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Alexander Verbovetsky
5696278d68
academic/cadabra2: Update README.
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1 rok pred | |
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| .. | ||
| README | 5696278d68 academic/cadabra2: Update README. | 1 rok pred |
| cadabra2.SlackBuild | 5393c79c9e academic/cadabra2: Updated for version 2.4.3.2. | 1 rok pred |
| cadabra2.info | 5393c79c9e academic/cadabra2: Updated for version 2.4.3.2. | 1 rok pred |
| doinst.sh | 8c5f20ab59 academic/cadabra2: Added (field-theory motivated computer algebra). | 7 rokov pred |
| slack-desc | 7bae99d38f academic/cadabra2: Updated for version 2.2.7. | 5 rokov pred |
README
Cadabra is a symbolic computer algebra system (CAS) designed
specifically for the solution of problems encountered in field theory.
It has extensive functionality for tensor computer algebra, tensor
polynomial simplification including multi-term symmetries, fermions
and anti-commuting variables, Clifford algebras and Fierz
transformations, component computations, implicit coordinate
dependence, multiple index types and many more. The input format is a
subset of TeX. Both a command-line and a graphical interface are
available.
* Designed for field-theory problems, with handling of anti-commuting
and non-commuting objects without special notations for their
products, gamma matrix algebra, Fierz identities, Dirac conjugation,
vielbeine, flat and curved, covariant and contravariant indices,
implicit dependence of tensors on coordinates, partial and covariant
derivatives...
* Powerful tensor simplification algorithms, not just for mono-term
symmetries but also for multi-terms symmetries like the Bianchi
identity, or dimensionally-dependent symmetries like the Schouten
identity.
* Allows for both abstract and component computations.
* A standalone graphical notebook interface which can also be used as
a front-end for SymPy.
* Input and output using a subset of LaTeX notation.
* Programmable using Python.
If this SlackBuild is running on a system which has WolframEngine
(available on SBo) or Mathematica (not on SBo) installed, its support
in Cadabra can be enabled by setting the environment variable MMA=ON
(default: MMA=OFF).
specifically for the solution of problems encountered in field theory.
It has extensive functionality for tensor computer algebra, tensor
polynomial simplification including multi-term symmetries, fermions
and anti-commuting variables, Clifford algebras and Fierz
transformations, component computations, implicit coordinate
dependence, multiple index types and many more. The input format is a
subset of TeX. Both a command-line and a graphical interface are
available.
* Designed for field-theory problems, with handling of anti-commuting
and non-commuting objects without special notations for their
products, gamma matrix algebra, Fierz identities, Dirac conjugation,
vielbeine, flat and curved, covariant and contravariant indices,
implicit dependence of tensors on coordinates, partial and covariant
derivatives...
* Powerful tensor simplification algorithms, not just for mono-term
symmetries but also for multi-terms symmetries like the Bianchi
identity, or dimensionally-dependent symmetries like the Schouten
identity.
* Allows for both abstract and component computations.
* A standalone graphical notebook interface which can also be used as
a front-end for SymPy.
* Input and output using a subset of LaTeX notation.
* Programmable using Python.
If this SlackBuild is running on a system which has WolframEngine
(available on SBo) or Mathematica (not on SBo) installed, its support
in Cadabra can be enabled by setting the environment variable MMA=ON
(default: MMA=OFF).