메뉴 건너뛰기




Volumn 46 LNEE, Issue , 2009, Pages 1-191

Novel algorithms for fast statistical analysis of scaled circuits

Author keywords

[No Author keywords available]

Indexed keywords


EID: 78651587182     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-90-481-3100-6_1     Document Type: Conference Paper
Times cited : (7)

References (188)
  • 1
    • 0002809516 scopus 로고    scopus 로고
    • A comparison of some monte carlo and quasi-monte carlo techniques for option pricing
    • H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof, editors, Springer, New York
    • P. Acworth, M. Broadie, and P. Glasserman. A comparison of some Monte Carlo and quasi-Monte Carlo techniques for option pricing. In H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof, editors, Monte Carlo and Quasi-Monte Carlo Methods 1996, pages 1-18. Springer, New York, 1998.
    • (1998) Monte Carlo and Quasi-Monte Carlo Methods 1996 , pp. 1-18
    • Acworth, P.1    Broadie, M.2    Glasserman, P.3
  • 3
  • 4
  • 5
    • 0026205555 scopus 로고
    • The ellipsoidal technique for design centering and region approximation
    • H. L. Abdel-Malik and A.-K. S. O. Hassan. The ellipsoidal technique for design centering and region approximation. IEEE Trans. Computer- Aided Design, 10(8):1006-1014, 1991.
    • (1991) IEEE Trans. Computer- Aided Design , vol.10 , Issue.8 , pp. 1006-1014
    • Abdel-Malik, H.L.1    Hassan, A.-K.S.O.2
  • 6
    • 0000844888 scopus 로고
    • An economic method of computing LP? - Sequences
    • English translation
    • I. A. Antanov and V. M. Saleev. An economic method of computing LP? - sequences. U. S. S. R. Comp. Math. and Math. Phys., 19 :252-256, 1979 (English translation).
    • (1979) U. S. S. R. Comp. Math. and Math. Phys. , vol.19 , pp. 252-256
    • Antanov, I.A.1    Saleev, V.M.2
  • 9
    • 0027599793 scopus 로고
    • Universal approximation bounds for superpositions of a sigmoidal function
    • A. R. Barron. Universal approximation bounds for superpositions of a sigmoidal function. IEEE Trans. Inform. Theory, 39(3):930-945, 1993.
    • (1993) IEEE Trans. Inform. Theory , vol.39 , Issue.3 , pp. 930-945
    • Barron, A.R.1
  • 11
    • 0001072998 scopus 로고
    • Residual life time at great age
    • A. A. Balkema and L. de Haan. Residual life time at great age. Ann. Prob., 2(5):792-804, 1974.
    • (1974) Ann. Prob. , vol.2 , Issue.5 , pp. 792-804
    • Balkema, A.A.1    De Haan, L.2
  • 12
    • 0023979638 scopus 로고
    • Algorithm 659: Implementing sobol's quasirandom sequence generator
    • P. Bratley and B. L. Fox. Algorithm 659: implementing Sobol's quasirandom sequence generator. ACM Trans. Math. Soft., 14(1):88-100, 1988.
    • (1988) ACM Trans. Math. Soft. , vol.14 , Issue.1 , pp. 88-100
    • Bratley, P.1    Fox, B.L.2
  • 14
    • 0001541731 scopus 로고
    • A note on the generation of random normal deviates
    • G. E. P. Box and M. E. Muller. A note on the generation of random normal deviates. Ann. Math. Stats., 29 :610-611, 1958.
    • (1958) Ann. Math. Stats. , vol.29 , pp. 610-611
    • Box, G.E.P.1    Muller, M.E.2
  • 15
    • 0033544443 scopus 로고    scopus 로고
    • Non-linear projection to latent structures revisited (the neural network PLS algorithm
    • G. Baffi, E. B. Martin, and A. J. Morris. Non-linear projection to latent structures revisited (the neural network PLS algorithm). Comp. Chem. Engg., 23(9):1293-1307, 1999.
    • (1999) Comp. Chem. Engg. , vol.23 , Issue.9 , pp. 1293-1307
    • Baffi, G.1    Martin, E.B.2    Morris, A.J.3
  • 16
    • 0035201779 scopus 로고    scopus 로고
    • Error bounds for approximation with neural networks
    • M. Burger and A. Neubauer. Error bounds for approximation with neural networks. J. Approx. Theory, 112 :235-250, 2001.
    • (2001) J. Approx. Theory , vol.112 , pp. 235-250
    • Burger, M.1    Neubauer, A.2
  • 17
    • 33846515112 scopus 로고    scopus 로고
    • Partial least squares: A versatile tool for the analysis of high-dimensional genomic data
    • A.-L. Boulesteix and K. Strimmer. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data. Brief. Bioinform., 8(1):32-44, 2006.
    • (2006) Brief. Bioinform. , vol.8 , Issue.1 , pp. 32-44
    • Boulesteix, A.-L.1    Strimmer, K.2
  • 19
    • 0035308547 scopus 로고    scopus 로고
    • The impact of intrinsic device fluctuations on CMOS SRAM cell stability
    • A. J. Bhavnagarwala, X. Tang, and J. D. Meindl. The impact of intrinsic device fluctuations on CMOS SRAM cell stability. IEEE J. Solid-State Circuits, 36(4):658-665, 2001.
    • (2001) IEEE J. Solid-State Circuits , vol.36 , Issue.4 , pp. 658-665
    • Bhavnagarwala, A.J.1    Tang, X.2    Meindl, J.D.3
  • 20
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov., 2(2):121-167, 1998.
    • (1998) Data Min. Knowl. Discov. , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 21
    • 2842581444 scopus 로고    scopus 로고
    • Frameworks for latent variable multivariate regression
    • A. J. Burnham, R. Viveros, and J. F. MacGregor. Frameworks for latent variable multivariate regression. J. Chemometrics, 20 :31-45, 1996.
    • (1996) J. Chemometrics , vol.20 , pp. 31-45
    • Burnham, A.J.1    Viveros, R.2    MacGregor, J.F.3
  • 23
    • 0000378922 scopus 로고
    • Approximation by ridge functions and neural networks with one hidden layer
    • C. K. Chui and X. Li. Approximation by ridge functions and neural networks with one hidden layer. J. Approx. Theory, 70 :131-141, 1992.
