|
Browse All Reviews > Mathematics Of Computing (G) > Mathematical Software (G.4) > Certification And Testing (G.4...)
|
|
|
|
|
|
|
|
|
1-10 of 12
Reviews about "Certification And Testing (G.4...)":
|
Date Reviewed |
|
Implementation of hierarchical bases in FEMLAB for simplicial elements Xin J., Pinchedez K., Flaherty J. ACM Transactions on Mathematical Software 31(2): 187-200, 2005. Type: Article
Hierarchical shape function bases are essential for the efficiency of p-version refinement, in which the polynomial order is increased to improve the accuracy. A good basis should not result in stiffness matrices wit...
|
Sep 14 2005 |
|
Maple, Mathematica, and Matlab: the 3Ms without the tape Chonacky N., Winch D. Computing in Science and Engineering 7(1): 8-16, 2005. Type: Article, Reviews: (1 of 2)
This is the first in a series of technology reviews of “the three preeminent productivity tools.” The authors begin with a discussion of the style, history, and design principles of each tool, based on their experie...
|
Jun 22 2005 |
|
Maple, Mathematica, and Matlab: the 3Ms without the tape Chonacky N., Winch D. Computing in Science and Engineering 7(1): 8-16, 2005. Type: Article, Reviews: (2 of 2)
This is the first in a series of technology reviews of “the three preeminent productivity tools.” The authors begin with a discussion of the style, history, and design principles of each tool, based on their experie...
|
Jun 22 2005 |
|
Note on generalization in experimental algorithmics Ramakrishnan N., Valdés-Pérez R. ACM Transactions on Mathematical Software 26(4): 568-580, 2000. Type: Article
The authors describe an all-pairs profiling technique for extracting concise, qualitative insights from experimental studies of the comparative advantages of different algorithms. They apply the technique to some data from the literatu...
|
Jan 1 2001 |
|
A test package for Sturm-Liouville solvers Pryce J. ACM Transactions on Mathematical Software 25(1): 21-57, 1999. Type: Article
The author has exploited his considerable experience in redesigning a test package (DETEST) for comparison of the performance of software for ordinary differential equation initial value problems, to aid in the design of a somewhat sim...
|
Jul 1 1999 |
|
CUTE Bongartz I., Conn A., Gould N., Toint P. ACM Transactions on Mathematical Software 21(1): 123-160, 1995. Type: Article
The authors describe computer software that can be used for large-scale testing of programs for solving optimization problems with and without constraints. Many of the facilities described were produced in conjunction with the LANCELOT...
|
Jul 1 1996 |
|
Generating quadratic bilevel programming test problems Calamai P., Vicente L. ACM Transactions on Mathematical Software 20(1): 103-119, 1994. Type: Article
A source of valid test problems is an invaluable asset in testing the efficiency and scope of both existing and new algorithms. While test suites are available for a number of other areas of optimization, this work is the first attempt...
|
Dec 1 1994 |
|
A modified Adams method for nonstiff and mildly stiff initial value problems Cash J., Semnani S. ACM Transactions on Mathematical Software 19(1): 63-80, 1993. Type: Article
A class of modified Adams formulas that have real stability intervals that are roughly three times as large as those of the standard Adams predictor-corrector formulas in a PECE mode of the same order is described. The methods are base...
|
Jan 1 1994 |
|
The use of Taylor series to test accuracy of function programs Cody W., Stoltz L. ACM Transactions on Mathematical Software 17(1): 55-63, 1991. Type: Article
Local Taylor series expansions are recommended for determining the accuracy of special function routines. The authors emphasize using exact machine numbers as arguments in the Taylor series, special action to deal with large relative e...
|
Feb 1 1992 |
|
Performance evaluation of programs for the error and complementary error functions Cody W. ACM Transactions on Mathematical Software 16(1): 29-37, 1990. Type: Article
Techniques for evaluating accuracy and robustness of subprograms for computing the error functions erf ( x ), erfc ( x ), and e x 2 erfc ( x )
|
Dec 1 1990 |
|
|
|
|
|
|