1.
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by Anita Schöbel
2.
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by Vitaliy Feoktistov
3.
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edited by Leo Liberti, Nelson Maculan
出版情報:
Boston, MA : Springer Science+Business Media, Inc., 2006
シリーズ名:
Nonconvex Optimization and Its Applications ; 84
子書誌情報:
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オンライン:
http://dx.doi.org/10.1007/0-387-30528-9
所蔵情報:
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4.
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by Glenn Hurlbert
5.
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by Rafael Martí, Gerhard Reinelt
6.
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by Carlos A.S. Oliveira, Panos M. Pardalos
7.
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by Lacra Pavel
8.
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by Jørgen Bang-Jensen, Gregory Z. Gutin
9.
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edited by Luc Pronzato, Anatoly Zhigljavsky
10.
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by Ronald W. Shonkwiler, Franklin Mendivil
11.
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edited by Christodoulos A. Floudas, Panos M. Pardalos
12.
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by Daniel Scholz
13.
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edited by Roger Z. Ríos-Mercado, Yasmín A. Ríos-Solís
14.
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edited by Vladimir L. Boginski, Clayton W. Commander, Panos M. Pardalos, Yinyu Ye
15.
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by Zhening Li, Simai He, Shuzhong Zhang
目次情報:
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1. Introduction.-2. Polynomial over the Euclidean Ball
3. Extensions of the Constraint Sets
4. Applications
5. Concluding Remarks
1. Introduction.-2. Polynomial over the Euclidean Ball
3. Extensions of the Constraint Sets
4. Applications
16.
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by Adam B. Levy
17.
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by Boris Goldengorin, Panos M. Pardalos
18.
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by Leping Yang, Yanwei Zhu, Xianhai Ren, Yuanwen Zhang
19.
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edited by Abul Hasan Siddiqi, Pammy Manchanda, Rashmi Bhardwaj
目次情報:
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Cryptography Based Chaos via Geometric Undersampling of Ring-Coupled Attractors
Soft Computing Techniques and Their Applications
Integral Geometry and Mathematical Problems of Image Reconstruction
Microlocal Analysis of Some Synthetic Aperture Radar Imaging Problems
Cubic Spline Approximation for Two Dimensional Non-linear Elliptic Boundary Value Problems
Pricing of Path Dependent European Type Options Using Monte-Carlo Simulation
On the Finite Element Approximation of the Impulse Control Quasivariational Inequality
The Periodic Petrol Station Replenishment Problem: An Overview
Nanotechnology and Mathematics: Study of Non-linear Dynamic Vibration in Single Walled Carbon Nanotubes(SWNTs)
Generalized Monotone Mapping with Applications
Wavelet and Fractal Methods with Environmental Applications
A Novel Algorithm by Context Modeling of Medical Image Compression with Discrete Wavelet Transform
Srinivasa Ramanujan: A Creative Genius
Estimation of Longitudinal Diffusivity in Laminar/Turbulent flow through curved channels with absorbing boundaries using Method of Moments
Recent Advances in Compressive Sensing
Emergence of Shearlets and its Applications
Application of CAS wavelets in Numerical Evaluation of Hankel Transforms Arising in Seismology
Cryptography Based Chaos via Geometric Undersampling of Ring-Coupled Attractors
Soft Computing Techniques and Their Applications
Integral Geometry and Mathematical Problems of Image Reconstruction
20.
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by J. A. Bondy, U. S. R. Murty
21.
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by Philine Schiewe
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名:
Springer Optimization and Its Applications ; 160
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-030-46270-3
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目次情報:
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1. Introduction
2. Integrating Timetabling and Passenger Routing
3. Integrating Line Planning, Timetabling and Passenger Routing
4. Integrating Timetabling and Vehicle Scheduling
5. Integrating Line Planning, Timetabling, Passenger Routing and Vehicle Scheduling
6. Two Heuristic Approaches for Integrating Public Transport Problems
General Multi-Stage Problems
8. Discussion and Conclusion
Outlook.-A. Supplementary Material.-B. Frequently Used Notation
Bibliography
1. Introduction
2. Integrating Timetabling and Passenger Routing
3. Integrating Line Planning, Timetabling and Passenger Routing
22.
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by Loïc Brevault, Mathieu Balesdent, Jérôme Morio
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名:
Springer Optimization and Its Applications ; 156
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-030-39126-3
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目次情報:
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Part I Aerospace system multidisciplinary modeling and uncertainty characterization
1 Multidisciplinary system modeling and optimization
2 Uncertainty characterization and modeling
Part II Single discipline problem: uncertainty propagation, reliability analysis and optimization
3 Uncertainty propagation and sensitivity analysis
4 Reliability analysis
5 Problem formulations and optimization algorithms
Part III Multidisciplinary Optimization under uncertainty
6 Uncertainty propagation for multidisciplinary problems
7 Uncertainty-based MDO
Part IV MDO related issues: multi-fidelity, multi-objective and mixed continuous
discrete optimization
8 Multi-fidelity for MDO using Gaussian Processes
9 Multi-objective and mixed MDO
Part V Case studies
10 Civil aircraft vehicle design
11 Blended Wing Body design
12 Expendable and reusable launch vehicle design
Appendix: List of librairies used for the simulations
Part I Aerospace system multidisciplinary modeling and uncertainty characterization
1 Multidisciplinary system modeling and optimization
2 Uncertainty characterization and modeling
23.
