Result 1 to 20 of 176 total
Localized solutions to interval linear equations. (English)
J. Comput. Appl. Math. 238, 29-38 (2013).
1
Organizing calculations in algorithms for solving systems of interval linear equations using the “Interval extended zero” method. (English)
Wyrzykowski, Roman (ed.) et al., Parallel processing and applied mathematics. 9th international conference, PPAM 2011, Torun, Poland, September 11‒14, 2011. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-642-31499-5/pbk). Lecture Notes in Computer Science 7204, 439-446 (2012).
2
Cramer’s rule applied to flexible systems of linear equations. (English)
Electron. J. Linear Algebra 24, Spec. Iss., 126-152, electronic only (2012).
3
Pivot tightening for direct methods for solving symmetric positive definite systems of linear interval equations. (English)
Computing 94, No. 2-4, 97-107 (2012).
4
An interval extension based on occurrence grouping. (English)
Computing 94, No. 2-4, 173-188 (2012).
5
The polyhedral Lagrange principle. (English)
Sib. Math. J. 52, No. 3, 484-486 (2011); translation from Sib. Mat. Zh. 52, No. 3, 615-618 (2011).
6
Fuzzy symmetric solutions of fuzzy linear systems. (English)
J. Comput. Appl. Math. 235, No. 16, 4545-4553 (2011).
7
A short note on solvability of systems of interval linear equations. (English)
Linear Multilinear Algebra 59, No. 6, 707-710 (2011).
8
An algorithm for computing the hull of the solution set of interval linear equations. (English)
Linear Algebra Appl. 435, No. 2, 193-201 (2011).
9
Results concerning interval linear systems with multiple right-hand sides and the interval matrix equation $AX=B$. (English)
J. Comput. Appl. Math. 235, No. 9, 2969-2978 (2011).
10
Solving systems of interval linear equations with use of modified interval division procedure. (English)
Wyrzykowski, Roman (ed.) et al., Parallel processing and applied mathematics. 8th international conference, PPAM 2009, Wroclaw, Poland, September 13‒16, 2009. Revised selected papers, Part II. Berlin: Springer (ISBN 978-3-642-14402-8/pbk). Lecture Notes in Computer Science 6068, 427-435 (2010).
11
Classical and modern numerical analysis. Theory, methods and practice. (English)
Chapman \& Hall/CRC Numerical Analysis and Scientific Computing. Boca Raton, FL: CRC Press (ISBN 978-1-4200-9157-1/hbk). xix, 608~p. \sterling~46.00; \$~99.95 (2010).
12
The method of interval entropy function for ill-conditioned system of linear equation. (English)
Vychisl. Tekhnol. 14, No. 3, 3-13 (2009).
13
Extending the range of C-XSC: Some tools and applications for the use in parallel and other environments. (English)
Cuyt, Annie (ed.) et al., Numerical validation in current hardware architectures. International Dagstuhl seminar, Dagstuhl Castle, Germany, January 6‒11, 2008. Revised papers. Berlin: Springer (ISBN 978-3-642-01590-8/pbk). Lecture Notes in Computer Science 5492, 103-116 (2009).
14
A new method for solving interval and fuzzy equations: Linear case. (English)
Inf. Sci. 179, No. 7, 925-937 (2009).
15
New criteria for the feasibility of the Cholesky method with interval data. (English)
SIAM J. Matrix Anal. Appl. 30, No. 4, 1392-1405 (2008).
16
Solution of a system of linear equations with fuzzy numbers. (English)
Fuzzy Sets Syst. 159, No. 14, 1788-1810 (2008).
17
Iteration algorithm for solving a system of fuzzy linear equation with interval number coefficients matrix. (Chinese)
Math. Pract. Theory 38, No. 10, 180-186 (2008).
18
Fast algorithms for least-squares-based minimum variance spectral estimation. (English)
Signal Process. 88, No. 9, 2181-2192 (2008).
19
Linear interval equations with symmetric solution sets. (Russian ;English)
Zh. Vychisl. Mat. Mat. Fiz. 48, No. 4, 562-569 (2008); translation in Comput. Math. Math. Phys. 48, No. 4, 531-538 (2008).
20
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