Zobrazeno 1 - 10
of 53
pro vyhledávání: '"John Hauser"'
Publikováno v:
Judgment and Decision Making, Vol 6, Pp 396-408 (2011)
Marketing science seeks to prescribe better marketing strategies (advertising, product development, pricing, etc.). To do so we rely on models of consumer decisions grounded in empirical observations. Field experience suggests that recognition-based
Externí odkaz:
https://doaj.org/article/5cde603a7f24402d96958f6235c284f4
Publikováno v:
Journal of Guidance, Control, and Dynamics. 45:638-650
Publikováno v:
Physical Review A. 105
Quantum optimal control is an important technology that enables fast state preparation and gate design. In the absence of an analytic solution, most quantum optimal control methods rely on an iterative scheme to update the solution estimate. At prese
We propose and test a new adaptive conjoint analysis method that draws on recent polyhedral “interior-point” developments in mathematical programming. The method is designed to offer accurate estimates after relatively few questions in problems i
Externí odkaz:
http://hdl.handle.net/1721.1/3800
Publikováno v:
Marketing Science. 25(6):687-717
Innovation is one of the most important issues in business research today. It has been studied in many independent research traditions. Our understanding and study of innovation can benefit from an integrative review of these research traditions. In
Autor:
John Hauser
Throughout this work, we have developed important insights into the nature of trajectory functionals and their minimization. Second order properties of the trajectory functionals have helped us to discover cases where one would expect a functional to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c213bf4f6b025d039b2c9b26d8d402e0
https://doi.org/10.21236/ada577236
https://doi.org/10.21236/ada577236
Autor:
Ricardo Morin, Alex Fit-Florea, Anthony Wood, Marius Cornea, Marc Daumas, Jason Riedy, Steven R. Carlough, Stuart Oberman, Jon Okada, Paul Zimmermann, Tom Pittman, John Hauser, Chris N. Hinds, Chip Freitag, Mahesh Bhat, Graydon Hoare, Matthew Applegate, M. F. Cowlishaw, David Bindel, Sylvie Boldo, Chuck Stevens, David H. Bailey, James W. Thomas, Stephen Canon, Don Senzig, Umit Yalcinalp, Yozo Hida, David Scott, Brandon Thompson, Pamela J. Taylor, Michel Hack, Jeff Kidder, Laurent Fournier, Richard J. Fateman, Ron Smith, Neil Toda, Liang Wang, David Gustafson, Ivan Godard, Plamen Koev, Craig Nelson, Roger A. Golliver, Ren-Cang Li, Rick James, J. P. Fasano, John Kapernick, David W. Matula, Ian Ollmann, Michael Siu, Peter Markstein, Jerry Huck, Dileep Bhandarkar, John H. Crawford, Peter Tang, Dan Zuras, Mark A. Erle, Scott Westbrook, Fred Zemke, Warren E. Ferguson, Raymond Mak, David G. Hough, Wendy Thrash, David V. James, Guillaume Melquiond, Steve Winkler, Richard Karpinski, Mark Davis, Zhishun A. Liu, James Demmel, Bob Davis, Eric Feng, Leonard Tsai, Steve Bass, William Kahan, Michael Parks, Jim Hull, John R. Harrison, Nobuyoshi Mori, Fred Tydeman, Dick Delp, Joseph D. Darcy, Debjit Das Sarma, Eric M. Schwarz, Ilya Sharapov, Ned Nedialkov, Eric Postpischil, Michael Ingrassia, Son Dao Trong, Jim Shearer, Charles Tsen, Alex Aiken, Hossam A. H. Fahmy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc6e5cdbb221dff0bdcb314ff3a21cd9
https://doi.org/10.1109/ieeestd.2008.4610935
https://doi.org/10.1109/ieeestd.2008.4610935
Autor:
John Hauser, Chung Choo Chung
Publikováno v:
Proceedings of 1994 American Control Conference - ACC '94.
Studies nonlinear state feedback H/sub /spl infin// control of periodic orbits. The authors develop a nonlinear analogy of the current state space theory of H/sub /spl infin// control, namely the solution of the state feedback H/sub /spl infin// cont
Autor:
Richard M. Murray, John Hauser, Ali Jadbabaie, Mark B. Milam, Nicolas Petit, William B. Dunbar, Ryan Franz
Publikováno v:
Software-Enabled Control
An advanced control technology that has had tremendous practical impact over the last two decades or so is model predictive control (MPC). By embedding an optimization solution in each sampling instant within the control calculation, MPC applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acd8b6ed1317c06cfd4e84b71477b5ac
https://doi.org/10.1002/047172288x.ch9
https://doi.org/10.1002/047172288x.ch9