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by Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名:
Springer Optimization and Its Applications ; 188
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-030-90908-6
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目次情報:
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-Preface
Introduction
List of symbols and abbreviations
1. Elements of the computing theory
2. Theories of computational complexity
3. Interlination of functions
4. Interflatation of functions
5. Cubature formulae using interlanation functions
6. Testing the quality of algorithm programs
7. Computer technologies of solving problems of computational and applied mathematics with fixed values of quality characteristics
Bilbiography
Index
About the Authors
-Preface
Introduction
List of symbols and abbreviations
24.
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edited by Abdeljalil Nachaoui, Abdelilah Hakim, Amine Laghrib
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名:
Springer Proceedings in Mathematics & Statistics ; 372
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-030-83442-5
所蔵情報:
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目次情報:
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F. Labdiad, M. Nasri, H. Khalfi, and I. Hafidi, VRP with Flexible Time Windows using the ALNS Metaheuristic Algorithm
N. Mehdi, M. Abdelmoutalib, H. Imad, VRPTW: From mathematical models to computing science tools
An anisotropic PDE for multi-frame super-resolution image reconstruction
A. Nachaoui, F. Aboud, and M. Nachaoui, Acceleration of the KMF algorithm convergence to solve the Cauchy problem for Poisson's Equation
S. LYAQINI and M. NACHAOUI, Identification of genuine from fake banknotes using an enhanced machine learning approach
L. AFRAITES, Identification of Robin coefficient in elliptic problem by a coupled complex boundary method
M. NACHAOUI, A. LAGHRIB, and M. Hakim, A new space-variant optimization approach for image segmentation
Y. Mezzan1 and M. H. Tber, A Lagrangian mixed finite elements method for advection-diffusion equations
J.-A. Desideri, Adaptation by Nash Games in gradient-based multi-objective/multi-disciplinary optimization
A. Ghazdali, A. Metrane, A. Ourdou, Blind Noisy Mixture Separation for Dependent Source
Blind Separation of Dependent Sources Using Copula
F. Labdiad, M. Nasri, H. Khalfi, and I. Hafidi, VRP with Flexible Time Windows using the ALNS Metaheuristic Algorithm
N. Mehdi, M. Abdelmoutalib, H. Imad, VRPTW: From mathematical models to computing science tools
An anisotropic PDE for multi-frame super-resolution image reconstruction
25.
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edited by Susana Relvas, João Paulo Almeida, José Fernando Oliveira, Alberto Adrego Pinto
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2021
シリーズ名:
Springer Proceedings in Mathematics & Statistics ; 374
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-030-85476-8
所蔵情報:
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目次情報:
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A. R. Aguiar, C. Soares de Morais, T. R. Pereira Ramos and A. P. Barbosa-Póvoa, Searching for a solution method for the Smart Waste Collection Routing Problem
D. Câmara, T. Pinto-Varela and A. P. Barbosa-Póvoa, A multi-objective and multi-period model to the design and operation of a hydrogen supply chain: an applied case in Portugal
A. A. Filho and H. F. Silva, The E-constrained method to solve a bi-objective problem of sustainable cultivation
R. Macedo, F. Coelho, S. Relvas and A. Barbosa-Póvoa, In-house logistics operations enhancement in the automobile industry using simulation
A. Moghanni and M. Pascoal, The rough interval shortest path problem
T. Monteiro, J. P. Pedroso, A. Viana and X. Klimentova, Reinforcement Learning for Robust Optimization: an Application in Kidney Exchange Programs
M. Oliveira and I. Marques, Facing dynamic demand for surgeries in a Portuguese case study
Ó. Oliveira, D. Gamboa and E. Silva, Adaptive Sequence-based Heuristic for Two-Dimensional Non-Guillotine Packing Problems
M. T. Pereira, C. Lopes, L. P. Ferreira and S. Oliveira, A CVRP Model for an In-plant Milk Run System
J. P. Ribeiro, B. Mota and A. Barbosa-Póvoa, Merging Resilience and Sustainability in Supply Chain Design
F. K. Setti, Carla A. S. Geraldes, J. P. Almeida and M. G. Trentin, Analysis and Optimisation of a Production Line Using Discrete Simulation
Cátia da Silva, A. Carvalho and A. Barbosa-Póvoa, Design and Planning of Green Supply Chains with Risk Concerns
M. Simões, R. Rocha and A. Camanho, Benchmarking Smart Grid Research & Development engagement by European Distribution System Operators
M. Vieira, F. Coelho, Cátia da Silva, B. Mota, J. Guapo, R. Macedo, B. Gonçalves, S. Moniz, T. Pinto-Varela, A. Carvalho, S. Relvas and A. P. Barbosa-Póvoa, Towards an integrated decision-support framework for the new generation of manufacturing systems
A. R. Aguiar, C. Soares de Morais, T. R. Pereira Ramos and A. P. Barbosa-Póvoa, Searching for a solution method for the Smart Waste Collection Routing Problem
D. Câmara, T. Pinto-Varela and A. P. Barbosa-Póvoa, A multi-objective and multi-period model to the design and operation of a hydrogen supply chain: an applied case in Portugal
A. A. Filho and H. F. Silva, The E-constrained method to solve a bi-objective problem of sustainable cultivation
26.
