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Fast Prototyping and Flexible C++ Library for Computations in Commutative Algebra

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Fast Prototyping and Flexible C++ Library for Computations in Commutative Algebra CoCoA and CoCoALib: Fast Prototyping and Flexible C++ Library for Computations in Commutative Algebra John Abbott Anna Maria Bigatti Institut fur¨ Mathematik Dipartimento di Matematica Universitat¨ Kassel Universita` degli Studi di Genova, Italy Kassel, Germany http://www.dima.unige.it/∼bigatti http://www.dima.unige.it/∼abbott Abstract—The CoCoA project began in 1987, and conducts (with two closely related applications being the interactive research into Computational Commutative Algebra (from which system and the compute server). This initial decision, together its name comes) with particular emphasis on Grobner¨ bases with the desire to help the software prosper, has many im- of ideals in multivariate polynomial rings, and related areas. A major output of the project is the CoCoA software, including the plications: e.g. designing a particularly clean interface for all CoCoA-5 interactive system and the CoCoALib C++ library. The functions with comprehensive documentation. This cleanliness software is open-source (GPL v.3), and under continual, active makes it easy to integrate CoCoALib into other software in a development. We give a summary of the features of the software trouble-free manner. likely to be relevant to the SC-Square community. Many computer algebra systems have a two-tier structure: I. INTRODUCTION a compiled kernel with interpreter, and an external library CoCoA-5 is a well-established Computer Algebra System of interpretable code for more advanced functions. Our aim specialized in operations on polynomial ideals, and a number with CoCoALib is different: we plan to have all functions of allied operations (e.g. factorization, and linear algebra). implemented directly in the C++ library so that all features It offers a dedicated, mathematician-friendly programming are available to programs which link to CoCoALib. language, and numerous functions covering many aspects of CoCoALib reports errors using C++ exceptions, while the Commutative Algebra. There is a strong emphasis on both library itself is exception-safe and (largely) thread-safe. The rigour and ease of use. For details see [1]. current source code follows the C++03 standard; a passage to The mathematical core of the software is CoCoALib. It is the C++11 standard is planned for the near future (and this an open source C++ software library which has been designed should enable the code to become fully thread-safe). to be user-friendly, facilitating integration with other software. The library is fully documented, and also comes with about A. Library Design 100 illustrative example programs (since it is often quicker We want CoCoALib to be a desirable software library, so it to copy and modify existing working code than write it from must be easy to use, reliable, robust and fast. Unfortunately, scratch). For details see [2]. achieving all these features together is not always possible, There is also a prototype “CoCoA server” giving access so there are occasional compromises. One guiding principle is to many functions via a remote-procedure-call connection. that we want no nasty surprises. Currently, communications to and from the server use an Here are the main features of the design of CoCoALib: OpenMath-like syntax. A more sophisticated “remote session” • it is well-documented, free and open source C++ code communication model is envisaged, which will reduce overall (under the GPL v.3 licence); transmission costs. • the design is inspired by, and respects, the underlying The CoCoA software is interesting to SC-square because mathematical structures; it includes a well-documented, open source C++ library of- • the source code is clean and portable; fering a good implementation of Grobner¨ bases, polynomial • the user function interface is natural for mathematicians, factorization, etc. The interactive system is well-suited to rapid and easy to memorize; prototyping, while the server offers possibilities for looser • execution speed is good with robust error detection. integration. Our design of CoCoALib aims to make it easy to write II. THE SOFTWARE LIBRARY COCOALIB correct programs, and difficult to write incorrect ones or ones A crucial aspect of the CoCoA software is that it was which produce “nasty surprises”. While trying to follow this designed from the outset to be an open-source software library guideline we encountered some delicate aspects of the design: Copyright c by the paper's authors. Copying permitted for private and academic purposes. In: E. Abrah´am,J.