| 2009 |
|---|
| 25 | EE | James M. Calvin:
Adaptive Global Search.
Encyclopedia of Optimization 2009: 19-21 |
| 2007 |
|---|
| 24 | EE | James M. Calvin:
Low bias integrated path estimators.
Winter Simulation Conference 2007: 303-307 |
| 23 | EE | James M. Calvin:
Simulation output analysis using integrated paths.
ACM Trans. Model. Comput. Simul. 17(3): (2007) |
| 22 | EE | James M. Calvin:
A lower bound on complexity of optimization on the Wiener space.
Theor. Comput. Sci. 383(2-3): 132-139 (2007) |
| 2006 |
|---|
| 21 | EE | James M. Calvin:
Experimental evaluation of integrated path estimators.
Winter Simulation Conference 2006: 329-332 |
| 20 | EE | James M. Calvin,
Peter W. Glynn,
Marvin K. Nakayama:
The semi-regenerative method of simulation output analysis.
ACM Trans. Model. Comput. Simul. 16(3): 280-315 (2006) |
| 2004 |
|---|
| 19 | EE | James M. Calvin:
Simulation Output Analysis Based on Excursions.
Winter Simulation Conference 2004: 681-684 |
| 18 | EE | James M. Calvin,
Marvin K. Nakayama:
Permuted Weighted Area Estimators.
Winter Simulation Conference 2004: 721-727 |
| 17 | EE | James M. Calvin,
Marvin K. Nakayama:
Permuted derivative and importance-sampling estimators for regenerative simulations.
European Journal of Operational Research 156(2): 390-414 (2004) |
| 16 | EE | James M. Calvin:
Lower bound on complexity of optimization of continuous functions.
J. Complexity 20(5): 773-795 (2004) |
| 2003 |
|---|
| 15 | EE | James M. Calvin,
Joseph Y.-T. Leung:
Average-case analysis of a greedy algorithm for the 0/1 knapsack problem.
Oper. Res. Lett. 31(3): 202-210 (2003) |
| 2002 |
|---|
| 14 | EE | James M. Calvin,
Marvin K. Nakayama:
Output analysis: a comparison of output-analysis methods for simulations of processes with multiple regeneration sequences.
Winter Simulation Conference 2002: 328-335 |
| 2001 |
|---|
| 13 | EE | James M. Calvin:
Efficient simulation for discrete path-dependent option pricing.
Winter Simulation Conference 2001: 325-328 |
| 12 | EE | James M. Calvin,
Marvin K. Nakayama:
Improving standardized time series methods by permuting path segments.
Winter Simulation Conference 2001: 348-353 |
| 11 | EE | James M. Calvin,
Peter W. Glynn,
Marvin K. Nakayama:
Steady state simulation analysis: importance sampling using the semi-regenerative method.
Winter Simulation Conference 2001: 441-450 |
| 10 | EE | James M. Calvin:
A One-Dimensional Optimization Algorithm and Its Convergence Rate under the Wiener Measure.
J. Complexity 17(2): 306-344 (2001) |
| 1999 |
|---|
| 9 | EE | James M. Calvin,
Peter W. Glynn,
Marvin K. Nakayama:
On the small-sample optimality of multiple-regeneration estimators.
Winter Simulation Conference 1999: 655-661 |
| 8 | EE | James M. Calvin:
Polynomial acceleration of Monte-Carlo global search.
Winter Simulation Conference 1999: 673-677 |
| 1998 |
|---|
| 7 | EE | James M. Calvin,
Marvin K. Nakayama:
Exploiting Multiple Regeneration Sequences in Simulation Output Analysis.
Winter Simulation Conference 1998: 695-700 |
| 6 | EE | James M. Calvin,
Marvin K. Nakayama:
Using Permutations in Regenerative Simulations to Reduce Variance.
ACM Trans. Model. Comput. Simul. 8(2): 153-193 (1998) |
| 1997 |
|---|
| 5 | EE | James M. Calvin,
Marvin K. Nakayama:
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains.
Winter Simulation Conference 1997: 224-229 |
| 4 | EE | Hisham A. Al-Mharmah,
James M. Calvin:
Comparison of Monte Carlo and Deterministic Methods for Non-Adaptive Optimization.
Winter Simulation Conference 1997: 348-351 |
| 1994 |
|---|
| 3 | EE | James M. Calvin:
Average performance of Monte Carlo and Quasi-Monte Carlo methods for global optimization.
Winter Simulation Conference 1994: 262-265 |
| 2 | EE | Sigrún Andradóttir,
James M. Calvin,
Peter W. Glynn:
Increasing the frequency of regeneration for Markov processes.
Winter Simulation Conference 1994: 320-323 |
| 1993 |
|---|
| 1 | | James M. Calvin,
Alan Dickens,
Bob Gaines,
Paul Metzger,
Dale Miller,
Dan Owen:
The Simnet Virtual World Architecture.
VR 1993: 450-455 |
