Book Chapters

1. Y. Chahlaoui, K. A. Gallivan, A. Vandendorpe, and P. Van Dooren. Model Reduction of Second Order Systems. Dimension Reduction of Large-scale Systems, Lecture Notes in Computational Science and Engineering, Vol. 45, Springer-Verlag, P. Benner, V. Mehrmann, D. Sorensen, Eds., 2005, pp. 149-172.
   
   
2. A. Antoulas, D. Sorensen, K. A. Gallivan, P. Van Dooren, A. Grama, C. Hoffmann, and A. Sameh. Model Reduction and Real-time Control Dynamic Data Driven Systems. To appear in: Dynamic Data Driven Application Systems, Kluwer Academic Publishers, Amsterdam, F. Darema, Ed.
   
   
3. Kyle A. Gallivan, Ahmed H. Sameh and Zahari Zlatev. Comparison of Ten Methods for the Solution of Large and Sparse Linear Algebraic Systems. In: Numerical Methods and Applications, Lecture Notes of Computer Science 2542. Springer, Berlin-Heidelberg, 2003, pp. 24-35, I. Dimov, I. Lirkov, S. Margenov and Z. Zlatev, Eds.
   
   
4. Y. Chahlaoui, P. Van Dooren, and K. A. Gallivan. Incremental Methods for Computing Dominant Singular Spaces. In: 2000 Computational Information Retrieval Workshop, SIAM, Philadelphia, 2001, pp. 61 - 71, M. Berry, Ed.
   
   
5. L. DeRose, B. Marsolf, K. Gallivan, E. Gallopoulos and D. Padua. Design Issues in a MATLAB-based Environment for Numerical Program Development. In: Enabling Technologies For Computational Science: Frameworks, Middleware, and Enviroments, Kluwer Academic, Boston, 2000, pp. 315-326, E. N. Houstis, J. R. Rice, E. Gallopoulos and R. Bramley, Eds.
   
   
6. K. A. Gallivan, E. Grimme and P. Van Dooren, Model reduction of large-scale systems: rational Krylov versus balancing techniques. In: Error Control and Adaptivity in Scientific Computing, Kluwer, Amsterdam, 1999, pp. 177-190, H. Bulgak and C. Zenger, Eds.
   
   
7. A. Veidenbaum, P.C. Yew, D. J. Kuck, C. D. Polychronopoulos, D. H. Padua, E.S. Davidson, and K. Gallivan. The Cedar System. In: 25 Years of the International Symposia on Computer Architecture, Selected Papers. ACM Press, 1998, pp. 89-91. (A retrospective paper invited based on a selection of influential computer architecture work of the past 25 years.)
   
   
8. E. Grimme, K. A. Gallivan, P. M. Van Dooren. On Some Recent Developments in Projection-based Model Reduction. In: ENUMATH 97, Second European Conference on Numerical Mathematics and Advanced Applications, Y. Kuznetsov and J. Périaux, World Scientific, Singapore, 1998, pp. 98-113, H. Bock, G. Kanschat, R. Rannacher, F. Brezzi, R. Glowinsky, Eds.
   
   
9. B. Marsolf, K. Gallivan, and E. Gallopoulos. The Interactive Restructuring of MATLAB Programs Using the FALCON Environment. In: Innovative Architecture for Future Generation High-Performance Processors and Systems, IEEE Computer Society Press, 1998, pp. 3-12, A. Veidenbaum and K. Joe, Eds.
   
   
10. A. Veidenbaum and K. A. Gallivan. Decoupled Access DRAM Architecture. In: Innovative Architecture for Future Generation High-Performance Processors and Systems, A. Veidenbaum and K. Joe, Eds., IEEE Computer Society Press, 1998, pp. 94-105.
    
    
11. K. A. Gallivan, B. A. Marsolf, A. Bik, and H. A. G. Wijshoff. The generation of optimized code using nonzero structure analysis. In: Lecture Notes on Computer Science No. 1336, Springer-Verlag, Berlin, 1997, pp. 1-29.
    
    
12. K. Gallivan, E. Grimme, D. Sorensen, and P. Van Dooren. On some modifications of the Lanczos algorithm and the relation with Padé approximations, In: Mathematical Research Series, Vol. 7, Akademie Verlag, Berlin, 1996, pp. 87-116.
    
    
13. L. DeRose, K. Gallivan, E. Gallopoulos, B. Marsolf, and D. Padua. FALCON: A MATLAB Interactive Restructuring Compiler. In: Languages and Compilers for Parallel Computing, C.H. Huang, et al., Eds., Springer-Verlag, Berlin, 1995, pp. 269-288.
    
    
14. Kyle Gallivan, Srikanth Thirumalai, and Paul Van Dooren, A Block Toeplitz Look-ahead Algorithm. In: SVD and Signal Processing III, Algorithms, Architectures and Applications, Elsevier, Amsterdam, 1995, pp. 199-206, M. Moonen and B. De Moor, Eds.
    
    
15. Tz.Ostromsky, Z.Zlatev, P.C.Hansen, and K.Gallivan. Reordering of Sparse Matrices and Application to a Parallel Sparse Linear System Solver. In: Scientific Computation and Mathematical Modeling, DATECS Publishing, Sofia, 1993, pp. 85-89, S. M. Markov, Ed.
    
    
16. K. Gallivan, W. Jalby, A. Malony, and H. Wijshoff. Performance Prediction for Parallel Numerical Algorithms. In: Parallel Computation, Oxford University Press, Oxford, 1993, pp. 81-113, A. E. Finchman and B. Ford, Eds.
    
    
17. L. DeRose, K. Gallivan and E. Gallopoulos. Status Report: Parallel Ocean Circulation on Cedar. In: Parallel Supercomputing in Atmospheric Science, World Scientific Publishers, Singapore, 1993 pp. 157-172, G.-R. Hoffmann and T. Kauranne, Eds.
    
    
18. K. Gallivan, A. Sameh, and Z. Zlatev. Parallel Direct Methods Codes For General Sparse Matrices. In: Computer Algorithms for Solving Linear Algebra Equations: The State of the Art (NATO ASI Il Ciocco 1990) , Publishing Centre of the University of Bergamo, 1991, pp. 141-166, E. Spedicato and M. T. Vespucci, Eds.
    
    
19. K. Gallivan and A. Sameh. Matrix Computations on Shared-Memory Multiprocessors. In: The Application of Advanced Computing Concepts and Techniques in Control Engineering, NATO ASI SERIES, Springer-Verlag, Berlin, 1988, pp. 289-359, M.J. Denham and A.J. Laub, Eds.
    
    
20. K. Gallivan, W. Jalby, A. Malony and P.-C. Yew. Performance Analysis on the CEDAR System. In: Performance Evaluation of Supercomputers, Elsevier Science (North-Holland), Amsterdam, The Netherlands, 1988, pp. 109-142, J.L. Martin, Ed.
    
    
21. C. W. Gear and K. Gallivan. Automatic Methods for Highly Oscillatory Ordinary Differential Equations. Lecture Notes in Mathematics No. 912: Numerical Analysis, Springer-Verlag, Berlin, 1981, pp. 115-124, A. Dold and B. Eckman, Eds.