    • (1992) J. Approx. Theory , vol.70 , pp. 131-141
    • Chui, C.K.1    Li, X.2
  • 24
    • 27844503288 scopus 로고    scopus 로고
    • Limitations of the approximation capabilities of neural networks with one hidden layer
    • C. K. Chui, X. Li, and H. N. Mhaskar. Limitations of the approximation capabilities of neural networks with one hidden layer. Adv. Comp. Math., 5 :233-243, 1996. (Pubitemid 126729162)
    • (1996) Advances in Computational Mathematics , vol.5 , Issue.2-3 , pp. 233-243
    • Chui, C.K.1    Li, X.2    Mhaskar, H.N.3
  • 26
    • 0003008716 scopus 로고    scopus 로고
    • Valuation of mortgage backed securities using brownian bridges to reduce effective dimension
    • R. E. Caflisch, W. Morokoff, and A. Owen. Valuation of mortgage backed securities using Brownian bridges to reduce effective dimension. J. Comp. Finance, 1(1):27-46, 1997.
    • (1997) J. Comp. Finance , vol.1 , Issue.1 , pp. 27-46
    • Caflisch, R.E.1    Morokoff, W.2    Owen, A.3
  • 27
    • 0033322064 scopus 로고    scopus 로고
    • Monomial cubature rules since "Stroud": A compilation - Part 2
    • R. Cools. Monomial cubature rules since "Stroud": a compilation - part 2. J. Comput. Appl. Math., 112 :21-27, 1999.
    • (1999) J. Comput. Appl. Math. , vol.112 , pp. 21-27
    • Cools, R.1
  • 28
    • 0030104771 scopus 로고    scopus 로고
    • On the uniqueness of weights in singlelayer perceptron
    • F. M. Coetzee and V. L. Stonick. On the uniqueness of weights in singlelayer perceptron. IEEE Trans. Neural Networks, 7(2):318-325, 1996.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.2 , pp. 318-325
    • Coetzee, F.M.1    Stonick, V.L.2
  • 29
    • 27644526873 scopus 로고    scopus 로고
    • Statistical timing under spatial correlations
    • H. Chang and S. Sapatnekar. Statistical timing under spatial correlations. IEEE Trans. Computer-Aided Design, 24(9):1467-1482, 2005.
    • (2005) IEEE Trans. Computer-Aided Design , vol.24 , Issue.9 , pp. 1467-1482
    • Chang, H.1    Sapatnekar, S.2
  • 30
    • 0024861871 scopus 로고
    • Approximation by superpositions of sigmoidal functions
    • G. Cybenko. Approximation by superpositions of sigmoidal functions. Math. Control Signals Systems, 2 :303-314, 1989.
    • (1989) Math. Control Signals Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 31
    • 84945715056 scopus 로고
    • Statistical modeling for efficient parametric yield estimation of MOS VLSI circuits
    • P. Cox, P. Yang, S. S. Mahant-Shetti, and P. Chatterjee. Statistical modeling for efficient parametric yield estimation of MOS VLSI circuits. IEEE Trans. Electron Devices, 32(2):471-478, 1985.
    • (1985) IEEE Trans. Electron Devices , vol.32 , Issue.2 , pp. 471-478
    • Cox, P.1    Yang, P.2    Mahant-Shetti, S.S.3    Chatterjee, P.4
  • 33
    • 0003040223 scopus 로고
    • Fighting the arch-enemy with mathematics
    • L. de Haan. Fighting the arch-enemy with mathematics. Statist. Neerlandica, 44:45-68, 1990.
    • (1990) Statist. Neerlandica , vol.44 , pp. 45-68
    • De Haan, L.1
  • 35
  • 37
    • 0001495113 scopus 로고
    • Procedures for reduced-rank regression
    • P. Davies and M. K.-S. Tso. Procedures for reduced-rank regression. Appl. Stats., 31(3):244-255, 1982.
    • (1982) Appl. Stats. , vol.31 , Issue.3 , pp. 244-255
    • Davies, P.1    Tso, M.K.-S.2
  • 38
    • 67249112413 scopus 로고    scopus 로고
    • Investigation of random dopant fluctuation induced device characteristics variation for sub-100 nm CMOS by using atomistic 3d process/device simulator
    • T. Ezaki, T. Izekawa, and M. Hane. Investigation of random dopant fluctuation induced device characteristics variation for sub-100 nm CMOS by using atomistic 3d process/device simulator. In Proc. IEEE Int. Electron Devices Meeting, 2002.
    • (2002) Proc. IEEE Int. Electron Devices Meeting
    • Ezaki, T.1    Izekawa, T.2    Hane, M.3
  • 41
    • 0028385333 scopus 로고
    • Acceptance sampling: An efficient, accurate method for estimating and optimizing parametric yield
    • N. J. Elias. Acceptance sampling: an efficient, accurate method for estimating and optimizing parametric yield. IEEE J. Solid-State Circuits, 29(3):323-327, 1994.
    • (1994) IEEE J. Solid-State Circuits , vol.29 , Issue.3 , pp. 323-327
    • Elias, N.J.1
  • 42
    • 0001013260 scopus 로고
    • Discrépance de suites associées 'a un systeme de numération (en dimension s)
    • French
    • H. Faure. Discrépance de suites associées 'a un systeme de numération (en dimension s). Acta Arith., 41 :337-351, 1982 (in French).
    • (1982) Acta Arith. , vol.41 , pp. 337-351
    • Faure, H.1
  • 43
    • 0027872091 scopus 로고
    • Integrated circuit quality optimization using surface integrals
    • P. Feldmann and S. W. Director. Integrated circuit quality optimization using surface integrals. IEEE Trans. Computer-Aided Design, 12(12):1868-1879, 1993.
    • (1993) IEEE Trans. Computer-Aided Design , vol.12 , Issue.12 , pp. 1868-1879
    • Feldmann, P.1    Director, S.W.2
  • 46
    • 34548119635 scopus 로고    scopus 로고
    • Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression
    • November
    • Z. Feng and P. Li. Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression. In Proc. IEEE/ACM Int. Conf. on CAD, November 2006.
    • (2006) Proc. IEEE/ACM Int. Conf. on CAD
    • Feng, Z.1    Li, P.2
  • 47
    • 0022954116 scopus 로고
    • Algorithm 647: Implementation and relative efficiency of quasirandom sequence generators
    • B. L. Fox. Algorithm 647: implementation and relative efficiency of quasirandom sequence generators. ACM Trans. Math. Soft., 12(4):362-376, 1986.
    • (1986) ACM Trans. Math. Soft. , vol.12 , Issue.4 , pp. 362-376
    • Fox, B.L.1
  • 49
    • 84950941772 scopus 로고
    • Projection pursuit regression
    • J. H. Friedman and W. Stuetzle. Projection pursuit regression. J. Amer. Stat. Assoc., 76(376):817-823, 1981.
