Все публикации

0:51:23

review of first steps, polynomials and expression, an introduction to symbolic computation

0:43:29

Normalizing Expressions by bringing into normal form, using multivariate polynomials or numerically

0:50:13

Manipulating Symbolic Expressions with Substitution, Expansion, and Factorization

0:47:33

Expression Trees for symbolic and numeric evaluation

0:48:58

Normal Forms of Rational Expressions and Polynomials

0:50:13

Univariate and Multivariate Polynomials, numeric, exact, symbolic factorizations, monomial orders

0:51:14

Vectorize and Cythonize to make your Python code run faster

0:46:57

Persistent Data and Serialization, writing and reading data in a Jupyter notebook with SageMath

0:45:04

Evaluation and Execution, lookup tables for finite fields, binary expression trees

0:45:10

Number Types and Functions to Store Data

0:39:58

Symbols, Names, and References

0:41:37

Complex and Algebraic Numbers, Finite Field Extensions

0:26:00

Exact and Floating-Point Numbers

0:44:48

Getting Started and Getting Help with SageMath

0:50:21

the Jupyter notebook documents our computations

0:50:00

Welcome to MCS 320, introduction to symbolic computation.

0:24:42

least squares on GPUs in multiple double precision

0:52:15

review for the final exam

0:49:20

Face Recognition and Ranking Data

0:46:14

Introduction to Deep Learning

0:50:27

introduction to neural networks

0:42:47

Introduction to Machine Learning

0:52:23

modeling vibrations by Bessel functions

0:37:39

Periodic Steady State