We propose a method to automatically convert unstable programs in symbolic computationinto stable programs based on the stabilization method proposed by Shirayanagiand Sweedler. We have implemented a prototype of an automatic algorithm stabilizationsystem whose target symbolic computation program is Maple, in C Ianguage using lex andyacc, and have reported experimental results.NLA99: Computer Algebra : The Fourth Symposium on Nonlinear Analysis, September 16-18, 1999 Josai University, edited by Kiyoko Nishizawa (Josai University), Tomokatsu Saito (Sophia University), Teluhiko Hilano (Kanagawa Inst. Tec.
This chapter describes the role of symbolic computation in several phases of the control system desi...
AbstractModern transfer function methods use quite a lot of abstract algebra in the design of contro...
AbstractThe stability of algorithms in numerical linear algebra is discussed. The concept of stabili...
We propose a method to automatically convert unstable programs in symbolic computationinto stable pr...
AbstractThis note is about a methodology utilizing inexact computation in conjunction with exact com...
The theory of nonlinear optimization traditionally studies numeric com-putations. However, increasin...
The theory of nonlinear optimization traditionally studies numeric computations. However, increasing...
To aid in the analysis and design of nonlinear control systems the NONlinCON package (an acronym for...
To help along the analysis and design of nonlinear control systems the NONLINCON package, an acronym...
AbstractStandard implementations of the Simplex method have been shown to be subject to computationa...
Symbolic computation, also known as computer algebra, is a powerful tool in solving tough and intric...
International audienceIn this work, we provide an overview of the classical symbolic techniques for ...
Symbolic computation, also known as computer algebra, is a powerful tool in solving tough and intric...
While the state of the art is relatively sophisticated in programming language support for computer ...
For the analysis and design of nonlinear control systems non-numerical methods are available. The re...
This chapter describes the role of symbolic computation in several phases of the control system desi...
AbstractModern transfer function methods use quite a lot of abstract algebra in the design of contro...
AbstractThe stability of algorithms in numerical linear algebra is discussed. The concept of stabili...
We propose a method to automatically convert unstable programs in symbolic computationinto stable pr...
AbstractThis note is about a methodology utilizing inexact computation in conjunction with exact com...
The theory of nonlinear optimization traditionally studies numeric com-putations. However, increasin...
The theory of nonlinear optimization traditionally studies numeric computations. However, increasing...
To aid in the analysis and design of nonlinear control systems the NONlinCON package (an acronym for...
To help along the analysis and design of nonlinear control systems the NONLINCON package, an acronym...
AbstractStandard implementations of the Simplex method have been shown to be subject to computationa...
Symbolic computation, also known as computer algebra, is a powerful tool in solving tough and intric...
International audienceIn this work, we provide an overview of the classical symbolic techniques for ...
Symbolic computation, also known as computer algebra, is a powerful tool in solving tough and intric...
While the state of the art is relatively sophisticated in programming language support for computer ...
For the analysis and design of nonlinear control systems non-numerical methods are available. The re...
This chapter describes the role of symbolic computation in several phases of the control system desi...
AbstractModern transfer function methods use quite a lot of abstract algebra in the design of contro...
AbstractThe stability of algorithms in numerical linear algebra is discussed. The concept of stabili...