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Computer systems are so complex, so they are usually designed and analyzed in terms of layers of abstraction. Complexity is still a challenge facing logical reasoning tools that are used to find software design flaws and implementation…

Software Engineering · Computer Science 2021-06-18 Ramy Shahin

The Geometric Algebra Transformer (GATr) is a versatile architecture for geometric deep learning based on projective geometric algebra. We generalize this architecture into a blueprint that allows one to construct a scalable transformer…

Machine Learning · Computer Science 2024-03-15 Pim de Haan , Taco Cohen , Johann Brehmer

We introduce Graphical Algebraic Geometry (GAG), a family of diagrammatic languages extending the Graphical Linear Algebra programme. We construct several languages within this family and prove that they are universal and complete for the…

Quantum Physics · Physics 2026-05-15 Dichuan Gao , Razin A. Shaikh , Aleks Kissinger

In this Master of Science Thesis I introduce geometric algebra both from the traditional geometric setting of vector spaces, and also from a more combinatorial view which simplifies common relations and operations. This view enables us to…

Rings and Algebras · Mathematics 2008-11-07 Douglas Lundholm

The Gisela framework for declarative programming was developed with the specific aim of providing a tool that would be useful for knowledge representation and reasoning within real-world applications. To achieve this, a complete integration…

Software Engineering · Computer Science 2007-05-23 Goran Falkman , Olof Torgersson

Real algebraic geometry adapts the methods and ideas from (complex) algebraic geometry to study the real solutions to systems of polynomial equations and polynomial inequalities. As it is the real solutions to such systems modeling…

Algebraic Geometry · Mathematics 2016-06-13 Frank Sottile

We introduce the notion of a robust parameterized arithmetic circuit for the evaluation of algebraic families of multivariate polynomials. Based on this notion, we present a computation model, adapted to Scientific Computing, which captures…

Computational Complexity · Computer Science 2012-04-26 Joos Heintz , Bart Kuijpers , Andres Rojas Paredes

Studies on time and memory costs of products in geometric algebra have been limited to cases where multivectors with multiple grades have only non-zero elements. This allows to design efficient algorithms for a generic purpose; however, it…

Data Structures and Algorithms · Computer Science 2020-02-27 Stephane Breuils , Vincent Nozick , Akihiro Sugimoto

We show that if PGA is understood as a subalgebra of CGA in mathematically correct sense, then the flat objects share the same representation in PGA and CGA. Particularly, we treat duality in PGA. This leads to unification of PGA and CGA…

Algebraic Geometry · Mathematics 2020-05-05 Ales Navrat , Jaroslav Hrdina , Petr Vasik , Leo Dorst

Formalism based on GA is an alternative to distributed representation models developed so far --- Smolensky's tensor product, Holographic Reduced Representations (HRR) and Binary Spatter Code (BSC). Convolutions are replaced by geometric…

Artificial Intelligence · Computer Science 2015-05-18 Agnieszka Patyk

Mathematical educational soft explore, investigating in a dynamical way, some algebraically, geometrically problems, the expected results being used to involve a lot of mathematical results. One such software soft is GeoGebra. The software…

Mathematical Software · Computer Science 2009-05-28 Valerian Antohe

We present the SLIM (https://github.com/slimgroup) open-source software framework for computational geophysics, and more generally, inverse problems based on the wave-equation (e.g., medical ultrasound). We developed a software environment…

This is the first paper in a series of eight where in the first three we develop a systematic approach to the geometric algebras of multivectors and extensors, followed by five papers where those algebraic concepts are used in a novel…

Differential Geometry · Mathematics 2007-05-23 A. M. Moya , V. V. Fernandez , W. A. Rodrigues

Quantum algorithms are sequences of abstract operations, performed on non-existent computers. They are in obvious need of categorical semantics. We present some steps in this direction, following earlier contributions of Abramsky, Coecke…

Quantum Physics · Physics 2016-11-09 Dusko Pavlovic

The expanding hardware diversity in high performance computing adds enormous complexity to scientific software development. Developers who aim to write maintainable software have two options: 1) To use a so-called data locality abstraction…

Software Engineering · Computer Science 2023-11-10 Andreas Hadjigeorgiou , Christodoulos Stylianou , Michele Weiland , Dirk Jacob Verschuur , Jacob Finkenrath

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…

Symbolic Computation · Computer Science 2024-06-14 Arthur C. Norman , Stephen M. Watt

Abstraction is a fundamental tool for reasoning about complex systems. Program abstraction has been utilized to great effect for analyzing deterministic programs. At the heart of program abstraction is the relationship between a concrete…

Artificial Intelligence · Computer Science 2017-07-17 Steven Holtzen , Todd Millstein , Guy Van den Broeck

Geometric algebra is the natural outgrowth of the concept of a vector and the addition of vectors. After reviewing the properties of the addition of vectors, a multiplication of vectors is introduced in such a way that it encodes the famous…

General Mathematics · Mathematics 2018-02-23 Sergio Ramos Ramirez , Jose Alfonso Juarez Gonzalez , Garret Sobczyk

computable functions are defined by abstract finite deterministic algorithms on many-sorted algebras. We show that there exist finite universal algebraic specifications that specify uniquely (up to isomorphism) (i) all abstract computable…

Logic in Computer Science · Computer Science 2007-05-23 J. V. Tucker , J. I. Zucker

This book gives a thorough introduction to topological data analysis (TDA), the application of algebraic topology to data science. Algebraic topology is traditionally a very specialized field of math, and most mathematicians have never been…

Algebraic Topology · Mathematics 2024-12-30 Michael S. Postol