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LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis

A new class library is designed for function maximization, minimization, solution of equations and for other problems related to mathematical analysis of multi-parameter functions by numerical iterative methods. When we search the maximum or another special point of a function, we may change and fit...

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Detalles Bibliográficos
Autor principal: Smirnov, I B
Lenguaje:eng
Publicado: 2001
Materias:
Acceso en línea:http://cds.cern.ch/record/502787
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author Smirnov, I B
author_facet Smirnov, I B
author_sort Smirnov, I B
collection CERN
description A new class library is designed for function maximization, minimization, solution of equations and for other problems related to mathematical analysis of multi-parameter functions by numerical iterative methods. When we search the maximum or another special point of a function, we may change and fit all parameters simultaneously, sequentially, recursively, or by any combination of these methods. The discussion is focused on the first the most complicated method, although the others are also supported by the library. For this method we apply: control of precision by interval computations; the calculation of derivatives either by differential arithmetic, or by the method of finite differences with the step lengths which provide suppression of the influence of numerical noise; possible synchronization of the subjective function calls with minimization of the number of iterations; competitive application of various methods for step calculation, and converging to the solution by many trajectories.
id cern-502787
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2001
record_format invenio
spelling cern-5027872019-09-30T06:29:59Zhttp://cds.cern.ch/record/502787engSmirnov, I BLikelihoodLib - Fitting, Function Maximization, and Numerical AnalysisComputing and ComputersA new class library is designed for function maximization, minimization, solution of equations and for other problems related to mathematical analysis of multi-parameter functions by numerical iterative methods. When we search the maximum or another special point of a function, we may change and fit all parameters simultaneously, sequentially, recursively, or by any combination of these methods. The discussion is focused on the first the most complicated method, although the others are also supported by the library. For this method we apply: control of precision by interval computations; the calculation of derivatives either by differential arithmetic, or by the method of finite differences with the step lengths which provide suppression of the influence of numerical noise; possible synchronization of the subjective function calls with minimization of the number of iterations; competitive application of various methods for step calculation, and converging to the solution by many trajectories.EXT-2001-033PNPI-2421oai:cds.cern.ch:5027872001-05-16
spellingShingle Computing and Computers
Smirnov, I B
LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis
title LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis
title_full LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis
title_fullStr LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis
title_full_unstemmed LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis
title_short LikelihoodLib - Fitting, Function Maximization, and Numerical Analysis
title_sort likelihoodlib - fitting, function maximization, and numerical analysis
topic Computing and Computers
url http://cds.cern.ch/record/502787
work_keys_str_mv AT smirnovib likelihoodlibfittingfunctionmaximizationandnumericalanalysis