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Computing Optimal Designs of multiresponse Experiments reduces to
  Second-Order Cone Programming

Computing Optimal Designs of multiresponse Experiments reduces to Second-Order Cone Programming

30 December 2009
G. Sagnol
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Papers citing "Computing Optimal Designs of multiresponse Experiments reduces to Second-Order Cone Programming"

3 / 3 papers shown
Title
A geometric characterization of $c$-optimal designs for heteroscedastic
  regression
A geometric characterization of ccc-optimal designs for heteroscedastic regression
Holger Dette
T. Holland-Letz
63
34
0
19 Nov 2009
Monotonic convergence of a general algorithm for computing optimal
  designs
Monotonic convergence of a general algorithm for computing optimal designs
Yaming Yu
71
125
0
18 May 2009
Improvements on removing non-optimal support points in D-optimum design
  algorithms
Improvements on removing non-optimal support points in D-optimum design algorithms
Radoslav Harman
L. Pronzato
192
68
0
29 Jun 2007
1