    • (1981) J. Amer. Stat. Assoc. , vol.76 , Issue.376 , pp. 817-823
    • Friedman, J.H.1    Stuetzle, W.2
  • 50
    • 84958156266 scopus 로고
    • Limiting forms of the frequency distribution of the largest or smallest member of a sample
    • R. A. Fisher and L. H. C. Tippett. Limiting forms of the frequency distribution of the largest or smallest member of a sample. Proc. Cambridge Philos. Soc., 24:180-190, 1928.
    • (1928) Proc. Cambridge Philos. Soc. , vol.24 , pp. 180-190
    • Fisher, R.A.1    Tippett, L.H.C.2
  • 51
    • 0008854038 scopus 로고    scopus 로고
    • Another random scrambling of digital (t, s)- sequences
    • K.-T. Fang, F. J. Hickernell, and H. Niederreiter, editors, Springer, New York
    • H. Faure and S. Tezuka. Another random scrambling of digital (t, s)- sequences. In K.-T. Fang, F. J. Hickernell, and H. Niederreiter, editors, Monte Carlo and Quasi-Monte Carlo Methods 2000, pages 242-256. Springer, New York, 2002.
    • (2002) Monte Carlo and Quasi-Monte Carlo Methods 2000 , pp. 242-256
    • Faure, H.1    Tezuka, S.2
  • 53
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • K. Funahashi. On the approximate realization of continuous mappings by neural networks. Neural Networks, 2:183-192, 1989.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 55
    • 0242440688 scopus 로고    scopus 로고
    • Numerical integration using sparse grids
    • T. Gerstner and M. Griebel. Numerical integration using sparse grids. Numerical Algorithms, 18(3-4):209-232, 1998.
    • (1998) Numerical Algorithms , vol.18 , Issue.3-4 , pp. 209-232
    • Gerstner, T.1    Griebel, M.2
  • 58
    • 0001219859 scopus 로고
    • Regularization theory and neural network architectures
    • F. Girosi, M. Jones, and T. Poggio. Regularization theory and neural network architectures. Neural Computation, 7(2):219-269, 1995.
    • (1995) Neural Computation , vol.7 , Issue.2 , pp. 219-269
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 61
    • 0000005110 scopus 로고
    • Sur la distribution limite du terme maximum d'une aleatoire
    • B. Gnedenko. Sur la distribution limite du terme maximum d'une aleatoire. Ann. Math., 44(3):423-453, 1943.
    • (1943) Ann. Math. , vol.44 , Issue.3 , pp. 423-453
    • Gnedenko, B.1
  • 62
    • 84952103052 scopus 로고
    • Computing maximum likelihood estimates for the generalized pareto distribution
    • S. D. Grimshaw. Computing maximum likelihood estimates for the generalized Pareto distribution. Technometrics, 35(2):185-191, 1993.
    • (1993) Technometrics , vol.35 , Issue.2 , pp. 185-191
    • Grimshaw, S.D.1
  • 63
    • 0002020770 scopus 로고
    • On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
    • J. H. Halton. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals. Numerische Mathematik, 2 :84-90, 1960.
    • (1960) Numerische Mathematik , vol.2 , pp. 84-90
    • Halton, J.H.1
  • 64
    • 0002020770 scopus 로고
    • On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals
    • J. H. Halton. On the efficiency of certain quasi-random sequences of points in evaluating multi-dimensional integrals. Numerische Mathematik, 2 :84-90, 1960.
    • (1960) Numerische Mathematik , vol.2 , pp. 84-90
    • Halton, J.H.1
  • 65
    • 0000875045 scopus 로고
    • On projection pursuit regression
    • P. Hall. On projection pursuit regression. Ann. Stats., 17(2):573-588, 1989.
    • (1989) Ann. Stats. , vol.17 , Issue.2 , pp. 573-588
    • Hall, P.1
  • 66
    • 84893792941 scopus 로고
    • Monte carlo methods for solving multivariate problems
    • J. M. Hammersley. Monte Carlo methods for solving multivariate problems. Ann. New York Acad. Sci., 86 :844-874, 1960.
    • (1960) Ann. New York Acad. Sci. , vol.86 , pp. 844-874
    • Hammersley, J.M.1
  • 68
    • 0001015105 scopus 로고
    • Random approximation in numerical analysis
    • K. D. Bierstedt, A. Pietsch, W. M. Ruess, and D. Vogt, editors, Marcel Dekker, New York
    • S. Heinrich. Random approximation in numerical analysis. In K. D. Bierstedt, A. Pietsch, W. M. Ruess, and D. Vogt, editors, Functional Analysis, Marcel Dekker, New York, pages 123-171, 1994.
    • (1994) Functional Analysis , pp. 123-171
    • Heinrich, S.1
  • 69
    • 41949132970 scopus 로고    scopus 로고
    • Complexity theory of monte carlo algorithms
    • S. Heinrich. Complexity theory of Monte Carlo algorithms. Lec. Appl. Math., 32 :405-419, 1996.
    • (1996) Lec. Appl. Math. , vol.32 , pp. 405-419
    • Heinrich, S.1
  • 70
    • 1842651631 scopus 로고    scopus 로고
    • Algorithm 823: Implementing scrambled digital sequences
    • H. S. Hong and F. J. Hickernell. Algorithm 823: implementing scrambled digital sequences. ACM Trans. Math. Soft., 29(2):95-109, 2003.
    • (2003) ACM Trans. Math. Soft. , vol.29 , Issue.2 , pp. 95-109
    • Hong, H.S.1    Hickernell, F.J.2
  • 71
    • 0034968949 scopus 로고    scopus 로고
    • Extensible lattice sequences for quasi-monte carlo quadrature
    • F. J. Hickernell, H. S. Hong, P. L'Ecuyer, and C. Lemieux. Extensible lattice sequences for quasi-Monte Carlo quadrature. SIAM J. Sci. Comp., 22(3):1117-1138, 2000.
    • (2000) SIAM J. Sci. Comp. , vol.22 , Issue.3 , pp. 1117-1138
    • Hickernell, F.J.1    Hong, H.S.2    L'Ecuyer, P.3    Lemieux, C.4
  • 72
    • 0032345316 scopus 로고    scopus 로고
    • A generalized discrepancy and quadrature error bound
    • F. J. Hickernell. A generalized discrepancy and quadrature error bound. Math. Comp., 67(221):299-322, 1998.
    • (1998) Math. Comp. , vol.67 , Issue.221 , pp. 299-322
    • Hickernell, F.J.1
  • 73
    • 0842331392 scopus 로고    scopus 로고
    • Atomistic 3d process/device simulation considering gate line-edge roughness and poly-si random crystal orientation effects
    • M. Hane, T. Ikezawa, and T. Ezaki. Atomistic 3d process/device simulation considering gate line-edge roughness and poly-si random crystal orientation effects. In Proc. IEEE Int. Electron Devices Meeting, 2003.
