1975
DOI: 10.1016/0010-4655(75)90039-9
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Minuit - a system for function minimization and analysis of the parameter errors and correlations

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Cited by 3,231 publications
(2,156 citation statements)
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References 6 publications
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“…In methods, B, D, and F, ks and k6 were set to cerebellar values found at each specific activity. In all techniques, Bmax and other model parameters were fitted using a system for function optimization (James and Roos, 1976). The simplex algo rithm (NeIder and Mead, 1965) and subsequently the vari able metric method of Fletcher (1970) were used as opti mization techniques.…”
Section: Discussionmentioning
confidence: 99%
“…In methods, B, D, and F, ks and k6 were set to cerebellar values found at each specific activity. In all techniques, Bmax and other model parameters were fitted using a system for function optimization (James and Roos, 1976). The simplex algo rithm (NeIder and Mead, 1965) and subsequently the vari able metric method of Fletcher (1970) were used as opti mization techniques.…”
Section: Discussionmentioning
confidence: 99%
“…Equation 2 was then fitted to the time-activity data se- quentially sampled within each of those regions as de scribed previously, utilizing an advanced system for fast function minimization (James and Roos, 1976) that offers three different optimization methods: (a) a Monte Carlo search routine that may be used at the beginning of a fit, if no reasonable starting point is known; (b) a simplex method that is reasonably fast when starting far away from minimum; (c) a gradient search method that is ex tremely fast in the vicinity of a minimum. In addition to the dynamic method, regional activities recorded from 30 to 40 min after [lsF]FDG injection were used to compute CMRGlc according to the various single-scan ap proaches, and the graphic analysis was applied to the data collected between 18 and 40 min after injection.…”
Section: Methodsmentioning
confidence: 99%
“…For multi-dimensional fits, we decided to use the MINUIT algorithm [8], the primary fitting package used in experimental particle physics, which is available through the ROOT framework [2]. The MINUIT package was developed in 1970s to provide several different approaches to function minimization, including several tools for error estimation and parameter-correlation calculation.…”
Section: State Of Artmentioning
confidence: 99%
“…We then use algorithms from the MINUIT package [8], available through the ROOT framework [2], to fit this linear approximation at point x 1...n of our model to the data. The second derivative (quadratic dependence) can be introduced as well:…”
Section: Approximating the Modelmentioning
confidence: 99%