James M. Calvin

According to our database1, James M. Calvin authored at least 49 papers between 1988 and 2019.

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Bibliography

2019
Bi-objective decision making in global optimization based on statistical models.
J. Global Optimization, 2019

2018
On convergence rate of a rectangular partition based global optimization algorithm.
J. Global Optimization, 2018

2017
Adaptive approximation of the minimum of Brownian motion.
J. Complexity, 2017

2016
Probability Models in Global Optimization.
Informatica, Lith. Acad. Sci., 2016

On the Asymptotic Tractability of Global Optimization.
Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015
Resampled Regenerative Estimators.
ACM Trans. Model. Comput. Simul., 2015

2014
On a Global Optimization Algorithm for Bivariate Smooth Functions.
J. Optimization Theory and Applications, 2014

2013
Confidence intervals for quantiles with standardized time series.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

2012
An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions.
J. Optimization Theory and Applications, 2012

2011
A lower bound on complexity of optimization under the r-fold integrated Wiener measure.
J. Complexity, 2011

An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate under the Wiener Measure.
Informatica, Lith. Acad. Sci., 2011

2010
Randomized algorithm for global optimization with bounded memory.
Mathematics and Computers in Simulation, 2010

A lower bound on convergence rates of nonadaptive algorithms for univariate optimization with noise.
J. Global Optimization, 2010

2009
Adaptive Global Search.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Simulation output analysis using integrated paths II: Low bias estimators.
ACM Trans. Model. Comput. Simul., 2009

2007
Simulation output analysis using integrated paths.
ACM Trans. Model. Comput. Simul., 2007

A lower bound on complexity of optimization on the Wiener space.
Theor. Comput. Sci., 2007

Low bias integrated path estimators.
Proceedings of the Winter Simulation Conference, WSC 2007, 2007

2006
The semi-regenerative method of simulation output analysis.
ACM Trans. Model. Comput. Simul., 2006

Permuted Standardized Time Series for Steady-State Simulations.
Math. Oper. Res., 2006

Experimental evaluation of integrated path estimators.
Proceedings of the Winter Simulation Conference WSC 2006, 2006

2005
Approximate Implementations of Pure Random Search in the Presence of Noise.
J. Global Optimization, 2005

2004
Lower bound on complexity of optimization of continuous functions.
J. Complexity, 2004

Permuted derivative and importance-sampling estimators for regenerative simulations.
European Journal of Operational Research, 2004

Permuted Weighted Area Estimators.
Proceedings of the 36th conference on Winter simulation, 2004

Simulation Output Analysis Based on Excursions.
Proceedings of the 36th conference on Winter simulation, 2004

2003
Average-case analysis of a greedy algorithm for the 0/1 knapsack problem.
Oper. Res. Lett., 2003

2002
Output analysis: a comparison of output-analysis methods for simulations of processes with multiple regeneration sequences.
Proceedings of the 34th Winter Simulation Conference: Exploring New Frontiers, 2002

2001
On Convergence of a P-Algorithm Based on a Statistical Model of Continuously Differentiable Functions.
J. Global Optimization, 2001

A One-Dimensional Optimization Algorithm and Its Convergence Rate under the Wiener Measure.
J. Complexity, 2001

Improving standardized time series methods by permuting path segments.
Proceedings of the 33nd conference on Winter simulation, 2001

Steady state simulation analysis: importance sampling using the semi-regenerative method.
Proceedings of the 33nd conference on Winter simulation, 2001

Efficient simulation for discrete path-dependent option pricing.
Proceedings of the 33nd conference on Winter simulation, 2001

2000
Central Limit Theorems for Permuted Regenerative Estimators.
Operations Research, 2000

1999
Comparison of One-dimensional Composite and Non-composite Passive Algorithms.
J. Global Optimization, 1999

On the small-sample optimality of multiple-regeneration estimators.
Proceedings of the 31st conference on Winter simulation: Simulation, 1999

Polynomial acceleration of Monte-Carlo global search.
Proceedings of the 31st conference on Winter simulation: Simulation, 1999

1998
Using Permutations in Regenerative Simulations to Reduce Variance.
ACM Trans. Model. Comput. Simul., 1998

Exploiting Multiple Regeneration Sequences in Simulation Output Analysis.
Proceedings of the 30th conference on Winter simulation, WSC 1998, 1998

1997
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains.
Proceedings of the 29th conference on Winter simulation, 1997

Comparison of Monte Carlo and Deterministic Methods for Non-Adaptive Optimization.
Proceedings of the 29th conference on Winter simulation, 1997

1996
Optimal random non-adaptive algorithm for global optimization of Brownian motion.
J. Global Optimization, 1996

A Probabilistic Analysis of Two-Machine Flowshops.
Operations Research, 1996

1994
Return-State Independent Quantities in Regenerative Simulation.
Operations Research, 1994

Average performance of Monte Carlo and Quasi-Monte Carlo methods for global optimization.
Proceedings of the 26th conference on Winter simulation, 1994

Increasing the frequency of regeneration for Markov processes.
Proceedings of the 26th conference on Winter simulation, 1994

1993
Consistency of a myopic Bayesian algorithm for one-dimensional global optimization.
J. Global Optimization, 1993

The Simnet Virtual World Architecture.
Proceedings of the IEEE Virtual Reality Annual International Symposium, 1993

1988
Covariance of regenerative mean and variance estimators for Markov chains.
Proceedings of the 20th conference on Winter simulation, 1988


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