• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 3,181
Next 10 →

SOME STRONG DIFFERENTIAL SUBORDINATIONS USING A NEW GENERALIZED MULTIPLIER TRANSFORMATION

by Acta Universitatis Apulensis, S. R. Swamy
"... Abstract. The object of this paper is to obtain some strong subordination results regarding a new class S m n (α, β, ρ) defined by using a new generalized multiplier transformation. ..."
Abstract - Add to MetaCart
Abstract. The object of this paper is to obtain some strong subordination results regarding a new class S m n (α, β, ρ) defined by using a new generalized multiplier transformation.

ESTIMAT ION IN THE GENERAL MULTIPLI CATIVE MODEL FOR SURVIVAL

by Norman L. Johnson, Department Of Statistics, Regina C
"... The general multiplicative model (formula (2)) represents the hazard function as the product of an “underlying ” hazard rate, A(t), of unspecified form and a certain function of known form, g(z; 8), where z is a vector of concomitant variables, and ~ is a vector of unknown parameters. Assuming that ..."
Abstract - Add to MetaCart
The general multiplicative model (formula (2)) represents the hazard function as the product of an “underlying ” hazard rate, A(t), of unspecified form and a certain function of known form, g(z; 8), where z is a vector of concomitant variables, and ~ is a vector of unknown parameters. Assuming

Automatically tuned linear algebra software

by R. Clint Whaley, Jack J. Dongarra - CONFERENCE ON HIGH PERFORMANCE NETWORKING AND COMPUTING , 1998
"... This paper describes an approach for the automatic generation and optimization of numerical software for processors with deep memory hierarchies and pipelined functional units. The production of such software for machines ranging from desktop workstations to embedded processors can be a tedious and ..."
Abstract - Cited by 478 (26 self) - Add to MetaCart
and time consuming process. The work described here can help in automating much of this process. We will concentrate our e orts on the widely used linear algebra kernels called the Basic Linear Algebra Subroutines (BLAS). In particular, the work presented here is for general matrix multiply, DGEMM. However

Parametric robust H 2 control design with generalized multipliers via LMI synthesis

by David Banjerdpongchai, Jonathan P. How , 1998
"... A new combined analysis and synthesis procedure that provides a less conservative robust control design technique for systems with real parametric uncertainty is presented. The robust stability for these systems is analysed by the passivity theorem with generalized multipliers, and the worst case H2 ..."
Abstract - Add to MetaCart
A new combined analysis and synthesis procedure that provides a less conservative robust control design technique for systems with real parametric uncertainty is presented. The robust stability for these systems is analysed by the passivity theorem with generalized multipliers, and the worst case H

On the assessment of surface heat flux and evaporation using large scale parameters

by C. H. B. Priestley - Mon. Weather Rev , 1972
"... ABSTRACT-In an introductory review it is reemphasized that the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitable over the sea. A general fra ..."
Abstract - Cited by 357 (0 self) - Add to MetaCart
ABSTRACT-In an introductory review it is reemphasized that the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitable over the sea. A general

multiply

by Taha Sochi
"... Using the stress function in the flow of generalized ..."
Abstract - Add to MetaCart
Using the stress function in the flow of generalized

Parametric robust H_2 control design with generalized multipliers via LMI Synthesis

by David Banjerdpongchai, Jonathan P. How , 1998
"... ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
Abstract not found

Boundary stabilization and control of wave equations by means of a

by Pierre Cornilleau, Jean-pierre Loh Éac , 903
"... general multiplier method. ..."
Abstract - Add to MetaCart
general multiplier method.

General Diagnostic Tests for Cross Section Dependence

by M. Hashem Pesaran - in Panels, CESifo Working Paper Series No. 1229; IZA Discussion Paper No
"... This paper proposes simple tests of error cross section dependence which are applicable to a variety of panel data models, including stationary and unit root dynamic heterogeneous panels with short T and large N. The proposed tests are based on average of pair-wise correlation coefficients of the OL ..."
Abstract - Cited by 247 (20 self) - Add to MetaCart
and compared to the Lagrange multiplier test of Breusch and Pagan using Monte Carlo experiments. It is shown that the tests have the correct size in very small samples and satisfactory power, and as predicted by the theory, quite robust to the presence of unit roots and structural breaks. The use of the CD

LAGRANGE MULTIPLIERS AND OPTIMALITY

by R. Tyrrell Rockafellar , 1993
"... Lagrange multipliers used to be viewed as auxiliary variables introduced in a problem of constrained minimization in order to write first-order optimality conditions formally as a system of equations. Modern applications, with their emphasis on numerical methods and more complicated side conditions ..."
Abstract - Cited by 122 (7 self) - Add to MetaCart
-theoretic role of multiplier vectors as solutions to a dual problem. Interpretations as generalized derivatives of the optimal value with respect to problem parameters have also been explored. Lagrange multipliers are now being seen as arising from a general rule for the subdifferentiation of a nonsmooth
Next 10 →
Results 1 - 10 of 3,181
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University