    • (2003) Proc. IEEE Int. Electron Devices Meeting
    • Hane, M.1    Ikezawa, T.2    Ezaki, T.3
  • 74
    • 0000489595 scopus 로고
    • Functionen von beschränkter variation in der theori der gleichverteilung
    • German
    • E. Hlawka. Functionen von beschränkter variation in der theori der gleichverteilung. Ann. Mat. Pura Appl., 54 :325-333, 1961 (in German).
    • (1961) Ann. Mat. Pura Appl. , vol.54 , pp. 325-333
    • Hlawka, E.1
  • 75
    • 0020778410 scopus 로고
    • A study of variance reduction techniques for estimating circuit yields
    • D. E. Hocevar, M. R. Lightner, and T. N. Trick. A study of variance reduction techniques for estimating circuit yields. IEEE Trans. Computer- Aided Design, 2(3):279-287, 1983.
    • (1983) IEEE Trans. Computer- Aided Design , vol.2 , Issue.3 , pp. 279-287
    • Hocevar, D.E.1    Lightner, M.R.2    Trick, T.N.3
  • 76
    • 0028543366 scopus 로고
    • Training feedforward networks with the marquardt algorithm
    • M. T. Hagan and M. B. Menhaj. Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Networks, 5(6):989-993, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2
  • 77
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • K. Hornik, M. Stinchcombe, and H. White. Multilayer feedforward networks are universal approximators. Neural Networks, 2 :359-366, 1989.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 79
    • 0000263797 scopus 로고
    • Projection pursuit
    • P. J. Huber. Projection pursuit. Ann. Stats., 13(2):435-475, 1985.
    • (1985) Ann. Stats. , vol.13 , Issue.2 , pp. 435-475
    • Huber, P.J.1
  • 81
    • 0023400777 scopus 로고
    • Parameter and quantile estimation for the generalized pareto distribution
    • J. R. M. Hosking and J. R. Wallis. Parameter and quantile estimation for the generalized Pareto distribution. Technometrics, 29(3):339-349, 1987.
    • (1987) Technometrics , vol.29 , Issue.3 , pp. 339-349
    • Hosking, J.R.M.1    Wallis, J.R.2
  • 84
    • 10844292762 scopus 로고    scopus 로고
    • Remark on algorithm 659: Implementing sobol's quasirandom sequence generator
    • S. Joe and F. Y. Kuo. Remark on algorithm 659: implementing Sobol's quasirandom sequence generator. ACM Trans. Math. Soft., 29(1):49-57, 2003.
    • (2003) ACM Trans. Math. Soft. , vol.29 , Issue.1 , pp. 49-57
    • Joe, S.1    Kuo, F.Y.2
  • 85
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf, C. Burges, and A. Smola, editors, MIT Press, Cambridge
    • T. Joachims. Making large-scale SVM learning practical. In B. Schölkopf, C. Burges, and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1
  • 87
    • 0000523636 scopus 로고
    • On a conjecture of Huber concerning the convergence of projection pursuit regression
    • L. K. Jones. On a conjecture of Huber concerning the convergence of projection pursuit regression. Ann. Stats., 15(2):880-882, 1987.
    • (1987) Ann. Stats. , vol.15 , Issue.2 , pp. 880-882
    • Jones, L.K.1
  • 89
    • 0003021174 scopus 로고
    • Sur un mode de croissance réguli'ere. théor'emes fondamentaux
    • J. Karamata. Sur un mode de croissance réguli'ere. Théor'emes fondamentaux. Bull. Soc. Math. France, 61 :55-62, 1933.
    • (1933) Bull. Soc. Math. France , vol.61 , pp. 55-62
    • Karamata, J.1
  • 90
    • 84972526476 scopus 로고
    • On large deviations of the empirical d. f. of vector chance variables and a law of the iterated logarithm
    • J. Kiefer. On large deviations of the empirical d. f. of vector chance variables and a law of the iterated logarithm. Pacific J. Math., 11 :649-660, 1961.
    • (1961) Pacific J. Math. , vol.11 , pp. 649-660
    • Kiefer, J.1
  • 91
    • 34547208344 scopus 로고    scopus 로고
    • Mixture importance sampling and its application to the analysis of SRAM designs in the presence of rare event failures
    • R. Kanj, R. Joshi, and S. Nassif. Mixture importance sampling and its application to the analysis of SRAM designs in the presence of rare event failures. In Proc. IEEE/ACM Design Autom. Conf., 2006.
    • (2006) Proc. IEEE/ACM Design Autom. Conf.
    • Kanj, R.1    Joshi, R.2    Nassif, S.3
  • 95
    • 17544373132 scopus 로고
    • Ridge functions, sigmoidal functions and neural networks
    • E. W. Cheney, C. K. Chui, and L. L. Schumaker, editors, Academic Press, San Diego
    • W. Light. Ridge functions, sigmoidal functions and neural networks. In E. W. Cheney, C. K. Chui, and L. L. Schumaker, editors, Approximation Theory, VII. Academic Press, San Diego, 1992
    • (1992) Approximation Theory, VII
    • Light, W.1
  • 96
  • 100
    • 38248999102 scopus 로고
    • Fundamentality of ridge functions
    • V. Ya. Lin and A. Pinkus. Fundamentality of ridge functions. J. Approx. Theory, 75 :295-311, 1993.
    • (1993) J. Approx. Theory , vol.75 , pp. 295-311
    • Lin, V.Ya.1    Pinkus, A.2
  • 101
    • 84972564972 scopus 로고
    • Optimal reconstruction of a function from its projections
    • B. F. Logan and L. A. Shepp. Optimal reconstruction of a function from its projections. Duke Math. J., 42 :645-659, 1975.
    • (1975) Duke Math. J. , vol.42 , pp. 645-659
    • Logan, B.F.1    Shepp, L.A.2
  • 102
    • 0002704818 scopus 로고
    • A practical bayesian framework for backpropagation networks
    • D. J. C. MacKay. A practical Bayesian framework for backpropagation networks. Neural Computation, 4(3):448-472, 1992.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 448-472
    • MacKay, D.J.C.1
  • 103
    • 0002667327 scopus 로고    scopus 로고
    • On best approximation by ridge functions
    • V. E. Maiorov. On best approximation by ridge functions. J. Approx. Theory, 99 :68-94, 1999.
    • (1999) J. Approx. Theory , vol.99 , pp. 68-94
    • Maiorov, V.E.1
  • 104
    • 0000169232 scopus 로고
    • An algorithm for least squares estimation of non-linear parameters
    • D. Marquardt. An algorithm for least squares estimation of non-linear parameters. J. Soc. Indust. Appl. Math., 11 :431-441, 1963.
