T. Lu, W. Huang, D. Yevick, M. O'Sullivan, and M. Reimer, "Multicanonical comparison of polarization-mode dispersion compensator performance," J. Opt. Soc. Am. A 22, 2804-2809 (2005).

[CrossRef]

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

T. Lu and D. Yevick, "Biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1420-1422 (2005).

[CrossRef]

P. Virnau and M. Muller, "Calculation of free energy through successive umbrella sampling," J. Chem. Phys. 120, 10925-10930 (2004).

[CrossRef]

J. Bucklew and R. Radeke, "On the Monte Carlo simulation of digital communication systems in Gaussian noise," IEEE Trans. Commun. 51, 267-274 (2003).

[CrossRef]

D. Yevick, "The accuracy of multicanonical system models," IEEE Photon. Technol. Lett. 15, 224-226 (2003).

[CrossRef]

D. Sandel, V. Mirvoda, S. Bhandare, F. Wust, and R. Noe, "Some enabling techniques for polarization mode dispersion compensation," J. Lightwave Technol. 21, 1198-1210 (2003).

[CrossRef]

D. Yevick, "Multicanonical communication system modeling--application to PMD statistics," IEEE Photon. Technol. Lett. 14, 1512-1514 (2002).

[CrossRef]

J. Gordon and H. Kogelnik, "PMD fundamentals: polarization mode dispersion in optical fibers," Proc. Natl. Acad. Sci. U.S.A. 97, 4541-4550 (2000).

[CrossRef]
[PubMed]

B. Berg, "Introduction to multicanonical Monte Carlo simulations," Fields Inst. Commun. 26, 1-24 (2000).

B. Berg, "Algorithmic aspects of multicanonical simulations," Nucl. Phys. B 63A-C, 982-984 (1998).

P. Smith, M. Shafi, and H. Gao, "Quick simulation: a review of importance sampling techniques in communications systems," IEEE J. Sel. Areas Commun. 15, 597-613 (1997).

[CrossRef]

B. Berg, "Multicanonical recursions," J. Stat. Phys. 82, 323-342 (1996).

[CrossRef]

N. Mandayam and B. Aazhang, "Importance sampling for analysis of direct detection optical communication systems," IEEE Trans. Commun. 43, 229-239 (1995).

[CrossRef]

A. Ferrenberg, D. Landau, and R. Swendsen, "Statistical errors in histogram reweighting," Phys. Rev. E 51, 5092-5100 (1995).

[CrossRef]

G. Smith and A. Bruce, "A study of the multi-canonical Monte Carlo method," J. Phys. A 28, 6623-6643 (1995).

[CrossRef]

B. Heffner, "Automated measurement of polarization mode dispersion using Jones matrix eigenanalysis," IEEE Photon. Technol. Lett. 4, 1066-1068 (1992).

[CrossRef]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

G. Foschini and C. Poole, "Statistical theory of polarization dispersion in single mode fibers," J. Lightwave Technol. 9, 1439-1456 (1991).

[CrossRef]

R. Wolfe, M. Jeruchim, and P. Hahn, "On optimum and suboptimum biasing procedures for importance sampling in communication simulation," IEEE Trans. Commun. 38, 639-647 (1990).

[CrossRef]

N. Alves, B. Berg, and R. Villanova, "Ising-model Monte Carlo simulations: density of states and mass gap," Phys. Rev. B 41, 383-394 (1990).

[CrossRef]

M. Jeruchim, P. Hahn, K. Smyntek, and R. Ray, "An experimental investigation of conventional and efficient importance sampling," IEEE Trans. Commun. 37, 578-587 (1989).

[CrossRef]

A. Ferrenberg and R. Swendsen, "Optimized Monte Carlo data analysis," Phys. Rev. Lett. 63, 1195-1198 (1989).

[CrossRef]
[PubMed]

G. Torrie and J. Valleau, "Nonphysical sampling distributions in Monte Carlo free-energy estimation: umbrella sampling," J. Comput. Phys. 23, 187-199 (1977).

[CrossRef]

C. Bennett, "Efficient estimation of free energy differences from Monte Carlo data," J. Comput. Phys. 22, 245-268 (1976).

