polynomial
taicheng_-_zephyr-7b-align-scan-0.0-0.0-polynomial-2-gguftaicheng_-_zephyr-7b-align-scan-0.0-0.3-polynomial-3-gguftaicheng_-_zephyr-7b-align-scan-0.0-0.4-polynomial-2-gguftaicheng_-_zephyr-7b-align-scan-2e-07-0.39-polynomial-1.0-gguftaicheng_-_zephyr-7b-align-scan-0.0-0.0-polynomial-1-gguftaicheng_-_zephyr-7b-align-scan-0.0-0.9-polynomial-3-gguftaicheng_-_zephyr-7b-align-scan-0.0-0.2-polynomial-3-gguftaicheng_-_zephyr-7b-align-scan-0.0-0.0-polynomial-3-gguf
upper-hessenberg-polynomialspolynomial-root-finding-dataset
Polynomial Root Finding Dataset (With Out-of-Distribution Gaps)
Dataset Description
This dataset provides a massive, synthetically generated collection of polynomial equations (ranging from degrees 1 to 4) alongside their real roots. It is explicitly designed for benchmarking Machine Learning models (such as Transformers or Mixture Density Networks) on mathematical reasoning, continuous numerical embeddings, and rigorous Out-of-Distribution (OoD) generalization.
The… See the full description on the dataset page: https://huggingface.co/datasets/karankhatavkar/polynomial-root-finding-dataset.lab1_EDAN20polynomial-fit-dataunstructured-characteristic-polynomialsschubert_polynomial_structure_constants_4
A Combinatorial Interpretation of Schubert Polynomial Structure Constants
Schubert polynomials [1,2,3] are a family of polynomials indexed by permutations of SnS_nSn.
Developed to study the cohomology ring of the flag variety, they have deep connections to
algebraic geometry, Lie theory, and representation theory. Despite their geometric origins,
Schubert polynomials can be described combinatorially [4,5], making them a well-studied object
in algebraic combinatorics. An… See the full description on the dataset page: https://huggingface.co/datasets/ACDRepo/schubert_polynomial_structure_constants_4.