    • (1963) J. Soc. Indust. Appl. Math. , vol.11 , pp. 431-441
    • Marquardt, D.1
  • 105
    • 0000382131 scopus 로고    scopus 로고
    • L2-Discrepancy for anchored boxes
    • On the
    • J. Matousek. On the l2-discrepancy for anchored boxes. J. Complexity, 14(4):527-556, 1998.
    • (1998) J. Complexity , vol.14 , Issue.4 , pp. 527-556
    • Matousek, J.1
  • 106
    • 0018468345 scopus 로고
    • A comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    • M. D. McKay, R. J. Beckman, and W. J. Conover. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21(2):239-245, 1979.
    • (1979) Technometrics , vol.21 , Issue.2 , pp. 239-245
    • McKay, M.D.1    Beckman, R.J.2    Conover, W.J.3
  • 107
    • 0003260442 scopus 로고    scopus 로고
    • Combining statistical learning with a knowledge-based approach - A case study in intensive care monitoring
    • K. Morik, P. Brockhausen, and T. Joachims. Combining statistical learning with a knowledge-based approach - a case study in intensive care monitoring. In Proc. 16th Int. Conf. Machine Learning, 1999.
    • (1999) Proc. 16th Int. Conf. Machine Learning
    • Morik, K.1    Brockhausen, P.2    Joachims, T.3
  • 108
    • 0001563525 scopus 로고
    • Quasi-random sequences and their discrepancies
    • W. J. Morokoff and R. E. Caflisch. Quasi-random sequences and their discrepancies. SIAM J. Sci. Comp., 15(6):1251-1279, 1994.
    • (1994) SIAM J. Sci. Comp. , vol.15 , Issue.6 , pp. 1251-1279
    • Morokoff, W.J.1    Caflisch, R.E.2
  • 109
    • 0001243365 scopus 로고
    • Quasi-Monte carlo integration
    • W. J. Morokoff and R. E. Caflisch. Quasi-Monte Carlo integration. J. Comput. Phys., 122(2):218-230, 1995.
    • (1995) J. Comput. Phys. , vol.122 , Issue.2 , pp. 218-230
    • Morokoff, W.J.1    Caflisch, R.E.2
  • 110
    • 0002622180 scopus 로고    scopus 로고
    • Smoothness and dimension reduction in quasi-monte carlo methods
    • B. Moskowitz and R. E. Caflisch. Smoothness and dimension reduction in quasi-Monte Carlo methods.Math. Comput. Modelling, 23(8/9):37-54, 1996.
    • (1996) Math. Comput. Modelling , vol.23 , Issue.8-9 , pp. 37-54
    • Moskowitz, B.1    Caflisch, R.E.2
  • 111
    • 27944441297 scopus 로고    scopus 로고
    • An efficient algorithm for statistical minimization of total power under timing yield constraints
    • M. Mani, A. Devgan, and M. Orshansky. An efficient algorithm for statistical minimization of total power under timing yield constraints. In Proc. IEEE/ACM Design Autom. Conf., 2005.
    • (2005) Proc. IEEE/ACM Design Autom. Conf.
    • Mani, M.1    Devgan, A.2    Orshansky, M.3
  • 113
    • 0000358945 scopus 로고
    • Approximation by superposition of sigmoidal and radial basis functions
    • H. N. Mhaskar. Approximation by superposition of sigmoidal and radial basis functions. Adv. App. Math., 13 :350-373, 1992.
    • (1992) Adv. App. Math. , vol.13 , pp. 350-373
    • Mhaskar, H.N.1
  • 114
    • 0000041417 scopus 로고    scopus 로고
    • Neural networks for optimal approximation of smooth and analytic functions
    • H. N. Mhaskar. Neural networks for optimal approximation of smooth and analytic functions. Neural Computation, 8:164-177, 1996.
    • (1996) Neural Computation , vol.8 , pp. 164-177
    • Mhaskar, H.N.1
  • 117
    • 25144443976 scopus 로고    scopus 로고
    • Estimation of delay variations due to random-dopant fluctuations in nanoscale CMOS circuits
    • H. Mahmoodi, S. Mukhopadhyay, and K. Roy. Estimation of delay variations due to random-dopant fluctuations in nanoscale CMOS circuits. IEEE J. Solid-State Circuits, 40(3):1787-1796, 2005.
    • (2005) IEEE J. Solid-State Circuits , vol.40 , Issue.3 , pp. 1787-1796
    • Mahmoodi, H.1    Mukhopadhyay, S.2    Roy, K.3
  • 118
    • 51249194645 scopus 로고
    • A logical calculus of the ideas immanent in nervous activity
    • W. S. McCullough and W. Pitts. A logical calculus of the ideas immanent in nervous activity. Null. Math. Biophys., 5 :115-133, 1943.
    • (1943) Null. Math. Biophys. , vol.5 , pp. 115-133
    • McCullough, W.S.1    Pitts, W.2
  • 120
    • 0000997571 scopus 로고
    • Quasi-Monte carlo methods and pseudo-random numbers
    • H. Niederreiter. Quasi-Monte Carlo methods and pseudo-random numbers. Bull. Amer. Math. Soc., 84(6):957-1041, 1978.
    • (1978) Bull. Amer. Math. Soc. , vol.84 , Issue.6 , pp. 957-1041
    • Niederreiter, H.1
  • 121
    • 8344289793 scopus 로고
    • Point sets and sequences with small discrepancy
    • H. Niederreiter. Point sets and sequences with small discrepancy. Monatsh. Math., 104(4):273-337, 1987.
    • (1987) Monatsh. Math. , vol.104 , Issue.4 , pp. 273-337
    • Niederreiter, H.1
  • 122
    • 0002071152 scopus 로고
    • Low-discrepancy and low-dispersion sequences
    • H. Niederreiter. Low-discrepancy and low-dispersion sequences. J. Number Theory, 30 :51-70, 1988.
    • (1988) J. Number Theory , vol.30 , pp. 51-70
    • Niederreiter, H.1
  • 124
    • 0004525692 scopus 로고    scopus 로고
    • The algebraic geometric approach to low-discrepancy sequences
    • H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof, editors, Springer, New York
    • H. Niederreiter. The algebraic geometric approach to low-discrepancy sequences. In H. Niederreiter, P. Hellekalek, G. Larcher, and P. Zinterhof, editors, Monte Carlo and Quasi-Monte Carlo Methods 1996, pages 139-160. Springer, New York, 1998.
    • (1998) Monte Carlo and Quasi-Monte Carlo Methods 1996 , pp. 139-160
    • Niederreiter, H.1
  • 125
    • 0040642708 scopus 로고
    • On the problem of approximation estimate by quadrature formulas. in Russian
    • S. M. Nikolskij. On the problem of approximation estimate by quadrature formulas. Usp. Mat. Nauk, 5:165-177, 1950 (in Russian).
