Development of Low Shrinkage Material for Saddle-saddle Type Deflection Yoke Core.
نویسندگان
چکیده
منابع مشابه
SADDLE POINT VARIATIONAL METHOD FOR DIRAC CONFINEMENT
A saddle point variational (SPV ) method was applied to the Dirac equation as an example of a fully relativistic equation with both negative and positive energy solutions. The effect of the negative energy states was mitigated by maximizing the energy with respect to a relevant parameter while at the same time minimizing it with respect to another parameter in the wave function. The Cornell pot...
متن کاملIntegrated Internal Stabilization for Saddle Nose Surgery
Introduction: Correction of Saddle nose deformity is one of the most challenging issues in facial plastic surgery. Materials and Methods: In this study, a single structure in the form of L-strut was attempted to be created by using one 0.035" Kirschner wire and an autologous costal graft out of the 10th and 11th ribs. This study involved 13 cases, most of whom were traumatic. The corrective ...
متن کاملSaddle-Point Dynamics: Conditions for Asymptotic Stability of Saddle Points
This paper considers continuously differentiable functions of two vector variables that have (possibly a continuum of) min-max saddle points. We study the asymptotic convergence properties of the associated saddle-point dynamics (gradient-descent in the first variable and gradientascent in the second one). We identify a suite of complementary conditions under which the set of saddle points is a...
متن کاملComputing Slow Manifolds of Saddle Type
Slow manifolds are important geometric structures in the state spaces of dynamical systems with multiple time scales. This paper introduces an algorithm for computing trajectories on slow manifolds that are normally hyperbolic with both stable and unstable fast manifolds. We present two examples of bifurcation problems where these manifolds play a key role and a third example in which saddle-ty...
متن کاملSaddle Points
To compute the maximum likelihood estimates the log-likelihood function L is maximized with respect to all model parameters. To check that the maximization has been achieved two things have to be satisfied: 1. The vector of first derivatives with respect to the model parameter L′ should be equal to 0. 2. The negative of the matrix of the second derivatives −L′′ should be a positive definite mat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Japan Society of Powder and Powder Metallurgy
سال: 1996
ISSN: 0532-8799,1880-9014
DOI: 10.2497/jjspm.43.1101