Titlebook: Computer Algebra; EUROCAL’83, European J. A. Hulzen Conference proceedings 1983 Springer-Verlag Berlin Heidelberg 1983 Algebra.Euclidean al

reflection

,Integration — What do we want from the theory?,The theory of integration has moved a long way in the last fourteen years, though not far enough to satisfy the demands placed on it by its customers. This paper outlines what problems have yet to be solved, and tries to explain why they are not trivial.

RLS898

Characterization of a linear differential system with a regular singularity,Two methods are known for determining if a singularity of a linear differential system is regular, and finding the regularizing transformation..The cyclic vector method is complete in principle, but very expensive. We present another method applicable in most cases (including all with n≤3), which finds much simpler transforms.

corporate

Implementing REDUCE on a microcomputer, is considered. The resulting systems are compared against mainframes and a minicomputer running LISP and REDUCE. The assertion of this work is that a new style of personal algebra computer is now possible, which is both fast and reasonably priced, and as such provides a cheaper base system for algebra research than mainframes or LISP hardware.

轻信

Computer Algebra978-3-540-38756-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

巧办法

0302-9743 Overview: 978-3-540-12868-7978-3-540-38756-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

Aggrandize

Description of Empirical Studies is considered. The resulting systems are compared against mainframes and a minicomputer running LISP and REDUCE. The assertion of this work is that a new style of personal algebra computer is now possible, which is both fast and reasonably priced, and as such provides a cheaper base system for algebra research than mainframes or LISP hardware.

AER

一致性

Additive

The design of Maple: A compact, portable, and powerful computer algebra system,ets, procedures, equations, and power series, among others. Each internal type has its own tagged data structure. “Dynamic vectors” are used as the fundamental memory allocation scheme. Maple maintains a unique copy of every expression and subexpression computed, employing hashing for efficient acce

Dorsal

Multi polynomial remainder sequence and its application to linear diophantine equations,