    • (1950) Usp. Mat. Nauk , vol.5 , pp. 165-177
    • Nikolskij, S.M.1
  • 126
    • 85013919983 scopus 로고    scopus 로고
    • Toward real-time pricing of complex financial derivatives
    • S. Ninomiya and S. Tezuka. Toward real-time pricing of complex financial derivatives. App. Math. Finance, 3(1):1-20, 1996.
    • (1996) App. Math. Finance , vol.3 , Issue.1 , pp. 1-20
    • Ninomiya, S.1    Tezuka, S.2
  • 127
    • 85013919983 scopus 로고    scopus 로고
    • Toward real-time pricing of complex financial derivatives
    • S. Ninomiya and S. Tezuka. Toward real-time pricing of complex financial derivatives. App. Math. Finance, 3(1):1-20, 1996.
    • (1996) App. Math. Finance , vol.3 , Issue.1 , pp. 1-20
    • Ninomiya, S.1    Tezuka, S.2
  • 128
    • 0025536870 scopus 로고
    • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
    • D. Nguyen and B. Widrow. Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. In Proc. Int. Joint Conf. Neural Networks, 1990.
    • (1990) Proc. Int. Joint Conf. Neural Networks
    • Nguyen, D.1    Widrow, B.2
  • 129
    • 0030194541 scopus 로고    scopus 로고
    • Low-discrepancy sequences and global function fields with many rational places
    • DOI 10.1006/ffta.1996.0016
    • H. Niederreiter and C. P. Xing. Low-discrepancy sequences and global function fields with many rational places. Finite Fields Appl., 2 :241-273, 1996. (Pubitemid 126167564)
    • (1996) Finite Fields and their Applications , vol.2 , Issue.3 , pp. 241-273
    • Niederreiter, H.1    Xing, C.2
  • 130
    • 7244253084 scopus 로고    scopus 로고
    • Randomized quasi-monte carlo methods in pricing securities
    • G. Ökten and W. Eastman. Randomized quasi-Monte Carlo methods in pricing securities. J. Econ. Dyn. Control, 28(12):2399-2426, 2004.
    • (2004) J. Econ. Dyn. Control , vol.28 , Issue.12 , pp. 2399-2426
    • Ökten, G.1    Eastman, W.2
  • 131
    • 0001491057 scopus 로고
    • Randomly permuted (t, m, s)-nets and (t, s)-sequences
    • H. Niederreiter and P. J.-S. Shiue, editors, Springer, New York
    • A. B. Owen. Randomly permuted (t, m, s)-nets and (t, s)-sequences. In H. Niederreiter and P. J.-S. Shiue, editors, Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, pages 299-317. Springer, New York, 1995.
    • (1995) Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing , pp. 299-317
    • Owen, A.B.1
  • 132
    • 0013036522 scopus 로고    scopus 로고
    • Monte carlo variance of scrambled net quadrature
    • A. B. Owen. Monte Carlo variance of scrambled net quadrature. J. Numer. Anal., 34(5):1884-1910, 1997.
    • (1997) J. Numer. Anal. , vol.34 , Issue.5 , pp. 1884-1910
    • Owen, A.B.1
  • 133
    • 0031509503 scopus 로고    scopus 로고
    • Scrambled net variance for integrals of smooth functions
    • A. B. Owen. Scrambled net variance for integrals of smooth functions. Ann. Stats., 25(4):1541-1562, 1997.
    • (1997) Ann. Stats. , vol.25 , Issue.4 , pp. 1541-1562
    • Owen, A.B.1
  • 134
    • 0031599238 scopus 로고    scopus 로고
    • Latin supercube sampling for very high-dimensional simulations
    • A. B. Owen. Latin supercube sampling for very high-dimensional simulations. ACM Trans. Modeling Comp. Sim., 8(1):71-102, 1998.
    • (1998) ACM Trans. Modeling Comp. Sim. , vol.8 , Issue.1 , pp. 71-102
    • Owen, A.B.1
  • 135
    • 0000828041 scopus 로고    scopus 로고
    • Scrambling sobol' and niederreiter-xing points
    • A. B. Owen. Scrambling Sobol' and Niederreiter-Xing points. J. Complexity, 14(4):466-489, 1998.
    • (1998) J. Complexity , vol.14 , Issue.4 , pp. 466-489
    • Owen, A.B.1
  • 136
    • 4243059534 scopus 로고    scopus 로고
    • Variance with alternative scramblings of digital nets
    • A. B. Owen. Variance with alternative scramblings of digital nets. ACM Trans. Modeling Comp. Sim., 13(4):363-378, 2003.
    • (2003) ACM Trans. Modeling Comp. Sim. , vol.13 , Issue.4 , pp. 363-378
    • Owen, A.B.1
  • 137
    • 0038713193 scopus 로고    scopus 로고
    • The dimension distribution and quadrature test functions
    • A. B. Owen. The dimension distribution and quadrature test functions. Stat. Sin., 13:1-17, 2003.
    • (2003) Stat. Sin. , vol.13 , pp. 1-17
    • Owen, A.B.1
  • 139
    • 0032283665 scopus 로고    scopus 로고
    • Approximation by ridge functions and neural networks
    • P. P. Petrushev. Approximation by ridge functions and neural networks. SIAM J. Math. Anal., 30(1):155-189, 1998.
    • (1998) SIAM J. Math. Anal. , vol.30 , Issue.1 , pp. 155-189
    • Petrushev, P.P.1
  • 141
    • 0001075431 scopus 로고
    • Statistical inference using extreme order statistics
    • J. Pickands III. Statistical inference using extreme order statistics. Ann. Stats., 3(1):119-131, 1975.
    • (1975) Ann. Stats. , vol.3 , Issue.1 , pp. 119-131
    • Pickands III, J.1
  • 142
    • 2442707909 scopus 로고    scopus 로고
    • A software implementation of niederreiter-xing sequences
    • K.-T. Fang, F. J. Hickernell, and H. Niederreiter, editors, Springer, New York
    • G. Pirsic. A software implementation of Niederreiter-Xing sequences. In K.-T. Fang, F. J. Hickernell, and H. Niederreiter, editors, Monte Carlo and Quasi-Monte Carlo Methods 2000, pages 434-445. Springer, New York, 2002.
    • (2002) Monte Carlo and Quasi-Monte Carlo Methods 2000 , pp. 434-445
    • Pirsic, G.1
  • 144
    • 0029692966 scopus 로고
    • Faster valuation of financial derivatives
    • S. Paskov and J. Traub. Faster valuation of financial derivatives. J. Portfolio Management, 22 :113-120, 1995.
