Isbn: 9786131261114 - parameter space: calculus, parametric array, transducer, sound wave, diffraction limit (4 Ergebnisse)

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The term parameter space as used in data-fitting (see for example 'Data Reduction and Error Analysis for the Physical Sciences' by Bevington and Robinson), refers to the hypothetical space where a 'location' is defined by the values of all optimizable parameters. For example, if we fit data using a function which has 10 optimizable parameters, each of these parameters is seen as a dimension and the parameter space in this case is 10-dimensional. Every 'location' then corresponds to a (chi-squared) value indicating the goodness-of-fit, hence we have a 'field' in our 10-dimensional space. Following this 'field' downwards leads us to the 'location' in parameter space with the lowest , i.e. the optimum parameter values. 64 pp. Englisch.…

Taschenbuch. Zustand: Neu. Parameter Space | Calculus, Parametric Array, Transducer, Sound Wave, Diffraction Limit | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131261114 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The termparameter space as used in data-fitting (see for example 'Data Reductionand Error Analysis for the Physical Sciences' by Bevington andRobinson), refers to the hypothetical space where a 'location' isdefined by the values of all optimizable parameters. For example, if wefit data using a function which has 10 optimizable parameters, each ofthese parameters is seen as a dimension and the parameter space in thiscase is 10-dimensional. Every 'location' then corresponds to a ¿ (chi-squared) value indicating the goodness-of-fit, hence we have a'field' in our 10-dimensional space. Following this 'field' downwardsleads us to the 'location' in parameter space with the lowest ¿ , i.e.the optimum parameter values.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The term parameter space as used in data-fitting (see for example 'Data Reduction and Error Analysis for the Physical Sciences' by Bevington and Robinson), refers to the hypothetical space where a 'location' is defined by the values of all optimizable parameters. For example, if we fit data using a function which has 10 optimizable parameters, each of these parameters is seen as a dimension and the parameter space in this case is 10-dimensional. Every 'location' then corresponds to a (chi-squared) value indicating the goodness-of-fit, hence we have a 'field' in our 10-dimensional space. Following this 'field' downwards leads us to the 'location' in parameter space with the lowest , i.e. the optimum parameter values.…