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edited by Dipti Singh, Vanita Garg, Kusum Deep
目次情報:
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AN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS
Particle Swarm Optimization and its Applications in the Manufacturing Industry
Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions
Advanced Selection Operation for Differential Evolution Algorithm
Profit Optimization of Two-Unit Briquetting System using grey wolf Optimization algorithm
Solving Portfolio optimization using Sine-cosine Algorithm embedded mutation operations
Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique
SINGLE IMAGE REFLECTION REMOVAL USING DEEP LEARNING
Social media analysis: A tool for popularity prediction using machine learning classifiers
AN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS
Particle Swarm Optimization and its Applications in the Manufacturing Industry
Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions
27.
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by Arun Mozhi Devan Panneer Selvam, Fawnizu Azmadi Hussin, Rosdiazli Ibrahim, Kishore Bingi, Nagarajapandian M.
目次情報:
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Introduction
Fractional-order Predictive PI Controller for Dead-time Process Plants
Hybrid Iterative Learning Controller Based Fractional-order Predictive PI Controller
Development of Proposed Fractional-order Filtering Techniques
Development of the Proposed Arithmetic-Trigonometric Optimization Algorithm
Appendix
Introduction
Fractional-order Predictive PI Controller for Dead-time Process Plants
Hybrid Iterative Learning Controller Based Fractional-order Predictive PI Controller
28.
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by Neculai Andrei
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名:
Springer Optimization and Its Applications ; 195
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-031-08720-2
所蔵情報:
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目次情報:
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1. Introduction
2. Fundamentals on unconstrained optimization.-3 . Steepest descent method
4. Newton method
5. Conjugate gradient methods
6. Quasi-Newton methods
7. Inexact Newton method
8. Trust-region method
9. Direct methods for unconstrained optimization
10. Constrained nonlinear optimization methods
11. Optimality conditions for nonlinear optimization
12. Simple bound optimization
13. Quadratic programming
14. Penalty and augmented Lagrangian
15. Sequential quadratic programming
16. Generalized reduced gradient with sequential linearization. (CONOPT) - 17. Interior-point methods
18. Filter methods
19. Interior-point filter line search (IPOPT)
Direct methods for constrained optimization
20. Direct methods for constrained optimization
Appendix A. Mathematical review
Appendix B. SMUNO collection. Small scale optimization applications
Appendix C. LACOP collection. Large-scale continuous nonlinear optimization applications
Appendix D. MINPACK-2 collection. Large-scale unconstrained optimization applications
References
Author Index
Subject Index
1. Introduction
2. Fundamentals on unconstrained optimization.-3 . Steepest descent method
4. Newton method
29.
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by Ding-Zhu Du, Panos M. Pardalos, Xiaodong Hu, Weili Wu
出版情報:
Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名:
Springer Optimization and Its Applications ; 196
子書誌情報:
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オンライン:
https://doi.org/10.1007/978-3-031-10596-8
所蔵情報:
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目次情報:
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1. Introduction.-2. Divide-and-Conquer
3. Dynamic Programming and Shortest Path
4. Greedy Algorithm and Spanning Tree
5. Incremental Method and Maximum Network Flow
6. Linear Programming
7. Primal-Dual Methods and Minimum Cost Flow
8. NP-hard Problems and Approximation Algorithms
9. Restriction and Steiner Tree
10. Greedy Approximation and Submodular Optimization
11. Relaxation and Rounding. 12. Nonsubmodular Optimization
Bibliography
1. Introduction.-2. Divide-and-Conquer
3. Dynamic Programming and Shortest Path
4. Greedy Algorithm and Spanning Tree
30.
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by Rafael Martí, Gerhard Reinelt
目次情報:
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1 Introduction
2 Heuristic Methods
3 Meta-Heuristics
4 Branch-and-Bound
5 Branch-and-Cut
6 The Linear Ordering Polytope
7 Further Aspects
References
Index
1 Introduction
2 Heuristic Methods
3 Meta-Heuristics
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