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Over the years, integer linear programs have been employed to model inference in many natural language processing problems. This survey is meant to guide the reader through the process of framing a new inference problem as an instance of an…

Artificial Intelligence · Computer Science 2023-07-04 Vivek Srikumar , Dan Roth

We give a rather informal introduction to the theory of mixed Hodge modules for young mathematicians.

Algebraic Geometry · Mathematics 2016-06-29 Morihiko Saito

Hilbert order is widely applied in many areas. However, most of the algorithms are confined to low dimensional cases. In this paper, algorithms for encoding and decoding arbitrary dimensional Hilbert order are presented. Eight algorithms…

Symbolic Computation · Computer Science 2016-01-07 Hui Liu , Tao Cui , Wei Leng , Linbo Zhang

Denotational models should provide an opportunity for the revision of current practices seen in the manuals of programming languages. New styles should on one hand base on denotational models but on the other - do not assume that today…

Programming Languages · Computer Science 2019-05-30 Andrzej Blikle

This introduction to Haskell is written to optimize learning by programmers who already know OCaml.

Programming Languages · Computer Science 2014-07-22 Raphael Poss

This paper provides the description of a novel, multi-purpose spline library. In accordance with the increasingly diverse modes of usage of splines, it is multi-purpose in the sense that it supports geometry representation, finite element…

Mathematical Software · Computer Science 2020-02-28 Markus Frings , Norbert Hosters , Corinna Müller , Max Spahn , Christoph Susen , Konstantin Key , Stefanie Elgeti

The main purpose of this paper is to propose five programs in C++ for matrix computations and solving recurrent equations systems with entries in max plus algebra.

Mathematical Software · Computer Science 2012-05-21 Mihai Ivan , Gheorghe Ivan

An informal guide to the history of Heisenberg's matrix mechanics. It is designed for mathematicians with only a minimal background in either physics or geometry, and it is based upon Heisenberg's original arguments.

Mathematical Physics · Physics 2007-05-23 Edward G. Effros

This book introduces the mathematical foundations and techniques that lead to the development and analysis of many of the algorithms that are used in machine learning. It starts with an introductory chapter that describes notation used…

Machine Learning · Statistics 2025-05-15 Laurent Younes

This technical report presents the implementation of a Network Coding module in WSNet - a Wireless Sensor Network simulator. This implementation provides a generic programming interface to allow an easy specialization of different coding…

Networking and Internet Architecture · Computer Science 2011-03-10 Wei Liang Choo , Frédéric Le Mouël , Katia Jaffrès-Runser , Marco Fiore

In this paper, ellipsoid method for linear programming is derived using only minimal knowledge of algebra and matrices. Unfortunately, most authors first describe the algorithm, then later prove its correctness, which requires a good…

Data Structures and Algorithms · Computer Science 2017-12-14 Sanjeev Saxena

In this paper we will discuss problems and techniques related to underactuated systems. We give a mathematical formulation of several problems arising from applications, review some standard and new techniques, and pose some interesting and…

Optimization and Control · Mathematics 2007-05-23 David Auckly , Lev Kapitanski

Automated debugging, long pursued in a variety of fields from software engineering to cybersecurity, requires a framework that offers the building blocks for a programmable debugging workflow. However, existing debuggers are primarily…

Software Engineering · Computer Science 2025-06-06 Gabriele Digregorio , Roberto Alessandro Bertolini , Francesco Panebianco , Mario Polino

We present Integer Linear Programming (ILP) Modulo Theories (IMT). An IMT instance is an Integer Linear Programming instance, where some symbols have interpretations in background theories. In previous work, the IMT approach has been…

Logic in Computer Science · Computer Science 2013-04-09 Panagiotis Manolios , Vasilis Papavasileiou

Quantum error correction protocols will play a central role in the realisation of quantum computing; the choice of error correction code will influence the full quantum computing stack, from the layout of qubits at the physical level to…

Quantum Physics · Physics 2019-10-14 Joschka Roffe

This paper introduces libconform v0.1.0, a Python library for the conformal prediction framework, licensed under the MIT-license. libconform is not yet stable. This paper describes the main algorithms implemented and documents the API of…

Machine Learning · Computer Science 2019-07-04 Jonas Fassbender

Projects on GitHub rely on the automation provided by software development bots to uphold quality and alleviate developers' workload. Nevertheless, the presence of bots can be annoying and disruptive to the community. Backed by multiple…

Software Engineering · Computer Science 2024-03-06 Mairieli Wessel , Andy Zaidman , Marco Gerosa , Igor Steinmacher

This paper documents Int2Int, an open source code base for using transformers on problems of mathematical research, with a focus on number theory and other problems involving integers. Int2Int is a complete PyTorch implementation of a…

Machine Learning · Computer Science 2025-03-26 François Charton

Conjure is an automated modelling tool for Constraint Programming. In this documentation, you will find the following: A brief introduction to Conjure, installation instructions, a description of how to use Conjure through its command line…

Other Computer Science · Computer Science 2019-10-09 Özgür Akgün , András Salamon

This short note presents the Lambert W(x) function and its possible application in the framework of physics related to the Pierre Auger Observatory. The actual numerical implementation in C++ consists of Halley's and Fritsch's iteration…

Mathematical Software · Computer Science 2018-01-09 Darko Veberic
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