We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
Most local convergence analyses of the sequential quadratic programming (SQP) algorithm for nonlinear programming make strong assumptions about the solution, namely, that the activ...
Traditionally, analytic placement used linear or quadratic wirelength objective functions. Minimizing either formulation attracts cells sharing common signals (nets) together. The...
We propose a new multilevel framework for large-scale placement called MAPLE that respects utilization constraints, handles movable macros and guides the transition between global...
Myung-Chul Kim, Natarajan Viswanathan, Charles J. ...
Abstract-Recently, the duality between Multiple Input Multiple Output (MIMO) Multiple Access Channels (MAC) and MIMO Broadcast Channels (BC) has been established under a total powe...
Vincent Le Nir, Marc Moonen, Jan Verlinden, Mamoun...