[CrossRef]

G. Torrie and J. Valleau, "Monte Carlo free energy estimates using non-Boltzmann sampling: application to the sub-critical Lennard-Jones fluid," Chem. Phys. Lett. 28, 578-581 (1974).

[CrossRef]

N. Mandayam and B. Aazhang, "Importance sampling for analysis of direct detection optical communication systems," IEEE Trans. Commun. 43, 229-239 (1995).

[CrossRef]

A. Acharya, "Free energy differences: representations, estimators and sampling strategies," Ph.D. thesis (University of Edinburgh, 2004).

N. Alves, B. Berg, and R. Villanova, "Ising-model Monte Carlo simulations: density of states and mass gap," Phys. Rev. B 41, 383-394 (1990).

[CrossRef]

C. Bennett, "Efficient estimation of free energy differences from Monte Carlo data," J. Comput. Phys. 22, 245-268 (1976).

[CrossRef]

B. Berg, "Introduction to multicanonical Monte Carlo simulations," Fields Inst. Commun. 26, 1-24 (2000).

B. Berg, "Algorithmic aspects of multicanonical simulations," Nucl. Phys. B 63A-C, 982-984 (1998).

B. Berg, "Multicanonical recursions," J. Stat. Phys. 82, 323-342 (1996).

[CrossRef]

N. Alves, B. Berg, and R. Villanova, "Ising-model Monte Carlo simulations: density of states and mass gap," Phys. Rev. B 41, 383-394 (1990).

[CrossRef]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

G. Smith and A. Bruce, "A study of the multi-canonical Monte Carlo method," J. Phys. A 28, 6623-6643 (1995).

[CrossRef]

J. Bucklew and R. Radeke, "On the Monte Carlo simulation of digital communication systems in Gaussian noise," IEEE Trans. Commun. 51, 267-274 (2003).

[CrossRef]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

A. Ferrenberg, D. Landau, and R. Swendsen, "Statistical errors in histogram reweighting," Phys. Rev. E 51, 5092-5100 (1995).

[CrossRef]

A. Ferrenberg and R. Swendsen, "Optimized Monte Carlo data analysis," Phys. Rev. Lett. 63, 1195-1198 (1989).

[CrossRef]
[PubMed]

G. Foschini and C. Poole, "Statistical theory of polarization dispersion in single mode fibers," J. Lightwave Technol. 9, 1439-1456 (1991).

[CrossRef]

P. Smith, M. Shafi, and H. Gao, "Quick simulation: a review of importance sampling techniques in communications systems," IEEE J. Sel. Areas Commun. 15, 597-613 (1997).

[CrossRef]

J. Gordon and H. Kogelnik, "PMD fundamentals: polarization mode dispersion in optical fibers," Proc. Natl. Acad. Sci. U.S.A. 97, 4541-4550 (2000).

[CrossRef]
[PubMed]

R. Wolfe, M. Jeruchim, and P. Hahn, "On optimum and suboptimum biasing procedures for importance sampling in communication simulation," IEEE Trans. Commun. 38, 639-647 (1990).

[CrossRef]

M. Jeruchim, P. Hahn, K. Smyntek, and R. Ray, "An experimental investigation of conventional and efficient importance sampling," IEEE Trans. Commun. 37, 578-587 (1989).

[CrossRef]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

B. Heffner, "Automated measurement of polarization mode dispersion using Jones matrix eigenanalysis," IEEE Photon. Technol. Lett. 4, 1066-1068 (1992).

[CrossRef]

R. Wolfe, M. Jeruchim, and P. Hahn, "On optimum and suboptimum biasing procedures for importance sampling in communication simulation," IEEE Trans. Commun. 38, 639-647 (1990).

[CrossRef]

M. Jeruchim, P. Hahn, K. Smyntek, and R. Ray, "An experimental investigation of conventional and efficient importance sampling," IEEE Trans. Commun. 37, 578-587 (1989).

[CrossRef]

J. Gordon and H. Kogelnik, "PMD fundamentals: polarization mode dispersion in optical fibers," Proc. Natl. Acad. Sci. U.S.A. 97, 4541-4550 (2000).

[CrossRef]
[PubMed]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

A. Ferrenberg, D. Landau, and R. Swendsen, "Statistical errors in histogram reweighting," Phys. Rev. E 51, 5092-5100 (1995).

