Process decomposition method with reachable vector.
نویسندگان
چکیده
منابع مشابه
Linear Convergence of a Decomposition Method for Support Vector Machines
Recently the asymptotic convergence of some commonly used decomposition methods for support vector machines has been established. However, their local convergence rates are still unknown. In this paper, under the assumptions that the kernel matrix is positive definite and the problem is non-degenerate, we prove the linear convergence of a popular decomposition method.
متن کاملPlanning with Reachable Distances
Motion planning for spatially constrained robots is difficult due to additional constraints placed on the robot, such as closure constraints for closed chains or requirements on end effector placement for articulated linkages. It is usually computationally too expensive to apply sampling-based planners to these problems since it is difficult to generate valid configurations. We overcome this ch...
متن کاملconstruction of vector fields with positive lyapunov exponents
in this thesis our aim is to construct vector field in r3 for which the corresponding one-dimensional maps have certain discontinuities. two kinds of vector fields are considered, the first the lorenz vector field, and the second originally introced here. the latter have chaotic behavior and motivate a class of one-parameter families of maps which have positive lyapunov exponents for an open in...
15 صفحه اولModelling Families of Business Process Variants: A Decomposition Driven Method
Business processes usually do not exist as singular entities that can be managed in isolation, but rather as families of business process variants. When modelling such families of variants, analysts are confronted with the choice between modelling each variant separately, or modeling multiple or all variants in a single model. Modelling each variant separately leads to a proliferation of models...
متن کاملProcess Model Discovery: A Method Based on Transition System Decomposition
Process mining aims to discover and analyze processes by extracting information from event logs. Process mining discovery algorithms deal with large data sets to learn automatically process models. As more event data become available there is the desire to learn larger and more complex process models. To tackle problems related to the readability of the resulting model and to ensure tractabilit...
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 CHEMICAL ENGINEERING OF JAPAN
سال: 1992
ISSN: 0021-9592,1881-1299
DOI: 10.1252/jcej.25.28