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Navigation: Home
\ Development
\ Compilers & Interpreters \ Agena
Agena4.0.2 by agena.info |
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Software Description:
... a versatile procedural programming language designed for scientific, educational, and scripting applications. It excels in simplicity and efficiency, making it ideal for both beginners and seasoned developers. With robust support for complex mathematical functions, flexible data structures, and seamless integration with various platforms, Agena stands out as a powerful tool for rapid development and problem-solving. ...
type: Open Source
Download Agenacategories: Agena, download Agena, Agena free download, programming language, application development, create application, develop, syntax, programmer, script Add to Download Basket Report virus or spyware |
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Best Vista Download periodically updates pricing and software information of Agena full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for Agena license key is illegal and prevent future development of Agena. Download links are directly from our mirrors or publisher's website, Agena torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | September 03, 2024 |
| Filesize: | 8.70 MB |
| Platform: | Windows NT, Windows 11, Windows 10 32/64 bit, Windows 8 32/64 bit, Windows 7 32/64 bit, Windows Vista, Windows XP, Windows 2K |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
Agena- Releases History |
| Software: | Agena 4.0.2 |
| Date Released: | Sep 3, 2024 |
| Status: | New Release |
| Release Notes: | `linalg.ludecomp` for LU decomposition has been ported to C and has become 4.5 times faster in one-argument mode, and three times faster in `all=true' mode. Previously, the function did not correctly process the `all' option in some cases. This has been fixed, too. `linalg.isref` and `linalg.isrref` which check whether a matrix is in (reduced) row echelon form have both been ported to C, too, and have become twice and eight times faster, respectively. They can now also check multiple matrices in just a single call. `linalg.mpow` which multiplies a square matrix n times by itself has been ported to C and has become at least four times as fast. `linalg.mmul` which conducts matrix multiplication has become 20 percent faster with matrices that contain integral elements only. With vectors, `linalg.norm` computes the n-norm of vectors thrice as fast. With all other norms, and with both vectors and matrices, the function has become five percent faster. This release has been Valgrind-checked on x86 and AMD64 Linux to ensure there are no internal errors or memory leaks. |
| Software: | Agena 4.0.1 |
| Date Released: | Aug 28, 2024 |
| Status: | New Release |
| Release Notes: | `linalg.ludecomp` for LU decomposition has been ported to C and has become 4.5 times faster in one-argument mode, and three times faster in `all=true' mode. Previously, the function did not correctly process the `all' option in some cases. This has been fixed, too. `linalg.isref` and `linalg.isrref` which check whether a matrix is in (reduced) row echelon form have both been ported to C, too, and have become twice and eight times faster, respectively. They can now also check multiple matrices in just a single call. `linalg.mpow` which multiplies a square matrix n times by itself has been ported to C and has become at least four times as fast. `linalg.mmul` which conducts matrix multiplication has become 20 percent faster with matrices that contain integral elements only. With vectors, `linalg.norm` computes the n-norm of vectors thrice as fast. With all other norms, and with both vectors and matrices, the function has become five percent faster. This release has been Valgrind-checked on x86 and AMD64 Linux to ensure there are no internal errors or memory leaks. |
| Software: | Agena 4.0.0 |
| Date Released: | Aug 25, 2024 |
| Status: | New Release |
| Release Notes: | You can define vectors and matrices similar to contemporary Maple versions using the < ... > syntax. For vectors, enter: > v := < 10, 20, 30 >: < 10, 20, 30 > > w := < 1, 2, 3 >: < 1, 2, 3 > Vectors defined this way can be used in computations as usual: > v + w: < 11, 22, 33 > The pretty-printer outputs vectors using the new notation. For matrices, write: > A := < < 1, 2, 3 >, < 4, 5, 6 >, < 7, 8, 9 > >: [ 1, 2, 3 ] [ 4, 5, 6 ] [ 7, 8, 9 ] > B := < v, w >: [ 10, 20, 30 ] [ 1, 2, 3 ] Of course, you can use matrices defined in the new fashion the same way as those defined with the `matrix` constructor. New `linalg.randvector` returns a random vector: > linalg.randvector(3): < 10, 78, -61 > > linalg.randvector(3, 0:10): < 0, 9, 4 > The percentage placeholder feature in extended `if` and `while` clauses has been removed; use the variable name in the preceding assignment statement - in the example below `logn' - instead in the `where` or `until` clause: > i := 1; > while logn := ln(i), logn < -0.9 do > i +:= 0.1 > od; The following aliases to deprecated functions have been removed (left-hand side the deleted alias, right-hand side the new alternative): calc.bernoulli -> combinat.bernoulli calc.euler -> combinat.euler float -> fractional linalg.cofactor -> linalg.adjoint linalg.column -> linalg.col linalg.gsolve -> linalg.linsolve linalg.isallones -> linalg.isone; linalg.zerovector -> linalg.vzero math.stirnum -> combinat.stirling1 & combinat.stirling2 math.todec -> math.dd stats.bell -> combinat.bell stats.cartprod -> combinat.cartprod stats.numbcomb -> combinat.numbcomb stats.numbpart -> combinat.numbpart stats.numbperm -> combinat.numbperm stats.poissonpdf -> stats.poisson strings.isfloat -> strings.isfractional strings.isnumber -> |
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type: Open Source
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