dxo: A System for Relational Algebra and Differentiation
August 08, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Julie Steele, William Byrd
arXiv ID
2008.03441
Category
cs.PL: Programming Languages
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present dxo, a relational system for algebra and differentiation, written in miniKanren. dxo operates over math expressions, represented as s-expressions. dxo supports addition, multiplication, exponentiation, variables (represented as tagged symbols), and natural numbers (represented as little-endian binary lists). We show the full code for dxo, and describe in detail the four main relations that compose dxo. We present example problems dxo can solve by combining the main relations. Our differentiation relation, do, can differentiate polynomials, and by running backwards, can also integrate. Similarly, our simplification relation, simpo, can simplify expressions that include addition, multiplication, exponentiation, variables, and natural numbers, and by running backwards, can complicate any expression in simplified form. Our evaluation relation, evalo, takes the same types of expressions as simpo, along with an environment associating variables with natural numbers. By evaluating the expression with respect to the environment, evalo can produce a natural number; by running backwards, evalo can generate expressions (or the associated environments) that evaluate to a given value. reordero also takes the same types of expressions as simpo, and relates reordered expressions.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Programming Languages
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
R.I.P.
π»
Ghosted
Glow: Graph Lowering Compiler Techniques for Neural Networks
R.I.P.
π»
Ghosted
Learnable Programming: Blocks and Beyond
R.I.P.
π»
Ghosted
Scenic: A Language for Scenario Specification and Scene Generation
R.I.P.
π»
Ghosted
Vandal: A Scalable Security Analysis Framework for Smart Contracts
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted