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SIAMJO
2000
67views more  SIAMJO 2000»
13 years 9 months ago
Gradient Convergence in Gradient methods with Errors
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
Dimitri P. Bertsekas, John N. Tsitsiklis
SIAMJO
2010
89views more  SIAMJO 2010»
13 years 4 months ago
A New Sequential Optimality Condition for Constrained Optimization and Algorithmic Consequences
Necessary first-order sequential optimality conditions provide adequate theoretical tools to justify stopping criteria for nonlinear programming solvers. These conditions are sati...
Roberto Andreani, José Mario Martíne...
ISCAS
2007
IEEE
179views Hardware» more  ISCAS 2007»
14 years 4 months ago
Analysis for Signal and Power Integrity Using the Multilayered Finite Difference Method
— We present a method for fast analysis of signal and power integrity based on a recently developed multilayered finite difference method (M-FDM). In order to accurately model m...
Ege Engin, Krishna Bharath, Madhavan Swaminathan
ATAL
2005
Springer
14 years 3 months ago
Towards a theory of "local to global" in distributed multi-agent systems (I)
There is a growing need for a theory of “local to global” in distributed multi-agent systems, one which is able systematically to describe and analyze a variety of problems. T...
Daniel Yamins
TACS
1994
Springer
14 years 2 months ago
Full Abstraction for PCF
traction for PCF1 Samson.Abramsky2 University of Edinburgh and Radha Jagadeesan3 Loyola University Chicago and Pasquale Malacaria4 Queen Mary and Westfield College An intensional m...
Samson Abramsky, Pasquale Malacaria, Radha Jagadee...