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1. Functional Approach to Optimal Experimental Design
by Viatcheslav B. Melas
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Lecture Notes in Statistics ; 184
オンライン: http://dx.doi.org/10.1007/0-387-31610-8
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2. Bayesian Computation with R
by Jim Albert
出版情報: New York, NY : Springer-Verlag New York, 2009
オンライン: http://dx.doi.org/10.1007/978-0-387-92298-0
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3. Optimization. 2nd ed. 2013
by Kenneth Lange
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Texts in Statistics ; 95
オンライン: http://dx.doi.org/10.1007/978-1-4614-5838-8
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目次情報: 続きを見る
Elementary Optimization
The Seven C’s of Analysis
The Gauge Integral
Differentiation
Karush-Kuhn-Tucker Theory
Convexity
Block Relaxation
The MM Algorithm
The EM Algorithm
Newton’s Method and Scoring
Conjugate Gradient and Quasi-Newton
Analysis of Convergence
Penalty and Barrier Methods
Convex Calculus
Feasibility and Duality
Convex Minimization Algorithms
The Calculus of Variations
Appendix: Mathematical Notes
References
Index
Elementary Optimization
The Seven C’s of Analysis
The Gauge Integral
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4. Proceedings of the International Conference on Health Care Systems Engineering
edited by Andrea Matta, Jingshan Li, Evren Sahin, Ettore Lanzarone, John Fowler
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 61
オンライン: http://dx.doi.org/10.1007/978-3-319-01848-5
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Home care services delivery: equity versus efficiency in optimization models
Redesigning organ allocation boundaries for  liver transplantation in the United States
A routing problem for test sample collection in home health care
A two-stage approach for solving assignment and routing problems in home health care services
Applying the cardinality–constrained approach in health care systems: the home care example
Synchronization between human resources in home health care context
Simulation-based analysis of patient flow in elective surgery
Optimizing efficiency and operations at a large California  safety-net endoscopy center: A modeling and simulation approach
Analysis of Gastroenterology (GI) clinic: A systems approach
Operating room joint planning and scheduling
Risk-aware scheduling of elective surgeries
Investigating the relationship between resources balancing and robustness in master surgical scheduling
Expert’s evaluation of innovative surgical instrument and operative procedure using haptic interface in virtual reality
A robust optimization approach for the operating room planning problem with uncertain surgery duration
The methodological approach to process analysis for robotic surgical procedures: the experience of SAFROS and I-SUR projects
A whole-system approach to identify the sources of variation in patient flow
A broader view on health care system design and modeling
Epidemic state estimation with syndromic surveillance and ILI data using particle filter
A decision-making approach supporting hospital drug logistics
Analyzing the impact of lean approach in pharmaceutical supply chain
Portable optokinetic stimulator for vestibular rehabilitation
Modeling and simulation of French extended white plan: A hospital evacuation before a forecasted flood
Using simulation to analyze patient flows in a hospital emergency department in Hong Kong
Managing a fleet of ambulances to respond to emergency and transfer patient transportation demands
Home care services delivery: equity versus efficiency in optimization models
Redesigning organ allocation boundaries for  liver transplantation in the United States
A routing problem for test sample collection in home health care
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5. Bayesian Computation with R
edited by Jim Albert
出版情報: New York : Springer Science+Business Media, LLC, 2007
シリーズ名: Use R! ;
オンライン: http://dx.doi.org/10.1007/978-0-387-71385-4
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6. Advances in Mathematical and Statistical Modeling
edited by Roberto Minguez, Jose-Maria Sarabia, N. Balakrishnan, Barry C. Arnold
出版情報: Boston : Birkhäuser Boston, 2008
シリーズ名: Statistics for Industry and Technology ;
オンライン: http://dx.doi.org/10.1007/978-0-8176-4626-4
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7. Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2020, Oxford, United Kingdom, August 10–14. 1st ed. 2022
edited by Alexander Keller
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 387
オンライン: https://doi.org/10.1007/978-3-030-98319-2
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目次情報: 続きを見る
The MCQMC Conference Series
The MCQMC Conference Series: P. L’Ecuyer and F. Puchhammer, Density Estimation by Monte Carlo and Quasi-Monte Carlo
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, and Aleksei G. Sorokin, Quasi-Monte Carlo Software
Part II Regular Talks: P. L’Ecuyer, P. Marion, M. Godin, and F. Puchhamme, A Tool for Custom Construction of QMC and RQMC Point Sets
Art B. Owen, On Dropping the first Sobol’ Point
C. Lemieux and J. Wiart, On the Distribution of Scrambled Nets over Unanchored Boxes
S. Heinrich, Lower Bounds for the Number of Random Bits in Monte Carlo Algorithms
N. Binder, S. Fricke, and A. Keller, Massively Parallel Path Space Filtering
M. Hird, S. Livingstone, and G. Zanella, A fresh Take on ‘Barker Dynamics’ for MCMC
P. Blondeel, P. Robbe, S. François, G. Lombaert and S. Vandewalle, On the Selection of Random Field Evaluation Points in the p-MLQMC Method
S. Si, Chris. J. Oates, Andrew B. Duncan, L. Carin, and François-Xavier Briol, Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
Andrei S. Cozma and C. Reisinger, Simulation of Conditional Expectations under fast mean-reverting Stochastic Volatility Models
M. Huber, Generating from the Strauss Process using stitching
R. Nasdala and D. Potts, A Note on Transformed Fourier Systems for the Approximation of Non-Periodic Signals
M. Hofert, A. Prasad, and Mu Zhu, Applications of Multivariate Quasi-Random Sampling with Neural Networks
A. Keller and Matthijs Van keirsbilck, Artificial Neural Networks generated by Low Discrepancy Sequences
The MCQMC Conference Series
The MCQMC Conference Series: P. L’Ecuyer and F. Puchhammer, Density Estimation by Monte Carlo and Quasi-Monte Carlo
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, and Aleksei G. Sorokin, Quasi-Monte Carlo Software