dependent_bterms
An extension to SageMath's module for computations with asymptotic expansions. Provides a special AsymptoticRing that allows to specify a secondary, dependent (monomially bounded) variable.
Quickstart and Summary
The package can be made available to your SageMath installation by running
$ sage -pip install dependent_bterms
from your terminal, or just
!pip install dependent_bterms
from within a SageMath Jupyter notebook. The package can then be used as follows:
sage: import dependent_bterms as dbt
sage: AR, n, k = dbt.AsymptoticRingWithDependentVariable( # create a special AsymptoticRing
....: 'n^QQ', # in one asymptotic (monomial) variable n with rational powers
....: 'k', 0, 1/2, # with a symbolic variable k assumed to be in the range n^0 <= k <= n^(1/2)
....: bterm_round_to=2 # and explicit error terms should be rounded to two decimal places
....: )
sage: k*n^2 + O(n^(3/2)) + k^3*n # summands are ordered w.r.t. their highest potential growth
k^3*n + k*n^2 + O(n^(3/2))
sage: asy = 1/n + AR.B(k/n^2, valid_from=10)
sage: asy_exp = dbt.taylor_with_explicit_error(lambda t: exp(t), asy, order=3, valid_from=10)
sage: asy_exp
1 + n^(-1) + B((abs(28/25*k + 73/100))*n^(-2), n >= 10)
sage: dbt.simplify_expansion(asy_exp, simplify_bterm_growth=True)
1 + n^(-1) + B(34/25*n^(-3/2), n >= 10)
One-line descriptions of the top-level members exported with this module are given below. A description of their respective input arguments and several examples are provided in the respective docstrings.
-
AsymptoticRingWithDependentVariables-- A special (univariate)AsymptoticRingthat is aware of a monomially bounded symbolic variable. -
evaluate-- Evaluate a symbolic expression without necessarily returning a result in the symbolic ring. -
simplify_expansion-- Simplify an asymptotic expansion by allowing error terms to try and absorb parts of exact terms. -
round_bterm_coefficients-- Round the coefficients of all B-terms in the given expansion to the next integer (or rational with respect to the provided precision). -
set_bterm_valid_from-- Changes the point from which a B-term bound is valid such that the term remains valid. -
expansion_upper_bound-- Returns an upper bound for the given asymptotic expansion by turning all B-term instances into exact terms -
taylor_with_explicit_error-- Determines the series expansion with explicit error bounds of a given functionfat a specified asymptotic term.
Demo
A worksheet containing a comprehensive introduction to the capabilities of
this package can be found here: toolbox_demo.ipynb.
Metadata
Release files for dependent-bterms 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dependent_bterms-1.0.2.tar.gz | 22.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dependent_bterms-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 47.9 kB
Release files / dependent_bterms-1.0.2.tar.gz
| Download URL | dependent_bterms-1.0.2.tar.gz |
|---|---|
| Size | 22.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d9e5ef9d92cb7719d1962555afaad48f5f99a3db4abe38284f3603ae8f9ab851
|
|
BLAKE2b-256 checksum How to use checksums |
77b74e3fba5fdb76e4f942782116e6d9f77901dd1e0a4ffdbf3d1a6172ceeab2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.6.4
|
Release files / dependent_bterms-1.0.2-py3-none-any.whl
| Download URL | dependent_bterms-1.0.2-py3-none-any.whl |
|---|---|
| Size | 25.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e7db5b7f57600299245e0666238855cfa1c5d9081c71eb2df56c4255f04c632e
|
|
BLAKE2b-256 checksum How to use checksums |
66634b3f5e62cd0f06d5b8aad51cf82ca3eebeda3cf3eff25faf3f58427196a8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.6.4
|