[CrossRef]

D. Yevick and T. Lu, "Improved multicanonical algorithms," J. Opt. Soc. Am. A 23, 2912-2918 (2006).

[CrossRef]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

T. Lu, W. Huang, D. Yevick, M. O'Sullivan, and M. Reimer, "Multicanonical comparison of polarization-mode dispersion compensator performance," J. Opt. Soc. Am. A 22, 2804-2809 (2005).

[CrossRef]

T. Lu and D. Yevick, "Biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1420-1422 (2005).

[CrossRef]

N. Mandayam and B. Aazhang, "Importance sampling for analysis of direct detection optical communication systems," IEEE Trans. Commun. 43, 229-239 (1995).

[CrossRef]

P. Virnau and M. Muller, "Calculation of free energy through successive umbrella sampling," J. Chem. Phys. 120, 10925-10930 (2004).

[CrossRef]

G. Foschini and C. Poole, "Statistical theory of polarization dispersion in single mode fibers," J. Lightwave Technol. 9, 1439-1456 (1991).

[CrossRef]

J. Bucklew and R. Radeke, "On the Monte Carlo simulation of digital communication systems in Gaussian noise," IEEE Trans. Commun. 51, 267-274 (2003).

[CrossRef]

M. Jeruchim, P. Hahn, K. Smyntek, and R. Ray, "An experimental investigation of conventional and efficient importance sampling," IEEE Trans. Commun. 37, 578-587 (1989).

[CrossRef]

M. Reimer and D. Yevick, "Least-squares analysis of the Mueller matrix," Opt. Lett. 31, 2399-2401 (2006).

[CrossRef]
[PubMed]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

T. Lu, W. Huang, D. Yevick, M. O'Sullivan, and M. Reimer, "Multicanonical comparison of polarization-mode dispersion compensator performance," J. Opt. Soc. Am. A 22, 2804-2809 (2005).

[CrossRef]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

M. Souaille and B. Roux, "Extension to the weighted histogram analysis method: combining umbrella sampling with free energy calculations," Comput. Phys. Commun. 135, 40-57 (2001).

[CrossRef]

D. Scott, Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley, 1992).

[CrossRef]

P. Smith, M. Shafi, and H. Gao, "Quick simulation: a review of importance sampling techniques in communications systems," IEEE J. Sel. Areas Commun. 15, 597-613 (1997).

[CrossRef]

G. Smith and A. Bruce, "A study of the multi-canonical Monte Carlo method," J. Phys. A 28, 6623-6643 (1995).

[CrossRef]

P. Smith, M. Shafi, and H. Gao, "Quick simulation: a review of importance sampling techniques in communications systems," IEEE J. Sel. Areas Commun. 15, 597-613 (1997).

[CrossRef]

M. Jeruchim, P. Hahn, K. Smyntek, and R. Ray, "An experimental investigation of conventional and efficient importance sampling," IEEE Trans. Commun. 37, 578-587 (1989).

[CrossRef]

M. Souaille and B. Roux, "Extension to the weighted histogram analysis method: combining umbrella sampling with free energy calculations," Comput. Phys. Commun. 135, 40-57 (2001).

[CrossRef]

A. Ferrenberg, D. Landau, and R. Swendsen, "Statistical errors in histogram reweighting," Phys. Rev. E 51, 5092-5100 (1995).

[CrossRef]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

A. Ferrenberg and R. Swendsen, "Optimized Monte Carlo data analysis," Phys. Rev. Lett. 63, 1195-1198 (1989).

[CrossRef]
[PubMed]

G. Torrie and J. Valleau, "Nonphysical sampling distributions in Monte Carlo free-energy estimation: umbrella sampling," J. Comput. Phys. 23, 187-199 (1977).

[CrossRef]

G. Torrie and J. Valleau, "Monte Carlo free energy estimates using non-Boltzmann sampling: application to the sub-critical Lennard-Jones fluid," Chem. Phys. Lett. 28, 578-581 (1974).

[CrossRef]

G. Torrie and J. Valleau, "Nonphysical sampling distributions in Monte Carlo free-energy estimation: umbrella sampling," J. Comput. Phys. 23, 187-199 (1977).

