Algebraic methods in set-theoretic topology

Ten Papers on Topology - American Mathematical Society Translations: Series 2 ◽

10.1090/trans2/030/04 ◽

1963 ◽

pp. 241-254

Author(s):

G. S. Čogošvili

Keyword(s):

Algebraic Methods

PDE, Differential Geometric and Algebraic Methods for Nonlinear Filtering.

10.21236/ada310330 ◽

1996 ◽

Author(s):

Stephen S. Yau

Keyword(s):

Nonlinear Filtering ◽

Algebraic Methods

Comparing the solution of the time fractional Gross–Pitaevskii (FGP) equation with external potential by analytical and algebraic methods

SeMA Journal ◽

10.1007/s40324-016-0064-2 ◽

2016 ◽

Vol 73 (3) ◽

pp. 201-212

Author(s):

N. Taghizadeh ◽

A. Ebadian ◽

M. Najand Foumani ◽

F. Farahrooz ◽

A. A. Khajehnasiri

Keyword(s):

External Potential ◽

Algebraic Methods

Symbolic and algebraic methods in computational origami

Proceedings of the 2009 international symposium on Symbolic and algebraic computation - ISSAC '09 ◽

10.1145/1576702.1576704 ◽

2009 ◽

Author(s):

Tetsuo Ida

Keyword(s):

Algebraic Methods

LIE ALGEBRAIC METHODS IN INTEGRABLE SYSTEMS (Research Notes in Mathematics 415) By A. ROY CHOWDHURY: 354 pp., £45.95, ISBN 1-584-88037-6 (Chapman & Hall/CRC, Boca Raton, FL, 2000).

Bulletin of the London Mathematical Society ◽

10.1017/s0024609301289279 ◽

2001 ◽

Vol 33 (3) ◽

pp. 363-383

Author(s):

Pierre Van Moerbeke

Keyword(s):

Integrable Systems ◽

Algebraic Methods ◽

Systems Research

Algebraic methods in plane geometry

Resonance ◽

10.1007/s12045-008-0123-9 ◽

2008 ◽

Vol 13 (11) ◽

pp. 1027-1040

Author(s):

Shailesh A. Shirali

Keyword(s):

Plane Geometry ◽

Algebraic Methods

Decision Expression Optimization1

Fundamenta Informaticae ◽

10.3233/fi-1987-10107 ◽

1987 ◽

Vol 10 (1) ◽

pp. 93-114

Author(s):

J.R.B. Cockett

Keyword(s):

Decision Trees ◽

Algebraic Methods

A basic concern when using decision trees for the solution of taxonomic or similar problems is their efficiency. Often the information that is required to completely optimize a tree is simply not available. This is especially the case when a criterion based on probabilities is used. It is shown how it is often possible, despite the absence of this information, to improve the design of the tree. The approach is based on algebraic methods for manipulating decision trees and the identification of some particularly desirable forms.