A p-adic approach to the computation ofGröbner bases
Journal of Symbolic Computation
A modular method for Gro¨bner-basis construction over Q and solving system of algebraic equations
Journal of Information Processing
On lucky ideals for Gro¨bner basis computations
Journal of Symbolic Computation
Journal of Symbolic Computation
Modern computer algebra
A modular method to compute the rational univariate representation of zero-dimensional ideals
Journal of Symbolic Computation - Special issue on polynomial elimination—algorithms and applications
ISAAC '88 Proceedings of the International Symposium ISSAC'88 on Symbolic and Algebraic Computation
Modular algorithms for computing Gröbner bases
Journal of Symbolic Computation
Sharp estimates for triangular sets
ISSAC '04 Proceedings of the 2004 international symposium on Symbolic and algebraic computation
Lifting techniques for triangular decompositions
Proceedings of the 2005 international symposium on Symbolic and algebraic computation
Multi-modular algorithm for computing the splitting field of a polynomial
Proceedings of the twenty-first international symposium on Symbolic and algebraic computation
Parallelization of Modular Algorithms
Journal of Symbolic Computation
Bit-size estimates for triangular sets in positive dimension
Journal of Complexity
Gröbner bases of symmetric ideals
Journal of Symbolic Computation
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Modular techniques are widely applied to various algebraic computations. (See [5] for basic modular techniques applied to polynomial computations.) In this talk, we discuss how modular techniques are efficiently applied to computation of various ideal operations such as Gröbner base computation and ideal decompositions. Here, by modular techniques we mean techniques using certain projections for improving the efficiency of the total computation, and by modular computations, we mean corresponding computations applied to projected images.