[CrossRef]

G. Torrie and J. Valleau, "Monte Carlo free energy estimates using non-Boltzmann sampling: application to the sub-critical Lennard-Jones fluid," Chem. Phys. Lett. 28, 578-581 (1974).

[CrossRef]

E. Veach, "Robust Monte Carlo methods for light transport simulation," Ph.D. thesis (Stanford University, 1997).

N. Alves, B. Berg, and R. Villanova, "Ising-model Monte Carlo simulations: density of states and mass gap," Phys. Rev. B 41, 383-394 (1990).

[CrossRef]

P. Virnau and M. Muller, "Calculation of free energy through successive umbrella sampling," J. Chem. Phys. 120, 10925-10930 (2004).

[CrossRef]

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

R. Wolfe, M. Jeruchim, and P. Hahn, "On optimum and suboptimum biasing procedures for importance sampling in communication simulation," IEEE Trans. Commun. 38, 639-647 (1990).

[CrossRef]

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

D. Yevick and T. Lu, "Improved multicanonical algorithms," J. Opt. Soc. Am. A 23, 2912-2918 (2006).

[CrossRef]

M. Reimer and D. Yevick, "Least-squares analysis of the Mueller matrix," Opt. Lett. 31, 2399-2401 (2006).

[CrossRef]
[PubMed]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

T. Lu and D. Yevick, "Biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1420-1422 (2005).

[CrossRef]

T. Lu, W. Huang, D. Yevick, M. O'Sullivan, and M. Reimer, "Multicanonical comparison of polarization-mode dispersion compensator performance," J. Opt. Soc. Am. A 22, 2804-2809 (2005).

[CrossRef]

D. Yevick, "The accuracy of multicanonical system models," IEEE Photon. Technol. Lett. 15, 224-226 (2003).

[CrossRef]

D. Yevick, "Multicanonical communication system modeling--application to PMD statistics," IEEE Photon. Technol. Lett. 14, 1512-1514 (2002).

[CrossRef]

D. Yevick, A First Course in Computational Physics and Object-Oriented Programming with C++ (Cambridge U. Press, 2005).

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

G. Torrie and J. Valleau, "Monte Carlo free energy estimates using non-Boltzmann sampling: application to the sub-critical Lennard-Jones fluid," Chem. Phys. Lett. 28, 578-581 (1974).

[CrossRef]

M. Souaille and B. Roux, "Extension to the weighted histogram analysis method: combining umbrella sampling with free energy calculations," Comput. Phys. Commun. 135, 40-57 (2001).

[CrossRef]

B. Berg, "Introduction to multicanonical Monte Carlo simulations," Fields Inst. Commun. 26, 1-24 (2000).

P. Smith, M. Shafi, and H. Gao, "Quick simulation: a review of importance sampling techniques in communications systems," IEEE J. Sel. Areas Commun. 15, 597-613 (1997).

[CrossRef]

D. Yevick, "The accuracy of multicanonical system models," IEEE Photon. Technol. Lett. 15, 224-226 (2003).

[CrossRef]

D. Yevick, "Multicanonical communication system modeling--application to PMD statistics," IEEE Photon. Technol. Lett. 14, 1512-1514 (2002).

[CrossRef]

T. Lu, D. Yevick, L. Yan, B. Zhang, and A. E. Willner, "An experimental approach to multicanonical sampling," IEEE Photon. Technol. Lett. 16, 1978-1980 (2005).

[CrossRef]

T. Lu, D. Yevick, B. Hamilton, D. Dumas, and M. Reimer, "An experimental realization of biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1583-1585 (2005).

T. Lu and D. Yevick, "Biased multicanonical sampling," IEEE Photon. Technol. Lett. 17, 1420-1422 (2005).

[CrossRef]

B. Heffner, "Automated measurement of polarization mode dispersion using Jones matrix eigenanalysis," IEEE Photon. Technol. Lett. 4, 1066-1068 (1992).

[CrossRef]

M. Jeruchim, P. Hahn, K. Smyntek, and R. Ray, "An experimental investigation of conventional and efficient importance sampling," IEEE Trans. Commun. 37, 578-587 (1989).

