It is well-known that two-level and multi-level preconditioned conjugate gradient (PCG) methods provide efficient techniques for solving large and sparse linear systems whose coeff...
J. M. Tang, S. P. MacLachlan, Reinhard Nabben, C. ...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Most modern compilers operate by applying a fixed, program-independent sequence of optimizations to all programs. Compiler writers choose a single “compilation sequence”, or ...
L. Almagor, Keith D. Cooper, Alexander Grosul, Tim...
The Simulink/Stateflow (SL/SF) environment from Mathworks is becoming the de facto standard in industry for model based development of embedded control systems. Many commercial to...
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...