Comments (2)
cbm755
commented on June 8, 2024
I think I've made a decision, sympy matrix.
from symbolic.
cbm755
commented on June 8, 2024
To clarify: my main reason choosing 1) was so that linear algebra would be simpler (symbolic matrices are SymPy Matrix objects).
OTOH, one case where things don't always work well is vpa (variable precision floating point) objects. SymPy is poor w.r.t. numerical stability considerations (focus is on symbolic computations). Its possible---but not tested---that having Octave-native arrays would allow better variable precision computations by running Octave code instead with only scalar arithmetic done by Python. At the time I assumed most such routines were in C++ and not accessible to @sym objects, but one could experiment...
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Related Issues (20)
- unexpected error creating a matrix: octave_base_value::map_value(): wrong type argument 'scalar' HOT 1
- Cap the wait time in readblock.m
- Using octsympy in MATLAB HOT 5
- update links for Pythonic package move HOT 1
- Moving the repo HOT 2
- metainfo: fix Octave ID to match upstream
- SyntaxWarning: invalid escape sequence '\(' HOT 1
- Bernoulli failures on SymPy 1.12 HOT 2
- sym(x, 'r') heuristics poor for small x < 1e-17 HOT 4
- sym 'r' flag ignored for arrays HOT 1
- vpasolve compatibility: multivariable outputs should return as a struct
- piecewise: matlab compatibility issue for certain interval forms HOT 3
- fplot error plotting piecewise symbolic variable HOT 1
- isequal of two unit vpa precisions HOT 1
- CI: nodejs warnings
- "See also" help is doubling all the `@` signs HOT 3
- metainfo: developer_name is deprecated
- laplace wrong answer in t*sin() or t*cos() transforms HOT 4
- windows: test sympref failing with unicodeescape error
- 3.2.0 tarball might be wrong commit
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