Results 221 to 230 of about 265,361 (282)
A New Estimation Algorithm for Destructive Cure Model: Illustration with Exponentially Weighted Poisson Competing Risks. [PDF]
Commun Stat Simul ComputPal S, Roy S.
europepmc +1 more source
Synthesis and Characterisation of Bioactive Fluorescent FITC-Insulin Glulisine Conjugates for Potential Use in Insulin Delivery. [PDF]
PharmaceuticsDesai UJ +12 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
WIREs Computational Statistics, 2001
AbstractThe conjugate gradient (CG) method for optimization and equation solving is described, along with three principal families of algorithms derived from it. In each case, a foundational CG algorithm is formulated mathematically and followed by a brief discussion of refinements and variants within its family.
Saul I. Gass, Carl M. Harris
openaire +2 more sources
AbstractThe conjugate gradient (CG) method for optimization and equation solving is described, along with three principal families of algorithms derived from it. In each case, a foundational CG algorithm is formulated mathematically and followed by a brief discussion of refinements and variants within its family.
Saul I. Gass, Carl M. Harris
openaire +2 more sources
Block-conjugate-gradient method
Physical Review D, 1989It is shown that by using the block-conjugate-gradient method several, say {ital s}, columns of the inverse Kogut-Susskind fermion matrix can be found simultaneously, in less time than it would take to run the standard conjugate-gradient algorithm {ital s} times. The method improves in efficiency relative to the standard conjugate-gradient algorithm as
openaire +2 more sources
Pseudoinversus and conjugate gradients
Communications of the ACM, 1975This paper is devoted to the study of connections between pseudoinverses of matrices and conjugate gradients and conjugate direction routines.
openaire +1 more source
2005
We propose a novel variant of conjugate gradient based on the Reproducing Kernel Hilbert Space (RKHS) inner product. An analysis of the algorithm suggests it enjoys better performance properties than standard iterative methods when applied to learning kernel machines.
Ratliff, Nathan, J. Andrew Bagnell
openaire +1 more source
We propose a novel variant of conjugate gradient based on the Reproducing Kernel Hilbert Space (RKHS) inner product. An analysis of the algorithm suggests it enjoys better performance properties than standard iterative methods when applied to learning kernel machines.
Ratliff, Nathan, J. Andrew Bagnell
openaire +1 more source
2019
Our interest in the conjugate gradient methods is twofold. First, they are among the most useful techniques to solve a large system of linear equations. Second, they can be adopted to solve large nonlinear optimization problems. In the previous chapters, we studied two important methods for finding a minimum point of real-valued functions of n real ...
Shashi Kant Mishra, Bhagwat Ram
openaire +1 more source
Our interest in the conjugate gradient methods is twofold. First, they are among the most useful techniques to solve a large system of linear equations. Second, they can be adopted to solve large nonlinear optimization problems. In the previous chapters, we studied two important methods for finding a minimum point of real-valued functions of n real ...
Shashi Kant Mishra, Bhagwat Ram
openaire +1 more source