Results 231 to 240 of about 993,116 (266)
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Increased sensitivity and localization in microspectral analysis of alloys
Journal of Applied Spectroscopy, 1967Methods of improving the sensitivity and localization are developed, which are based on restricting the discharge area with corundum rings. These two features are shown to be dependent on the shape and initial diameter of the ring, the duration of the discharge, and the parameters of the power supply.
B. G. Voronov, A. A. Samoilova
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Local Sensitivity Analysis and Matrix Derivatives
1982This paper discusses two types of matrix by matrix derivatives; the B-type derivative, introduced by Balestra (1976) and the new defined A-type derivative, because of the arrangement in a “anti-Kronecker” type fashion. Both types of derivatives are linked by permutation matrices (also called commutation matrices by Magnus & Neudecker (1979)), a special
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Adjoint-Based Local Sensitivity Analysis
2018This chapter introduces the adjoint operator equations for local sensitivity analysis, an intrusive method for sensitivity analysis. Section 6.1 introduces the adjoint operator and demonstrates that for a somewhat general class of QoIs, a QoI can be written as an inner product of the adjoint equations.
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Geometric sensitivity analysis with local coordinate transformations
Communications in Applied Numerical Methods, 1988AbstractThe dimensionality of truss, beam, membrane and shell finite elements is often less than that of the global co‐ordinate system, and element calculations must be performed in local co‐ordinates. Design parameters which affect the nodal co‐ordinates in such elements control both the element dimensions and orientation, and element design ...
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Local Sensitivity Analysis Based on Derivative Approximations
2018This is the first of three successive chapters on the topic of sensitivity analysis, i.e., determining which variables a scalar quantity of interest depends on most strongly. Chapter explores using derivatives as local indicators of sensitivity based on finite difference approximations of first and second-order Taylor expansions.
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A fuzzy and locally sensitive method for cluster analysis
Proceedings of Third Australian and New Zealand Conference on Intelligent Information Systems. ANZIIS-95, 2002Cluster analysis has been playing an important role in pattern recognition, image processing and time series analysis. The majority of the existing clustering algorithms depend on initial parameters and assumptions about the underlying data structure. A fuzzy method of mode separation is proposed.
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Local hyperthermia therapy induces browning of white fat and treats obesity
Cell, 2022Yu Li, Mingwei Guo, Dali Li
exaly