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» Constrained Optimization and Lagrange Multiplier Methods
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ICML
2003
IEEE
14 years 6 months ago
SimpleSVM
We present a fast iterative support vector training algorithm for a large variety of different formulations. It works by incrementally changing a candidate support vector set usin...
S. V. N. Vishwanathan, Alex J. Smola, M. Narasimha...
SIAMJO
2010
136views more  SIAMJO 2010»
13 years 23 days ago
A New Exchange Method for Convex Semi-Infinite Programming
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
Liping Zhang, Soon-Yi Wu, Marco A. López
TSP
2010
13 years 21 days ago
Sequential and cooperative sensing for multi-channel cognitive radios
Effective spectrum sensing is a critical prerequisite for multi-channel cognitive radio (CR) networks, where multiple spectrum bands are sensed to identify transmission opportuniti...
Seung-Jun Kim, Georgios B. Giannakis
ICCAD
1997
IEEE
112views Hardware» more  ICCAD 1997»
13 years 10 months ago
Circuit optimization via adjoint Lagrangians
The circuit tuning problem is best approached by means of gradient-based nonlinear optimization algorithms. For large circuits, gradient computation can be the bottleneck in the o...
Andrew R. Conn, Ruud A. Haring, Chandramouli Viswe...
ISCAS
2006
IEEE
145views Hardware» more  ISCAS 2006»
14 years 1 days ago
The wordlength determination problem of linear time invariant systems with multiple outputs - a geometric programming approach
This paper proposes two new methods for optimizing objectives and constraints. The GP approach is very general and hardware resources in finite wordlength implementation of it allo...
S. C. Chan, K. M. Tsui