نتایج جستجو برای: dual hyper k
تعداد نتایج: 549891 فیلتر نتایج به سال:
Human Perceptual Overestimation of Whole-Body Roll Tilt in Hyper-Gravity 1 2 Running title: Roll Perception in Hyper-Gravity 3 4 Torin K. Clark 5 Michael C. Newman 6 Charles M. Oman 7 Daniel M. Merfeld 8 Laurence R. Young 9 10 11 1 Man Vehicle Laboratory 12 Department of Aeronautics and Astronautics 13 Massachusetts Institute of Technology 14 Cambridge, MA, USA 15 16 2 Charles Stark Draper Labo...
Practical exploitation of optimal dual control (ODC) theory continues to be hindered by the difficulties involved in numerically solving the associated stochastic dynamic programming (SDPs) problems. In particular, high-dimensional hyper-states coupled with the nesting of optimizations and integrations within these SDP problems render their exact numerical solution computationally prohibitive. ...
In this paper, a methodological data condensation approach for reducing tabular big datasets in classification problems is presented, named FDR2-BD. The key of our proposal to analyze dual way (vertical and horizontal), so as provide smart combination between feature selection generate dense clusters uniform sampling reduction keep only few representative samples from each problem area. Its mai...
Gray & Hervella gave a classification of almost Hermitian structures (g, I) into 16 classes. We systematically study the interaction between these classes when one has an almost hyper-Hermitian structure (g, I, J,K). In general dimension we find at most 167 different almost hyper-Hermitian structures. In particular, we obtain a number of relations that give hyperKäher or locally conformal hyper...
The application of the fast gradient method to the dual QP leads to the Dual Fast Projected Gradient (DFPG) method. The DFPG converges with O ( k−2 ) rate, where k > 0 is the number of steps. At each step, it requires O(nm) operations. Therefore for a given ε > 0 an ε-approximation to the optimal dual function value
The well-known fuzzy c-means algorithm is an objective function based fuzzy clustering technique that extends the classical k-means method to fuzzy partitions. By replacing the Euclidean distance in the objective function other cluster shapes than the simple (hyper-)spheres of the fuzzy c-means algorithm can be detected, for instance ellipsoids, lines or shells of circles and ellipses. We propo...
Perfect 1-error correcting codes C in the hyper cube Zn 2 are considered. The possibilities for the number γ(C) of code words in a k-face γ of the hyper cube are discussed. It is shown that the possibilities for the number γ(C) depend on the dimension of the face γ, the rank of C and the dimension of the kernel of C. Especially we get an answer to a question of Sergey V. Avgustinovich whether t...
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