , Shumin Han

For any reduced crystallographic root system, we introduce a unitary representation of the (extended) affine Hecke algebra given by discrete difference-reflection operators acting in a Hilbert space of complex functions on the weight…

Representation Theory · Mathematics 2012-09-17 J. F. van Diejen , E. Emsiz

We use the dual functional realization of loop algebras to study the prime irreducible objects in the Hernandez-Leclerc category for the quantum affine algebra associated to $\mathfrak{sl}_{n+1}$. When the HL category is realized as a…

Representation Theory · Mathematics 2025-05-21 Leon Barth , Deniz Kus

As a report of a teaching experience, we analyse Haskell programs computing two integer sequences: the Hamming sequence and the Ulam sequence. For both of them, we investigate two strategies of computation: the first is based on filtering…

Programming Languages · Computer Science 2018-08-02 Ivano Salvo , Agnese Pacifico

In this paper explicit decompositions are provided of the Weyl reflections in affine Lie algebras, in terms of fundamental Weyl reflections.

q-alg · Mathematics 2009-10-30 J. Rasmussen

This paper studies the use of kernel density estimation (KDE) for linear algebraic tasks involving the kernel matrix of a collection of $n$ data points in $\mathbb R^d$. In particular, we improve upon existing algorithms for computing the…

Data Structures and Algorithms · Computer Science 2026-03-05 Rikhav Shah , Sandeep Silwal , Haike Xu