    • (1995) J. Portfolio Management , vol.22 , pp. 113-120
    • Paskov, S.1    Traub, J.2
  • 146
    • 1942437871 scopus 로고
    • A fast algorithm to compute irreducible and primitive polynomials in finite fields
    • J. Rif'a and J. Borrell. A fast algorithm to compute irreducible and primitive polynomials in finite fields. Theory Comput. Syst., 28(1):13-20, 1995.
    • (1995) Theory Comput. Syst. , vol.28 , Issue.1 , pp. 13-20
    • Rif'a, J.1    Borrell, J.2
  • 150
    • 0001723141 scopus 로고
    • An automatic method for finding the greatest or least value of a function
    • H. H. Rosenbrock. An automatic method for finding the greatest or least value of a function. Computer J., 3:175-184, 1960.
    • (1960) Computer J. , vol.3 , pp. 175-184
    • Rosenbrock, H.H.1
  • 151
    • 37949004450 scopus 로고
    • On irregularities of distribution IV
    • K. F. Roth. On irregularities of distribution IV. Acta Arith., 37:67-75, 1980.
    • (1980) Acta Arith. , vol.37 , pp. 67-75
    • Roth, K.F.1
  • 152
    • 1642276264 scopus 로고    scopus 로고
    • Statistical analysis of subthreshold leakage current for VLSI circuits
    • R. Rao, A. Srivastava, D. Blaauw, and D. Sylvester. Statistical analysis of subthreshold leakage current for VLSI circuits. IEEE Trans. VLSI Syst., 12(2):131-139, 2004.
    • (2004) IEEE Trans. VLSI Syst. , vol.12 , Issue.2 , pp. 131-139
    • Rao, R.1    Srivastava, A.2    Blaauw, D.3    Sylvester, D.4
  • 154
    • 27144542410 scopus 로고
    • The fundamentality of sets of ridge functions
    • X. Sun and E. W. Cheney. The fundamentality of sets of ridge functions. Aequ. Math., 44 :226-235, 1992.
    • (1992) Aequ. Math. , vol.44 , pp. 226-235
    • Sun, X.1    Cheney, E.W.2
  • 155
    • 33847674696 scopus 로고    scopus 로고
    • Global sensitivity indices for nonlinear mathematical models. review
    • I. M. Sobol' and S. S. Kucherenko. Global sensitivity indices for nonlinear mathematical models. Review. Wilmott Magazine, 2:2-7, 2005.
    • (2005) Wilmott Magazine , vol.2 , pp. 2-7
    • Sobol, I.M.1    Kucherenko, S.S.2
  • 157
    • 0000704345 scopus 로고
    • Maximum likelihood estimation in a class of non-regular cases
    • R. L. Smith. Maximum likelihood estimation in a class of non-regular cases. Biometrika, 72 :67-92, 1985.
    • (1985) Biometrika , vol.72 , pp. 67-92
    • Smith, R.L.1
  • 158
    • 0001258027 scopus 로고
    • Estimating tails of probability distributions
    • R. L. Smith. Estimating tails of probability distributions. Ann. Stats., 15(3):1174-1207, 1987.
    • (1987) Ann. Stats. , vol.15 , Issue.3 , pp. 1174-1207
    • Smith, R.L.1
  • 159
    • 0001048297 scopus 로고
    • Quadrature and interpolation formulas for tensor products of certain classes of functions
    • S. Smolyak. Quadrature and interpolation formulas for tensor products of certain classes of functions. Dokl. Akad. Nauk SSSR, 4 :240-243, 1963.
    • (1963) Dokl. Akad. Nauk SSSR , vol.4 , pp. 240-243
    • Smolyak, S.1
  • 160
    • 49949136136 scopus 로고
    • The distribution of points in a cube and the approximate evaluation of integrals
    • English translation
    • I. M. Sobol'. The distribution of points in a cube and the approximate evaluation of integrals. U. S. S. R. Comp. Math. and Math. Phys., 7(4): 86-112, 1967 (English translation).
    • (1967) U. S. S. R. Comp. Math. and Math. Phys. , vol.7 , Issue.4 , pp. 86-112
    • Sobol, I.M.1
  • 161
    • 49349129696 scopus 로고
    • Uniformly distributed sequences with an additional uniform property
    • English translation
    • I. M. Sobol'. Uniformly distributed sequences with an additional uniform property. U. S. S. R. Comp. Math. and Math. Phys., 16:1332-1337, 1976 (English translation).
    • (1976) U. S. S. R. Comp. Math. and Math. Phys. , vol.16 , pp. 1332-1337
    • Sobol, I.M.1
  • 162
    • 0019592219 scopus 로고
    • Statistical design centering and tolerancing using parameter sampling
    • K. Singhal and J. F. Pinel. Statistical design centering and tolerancing using parameter sampling. IEEE Trans. Circuits Syst., 28(7):692-702, 1981.
    • (1981) IEEE Trans. Circuits Syst. , vol.28 , Issue.7 , pp. 692-702
    • Singhal, K.1    Pinel, J.F.2
  • 163
    • 0008078872 scopus 로고
    • Quasi-Monte carlo methods for particle transport problems
    • H. Niederreiter and P. J.-S. Shiue, editors, Springer, New York
    • J. Spanier. Quasi-Monte Carlo methods for particle transport problems. In H. Niederreiter and P. J.-S. Shiue, editors, Monte Carlo and Quasi- Monte Carlo Methods in Scientific Computing, pages 121-148. Springer, New York, 1995.
    • (1995) Monte Carlo and Quasi- Monte Carlo Methods in Scientific Computing , pp. 121-148
    • Spanier, J.1
  • 164
    • 34547312948 scopus 로고    scopus 로고
    • Beyond low-order statistical response surfaces: Latent variable regression for efficient
    • highly nonlinear fitting
    • A. Singhee and R. A. Rutenbar. Beyond low-order statistical response surfaces: latent variable regression for efficient, highly nonlinear fitting. In Proc. IEEE/ACM Design Autom. Conf., 2007.
    • (2007) Proc. IEEE/ACM Design Autom. Conf.
    • Singhee, A.1    Rutenbar, R.A.2
  • 165
    • 34548124914 scopus 로고    scopus 로고
    • From finance to flip-flops: A study of fast quasi-monte carlo methods from computational finance applied to statistical circuit analysis
    • A. Singhee and R. A. Rutenbar. From finance to flip-flops: a study of fast quasi-Monte Carlo methods from computational finance applied to statistical circuit analysis. In Proc. Int. Symp. Quality Electronic Design, 2007.