[CrossRef]

J. Bucklew and R. Radeke, "On the Monte Carlo simulation of digital communication systems in Gaussian noise," IEEE Trans. Commun. 51, 267-274 (2003).

[CrossRef]

R. Wolfe, M. Jeruchim, and P. Hahn, "On optimum and suboptimum biasing procedures for importance sampling in communication simulation," IEEE Trans. Commun. 38, 639-647 (1990).

[CrossRef]

N. Mandayam and B. Aazhang, "Importance sampling for analysis of direct detection optical communication systems," IEEE Trans. Commun. 43, 229-239 (1995).

[CrossRef]

P. Virnau and M. Muller, "Calculation of free energy through successive umbrella sampling," J. Chem. Phys. 120, 10925-10930 (2004).

[CrossRef]

S. Kumar, D. Bouzids, R. Swendsen, P. Kollman, and J. Rosebberg, "The weighted histogram analysis method for free-energy calculations on biomolecules. I. The method," J. Comput. Chem. 13, 1011-1021 (1992).

[CrossRef]

G. Torrie and J. Valleau, "Nonphysical sampling distributions in Monte Carlo free-energy estimation: umbrella sampling," J. Comput. Phys. 23, 187-199 (1977).

[CrossRef]

C. Bennett, "Efficient estimation of free energy differences from Monte Carlo data," J. Comput. Phys. 22, 245-268 (1976).

[CrossRef]

G. Foschini and C. Poole, "Statistical theory of polarization dispersion in single mode fibers," J. Lightwave Technol. 9, 1439-1456 (1991).

[CrossRef]

A. Djupsjobacka, "On differential group-delay statistics for polarization-mode dispersion emulators," J. Lightwave Technol. 19, 285-290 (2001).

[CrossRef]

M. Karlsson, "Probability density functions of the differential group delay in optical fiber communication systems," J. Lightwave Technol. 19, 324-331 (2001).

[CrossRef]

D. Sandel, V. Mirvoda, S. Bhandare, F. Wust, and R. Noe, "Some enabling techniques for polarization mode dispersion compensation," J. Lightwave Technol. 21, 1198-1210 (2003).

[CrossRef]

T. Lu, W. Huang, D. Yevick, M. O'Sullivan, and M. Reimer, "Multicanonical comparison of polarization-mode dispersion compensator performance," J. Opt. Soc. Am. A 22, 2804-2809 (2005).

[CrossRef]

D. Yevick and T. Lu, "Improved multicanonical algorithms," J. Opt. Soc. Am. A 23, 2912-2918 (2006).

[CrossRef]

G. Smith and A. Bruce, "A study of the multi-canonical Monte Carlo method," J. Phys. A 28, 6623-6643 (1995).

[CrossRef]

B. Berg, "Multicanonical recursions," J. Stat. Phys. 82, 323-342 (1996).

[CrossRef]

B. Berg, "Algorithmic aspects of multicanonical simulations," Nucl. Phys. B 63A-C, 982-984 (1998).

N. Alves, B. Berg, and R. Villanova, "Ising-model Monte Carlo simulations: density of states and mass gap," Phys. Rev. B 41, 383-394 (1990).

[CrossRef]

A. Ferrenberg, D. Landau, and R. Swendsen, "Statistical errors in histogram reweighting," Phys. Rev. E 51, 5092-5100 (1995).

[CrossRef]

A. Ferrenberg and R. Swendsen, "Optimized Monte Carlo data analysis," Phys. Rev. Lett. 63, 1195-1198 (1989).

[CrossRef]
[PubMed]

J. Gordon and H. Kogelnik, "PMD fundamentals: polarization mode dispersion in optical fibers," Proc. Natl. Acad. Sci. U.S.A. 97, 4541-4550 (2000).

[CrossRef]
[PubMed]

D. Yevick, A First Course in Computational Physics and Object-Oriented Programming with C++ (Cambridge U. Press, 2005).

E. Veach, "Robust Monte Carlo methods for light transport simulation," Ph.D. thesis (Stanford University, 1997).

D. Scott, Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley, 1992).

[CrossRef]

A. Acharya, "Free energy differences: representations, estimators and sampling strategies," Ph.D. thesis (University of Edinburgh, 2004).