´ Davenport, P. Fontaine, (eds.): Proceedings of the 1st Workshop on Satisfiability Checking and Symbolic Computation (SC2), Timisoara, Romania, 02-07-2016, published at http://ceur-ws.org • precise definition of a function’s domain (e.g. what result Mayer-Vietoris trees associated to monomial ideals. A sig- should IsPrime(-2) give? And IsPrime(0)?) nificant aspect of this contribution is that the author worked • a choice between absolute mathematical correctness or completely independently relying entirely on the documenta- decent computational speed (and a remote chance of a tion of CoCoALib — thus confirming the quality of the docu- wrong answer) mentation. His work has encouraged us to develop specialized, In general, CoCoALib handles limit cases properly. The efficient handling for monomial ideals (see [7]). domain of each CoCoALib function is described in the docu- A more recent contribution comes from M. Albert, who mentation; for instance IsPrime throws an exception if the implemented an algorithm for computing Janet Bases of ideals argument is not strictly positive — our reasoning is that it in polynomial rings. Once a Janet Basis has been obtained, is unusual to want to test the primality of zero or a negative many ideal invariants can readily be determined ([4], [5]). number, so it is likely that the routine which called IsPrime Work is still under way to further expand this contribution. has already made a mistake, so it is better to report it “as soon C. Combining with External Libraries as possible”. CoCoALib offers the programmer the choice between absolute correctness or probable correctness and good We have combined some of the features of various external speed, e.g. IsPrime and IsProbPrime. libraries into CoCoALib. An important step in each case is An example of design: Finding a library interface which is the “translation” of a mathematical value from its CoCoALib easy to learn and use, mathematically correct, but also efficient representation to that of the foreign library, and vice versa. at run-time often requires a delicate balance of compromise. To make it easier to do this CoCoALib offers operations for We cite here one example from CoCoALib where the solution destructuring the various data-structures it operates upon. is untraditional but successful. One aspect of combining libraries which requires careful CoCoALib uses continued fractions internally in various attention is any global initialization the libraries perform, for algorithms. A continued fraction is an expression of the form: instance specifying the memory manager for the common un- 1 derlying library GMP. CoCoALib addresses this by requiring a0 + 1 explicit initialization of its globals; there are various options, a1 + 1 a2+ a3+··· including one for specifying a memory manager for GMP. where a0 is an integer, and a1; a2;::: are positive integers. The first library we combined with CoCoALib is Frobby Every rational number has a finite continued fraction which, (see [8]) which is specialized for operations on monomial ide- for compactness, is often represented as a list of integers als. The experience also helped us improve the interfacibility [a0; a1; a2; : : : ; as]. of CoCoALib. The most natural implementation in CoCoALib would sim- The most advanced integration we have achieved so far is ply compute this list. But in many applications only the first with the Normaliz library (see [6]) for computing with affine few ak are needed, and computing the entire list is needlessly monoids or rational cones. This is part of a closer collaboration costly. So the CoCoALib implementation produces an iterator which is described in more detail in [3]. In this particular case, (a basic concept well-known in object-oriented programming) a new data-structure (called cone) was added to CoCoALib which produces the values of the ak one at a time. to contain the type of value which Normaliz computes with. B. Extending CoCoALib The most recent integration was with GFanLib (see [9]) Naturally most of the source code in CoCoALib was written which is a C++ software library for computing Grobner¨ fans by us, but the design of the library (and its openness) was and tropical varieties. The experience gained from the earlier chosen to facilitate and encourage “outsiders” to contribute. integrations made this a swift and painless operation. We distinguish two categories of contribution: code writ- There is also an experimental connection to some of the ten specifically to become part of CoCoALib, and stand- functions of GSL (GNU Scientific Library [10]). This is an alone code written without considering its integration into interesting challenge because the interface has to handle two CoCoALib. contrasting viewpoints: the exact world of CoCoALib, and the Specific Direct Contributions to CoCoALib: The first out- approximate (i.e. floating-point) world of GSL. side contribution came from M. Caboara, who wrote the code for computing Grobner¨ bases and related operations III. THE INTERACTIVE SYSTEM COCOA-5 while CoCoALib was still quite young. At that stage the The CoCoA-5 system replaces the old CoCoA-4 system detailed implementation of CoCoALib was still quite fluid, whose heritage can be traced back at least to 1989. For and a number of pretty radical changes in the underlying several reasons CoCoA-5 is a completely new implementation, data-structures were still to occur; yet despite these upheavals whose design was developed under the precept that it be Caboara’s implementation of Buchberger’s algorithm required “as backward-compatible as (reasonably) possible” while also virtually no changes, thus confirming the good modularity and eliminating the limitations inherent in the older system.
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