P. Khademi

发表

Efficient computation of gradients and Jacobians by dynamic exploitation of sparsity in automatic differentiation

C. Bischof, P. Khademi, Ali Buaricha, 1996 .

Computing Gradients in Large-Scale Optimization Using Automatic Differentiation

Christian H. Bischof, Jorge J. Moré, Peyvand M. Khademi, 1997, INFORMS J. Comput..

Eecient Computation of Gradients and Jacobians by Transparent Exploitation of Sparsity in Automatic Diierentiation Eecient Computation of Gradients and Jacobians by Transparent Exploitation of Sparsity in Automatic Diierentiation

C. Bischof, P. Khademi, A. Bouaricha, 2007 .

Adifor 2.0: automatic differentiation of Fortran 77 programs

Christian Bischof, Alan Carle, P. Khademi, 1996 .

ADIFOR 2.0 user`s guide (Revision B)

Paul D. Hovland, Alan Carle, P. Khademi, 1995 .

The ADIFOR 2.0 system for the automatic differentiation of Fortran 77 programs

Christian Bischof, Alan Carle, P. Khademi, 1997 .

Eecient Computation of Gradients and Jacobians by Dynamic Exploitation of Sparsity in Automatic Diierentiation

C. Bischof, P. Khademi, A. Bouaricha, 1996 .

Automatic Differentiation: Obtaining Fast and Reliable Derivatives — Fast

Christian Bischof, Gordon D. Pusch, Alan Carle, 1995 .

Automatic Differentiation: Obtaining Fast and Reliable Derivatives — Fast

G. Pusch, C. Bischof, P. Khademi, 1995 .

Model and Simulation of a Simplified Cerebellar Neural Network for Classical Conditioning of the Rabbit Eye-blink Response

E. K. Blum, Richard F. Thompson, P. M. Khademi, 1993 .

First Theory Institute on Computational Differentiation

Andreas Griewank, Christian Bischof, P. M. Khademi, 1993 .

CAJAL: A Simulator for Neurobiological Networks

E. K. Blum, P. K. Leung, P. M. Khademi, 1994 .

ADIFOR working note No. 11: ADIFOR strategies related to POINTER usage in MM5

Christian Bischof, P. Khademi, T. Knauff, 1994 .

Automatic Differentiation: Obtaining Fast and Reliable Derivatives — Fast

G. Pusch, C. Bischof, P. Khademi, 1995 .

Automatic Diierentiation: Obtaining Fast and Reliable Derivatives -fast Automatic Diierentiation: Obtaining Fast and Reliable Derivatives { Fast

P. Khademi, A. Carle, M. Khademi, 1994 .

The ADIFOR 2 . 0 System for theAutomatic Di erentiation ofFortran 77

P. Khademi, A. Mauer, A. Carle, 1994 .

Timing the ISI in Rabbit Eyeblink Conditioning — A Cerebellar Neural Model of a Neuromotor Timing Mechanism

Richard F. Thompson, P. Khademi, E. Blum, 1994 .