Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Most well-known algorithms for equational solving are based on quantifier elimination. This technique iteratively eliminates the innermost block of existential/universal quantifie...
Abstract. Computer simulations of realistic applications usually require solving a set of non-linear partial di erential equations PDEs over a nite region. The process of obtaini...
Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Bis...
In this paper, we describe a parallel solution scheme of inverse dynamics, and its application to flexible manipulators where elastic deformation and vibration normally occur in c...
This paper develops a nested iteration algorithm to solve time-dependent nonlinear systems of partial differential equations. For each time step, Newton’s method is used to form...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...