    • (2007) Proc. Int. Symp. Quality Electronic Design
    • Singhee, A.1    Rutenbar, R.A.2
  • 166
    • 34548303547 scopus 로고    scopus 로고
    • Statistical blockade: A novel method for very fast monte carlo simulation of rare circuit events, and its application
    • A. Singhee and R. A. Rutenbar. Statistical Blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application. In Proc. Design Autom. Test Europe, 2007.
    • (2007) Proc. Design Autom. Test Europe
    • Singhee, A.1    Rutenbar, R.A.2
  • 167
    • 0023349730 scopus 로고
    • Large sample properties of simulations using latin hypercube sampling
    • M. Stein. Large sample properties of simulations using Latin hypercube sampling. Technometrics, 29(2):143-151, 1987.
    • (1987) Technometrics , vol.29 , Issue.2 , pp. 143-151
    • Stein, M.1
  • 170
    • 47649084200 scopus 로고    scopus 로고
    • Recursive statistical blockade: An enhanced technique for rare event simulation with application to SRAM circuit design
    • A. Singhee, J. Wang, B. H. Calhoun, and R. A. Rutenbar. Recursive Statistical Blockade: an enhanced technique for rare event simulation with application to SRAM circuit design. In Proc. Int. Conf. VLSI Design, 2008.
    • (2008) Proc. Int. Conf. VLSI Design
    • Singhee, A.1    Wang, J.2    Calhoun, B.H.3    Rutenbar, R.A.4
  • 171
    • 0027578551 scopus 로고
    • Polynomial arithmetic analogue of halton sequences
    • S. Tezuka. Polynomial arithmetic analogue of Halton sequences. ACM Trans. Modeling Comp. Sim., 3(2):99-107, 1993.
    • (1993) ACM Trans. Modeling Comp. Sim. , vol.3 , Issue.2 , pp. 99-107
    • Tezuka, S.1
  • 173
    • 27144502438 scopus 로고    scopus 로고
    • On the necessity of low-effective dimension
    • S. Tezuka. On the necessity of low-effective dimension. J. Complexity, 21:710-721, 2005.
    • (2005) J. Complexity , vol.21 , pp. 710-721
    • Tezuka, S.1
  • 175
    • 78149496962 scopus 로고
    • Approximation of continuous functions by superpositions of plane waves
    • B. A. Vostrecov and M. A. Kreines. Approximation of continuous functions by superpositions of plane waves. Soviet Math. Dokl., 2:1326-1329, 1961.
    • (1961) Soviet Math. Dokl. , vol.2 , pp. 1326-1329
    • Vostrecov, B.A.1    Kreines, M.A.2
  • 176
    • 0011167279 scopus 로고
    • La distribution de la plus grande de n valeurs
    • American Mathematical Society, Providence
    • R. von Mises. La distribution de la plus grande de n valeurs. In Selected Papers 2, pages 271-294. American Mathematical Society, Providence, 1936.
    • (1936) Selected Papers 2 , pp. 271-294
    • Von Mises, R.1
  • 178
    • 0002239882 scopus 로고
    • Computational investigations of low discrepancy point sets
    • S. K. Zaremba, editor, Academic Press, New York
    • T. T. Warnock. Computational investigations of low discrepancy point sets. In S. K. Zaremba, editor, Applications of Number Theory to Numerical Analysis, pages 319-343. Academic Press, New York, 1972.
    • (1972) Applications of Number Theory to Numerical Analysis , pp. 319-343
    • Warnock, T.T.1
  • 179
    • 0037389675 scopus 로고    scopus 로고
    • The effective dimension and quasi-monte carlo integration
    • X. Wang and K.-T. Fang. The effective dimension and quasi-Monte Carlo integration. J. Complexity, 19(2):101-124, 2003.
    • (2003) J. Complexity , vol.19 , Issue.2 , pp. 101-124
    • Wang, X.1    Fang, K.-T.2
  • 181
    • 84967790439 scopus 로고
    • Average case complexity of multivariate integration
    • H. Wo'zniakowski. Average case complexity of multivariate integration. Bull. Amer. Math. Soc., 24(1):185-194, 1991.
    • (1991) Bull. Amer. Math. Soc. , vol.24 , Issue.1 , pp. 185-194
    • Wo'zniakowski, H.1
  • 182
    • 0001681052 scopus 로고
    • The collinearity problem in linear regression. the partial least squares (PLS) approach to generalized inverses
    • S. Wold, A. Ruhe, H. Wold, and W. J. Dunn, III. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses. J. Sci. Stat. Comput., 5(3):735-743, 1984.
    • (1984) J. Sci. Stat. Comput. , vol.5 , Issue.3 , pp. 735-743
    • Wold, S.1    Ruhe, A.2    Wold, H.3    Dunn III, W.J.4
  • 183
    • 38549165819 scopus 로고    scopus 로고
    • Low discrepancy sequences in high dimensions: How well are their projections distributed?
    • X. Wang and I. H. Sloan. Low discrepancy sequences in high dimensions: how well are their projections distributed? J. Comput. Appl. Math., 213(2):366-386, 2008.
    • (2008) J. Comput. Appl. Math. , vol.213 , Issue.2 , pp. 366-386
    • Wang, X.1    Sloan, I.H.2
  • 186
    • 21844527203 scopus 로고
    • A construction of low-discrepancy sequences using global function fields
    • C. P. Xing and H. Niederreiter. A construction of low-discrepancy sequences using global function fields. Acta Arith., 73:87-102, 1995. (Pubitemid 126010776)
    • (1995) Acta Arithmetica , vol.73 , Issue.1 , pp. 87-102
    • Xing, C.P.1    Niederreiter, H.2
  • 187
    • 25844521485 scopus 로고
    • Statistical performance modeling and parametric yield estimation of MOS VLSI
    • T.-K. Yu, S. M. Kang, I. N. Hajj, and T. N. Trick. Statistical performance modeling and parametric yield estimation of MOS VLSI. IEEE Trans. Computer-Aided Design, 6(6):1013-1022, 1987.
    • (1987) IEEE Trans. Computer-Aided Design , vol.6 , Issue.6 , pp. 1013-1022
    • Yu, T.-K.1    Kang, S.M.2    Hajj, I.N.3    Trick, T.N.4
  • 188
    • 33750600861 scopus 로고    scopus 로고
    • New generation of predictive technology model for sub-45 nm early design exploration
    • W. Zhao and Y. Cao. New generation of predictive technology model for sub-45 nm early design exploration. IEEE Trans. Electron Devices, 53(11):2816-2823, 2006.
    • (2006) IEEE Trans. Electron Devices , vol.53 , Issue.11 , pp. 2816-2823
    • Zhao, W.1    Cao, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.