NEA-1112 TENDANCES.
TENDANCES, Search for Tendencies by Least Squares Fit Method
NAME OR DESIGNATION OF PROGRAM, COMPUTER, DESCRIPTION OF PROGRAM OR FUNCTION, METHOD OF SOLUTION, RESTRICTIONS ON THE COMPLEXITY OF THE PROBLEM, TYPICAL RUNNING TIME, UNUSUAL FEATURES OF THE PROGRAM, RELATED AND AUXILIARY PROGRAMS, STATUS, REFERENCES, MACHINE REQUIREMENTS, LANGUAGE, OPERATING SYSTEM UNDER WHICH PROGRAM IS EXECUTED, OTHER PROGRAMMING OR OPERATING INFORMATION OR RESTRICTIONS, NAME AND ESTABLISHMENT OF AUTHORS, MATERIAL, CATEGORIES
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| Program name | Package id | Status | Status date |
|---|---|---|---|
| TENDANCES | NEA-1112/02 | Tested | 01-OCT-1987 |
Machines used:
| Package ID | Orig. computer | Test computer |
|---|---|---|
| NEA-1112/02 | IBM 3033 | IBM 3084 |
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3. DESCRIPTION OF PROGRAM OR FUNCTION
The search of tendencies is an application of the mean square method. Its objective is the better possible evluation of the basic data used in the calculations from the comparison between measurements of integral characteristics and the corresponding theoretical results.
"TENDANCES" performs the mean square minimizations and gives the informations allowing the analysis of these minimizations.
The search of tendencies is an application of the mean square method. Its objective is the better possible evluation of the basic data used in the calculations from the comparison between measurements of integral characteristics and the corresponding theoretical results.
"TENDANCES" performs the mean square minimizations and gives the informations allowing the analysis of these minimizations.
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6. TYPICAL RUNNING TIME
From a few seconds to a few tens of seconds depending on the complexity of the problem.
From a few seconds to a few tens of seconds depending on the complexity of the problem.
NEA-1112/02
NEA-DB compiled, linked and executed the test case included in this package on an IBM 3084 computer in 3.65 seconds of CPU time.[ top ]
7. UNUSUAL FEATURES OF THE PROGRAM
"TENDANCES" were developped for the qualification of "APOLLO" which performs neutron calculations (k effective, reaction rates, nuclide concentrations,...) from basic nuclear data. Any code giving integral quantities which can be compared with experimental results could be qualified thanks to "TENDANCES" analyses.
"TENDANCES" were developped for the qualification of "APOLLO" which performs neutron calculations (k effective, reaction rates, nuclide concentrations,...) from basic nuclear data. Any code giving integral quantities which can be compared with experimental results could be qualified thanks to "TENDANCES" analyses.
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NEA-1112/02, included references:
- P. Reuss:La Methode de Recherche de Tendances.
CEA-N-2222 (Aout 1981)
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NEA-1112/02
| File name | File description | Records |
|---|---|---|
| NEA1112_02.001 | Information file | 71 |
| NEA1112_02.002 | Fortran source | 1917 |
| NEA1112_02.003 | Sample input data | 41 |
| NEA1112_02.004 | Sample output list | 414 |
Keywords: least square fit.