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1

Razumikhin, B. S. Classical Principles and Optimization Problems. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3995-0.

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2

Razumikhin, Boris Sergeevich. Classical principles and optimization problems. D. Reidel Pub. Co., 1987.

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3

Yukich, Joseph E. Probability Theory of Classical Euclidean Optimization Problems. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0093472.

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4

Yukich, Joseph. Probability theory of classical Euclidean optimization problems. Springer, 1998.

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5

service), SpringerLink (Online, ed. Calculus of Variations, Classical and Modern. Springer-Verlag Berlin Heidelberg, 2011.

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6

Helton, J. William. Classical control using H [infinity] methods: Theory, optimization, and design. SIAM, 1998.

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7

Vasiljević, Darko. Classical and Evolutionary Algorithms in the Optimization of Optical Systems. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1051-2.

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8

Vasiljević, Darko. Classical and evolutionary algorithms in the optimization of optical systems. Kluwer Academic Publishers, 2002.

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9

Vasiljević, Darko. Classical and Evolutionary Algorithms in the Optimization of Optical Systems. Springer US, 2002.

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10

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Springer Berlin Heidelberg, 2001.

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11

Evripidis, Bampis, Jansen Klaus, and Kenyon Claire, eds. Efficient approximation and online algorithms: Recent progress on classical combinatorical optimization problems and new applications. Springer, 2006.

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12

Evripidis, Bampis, Jansen Klaus, and Kenyon Claire, eds. Efficient approximation and online algorithms: Recent progress on classical combinatorical optimization problems and new applications. Springer, 2006.

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13

Oliva, Diego, Arturo Valdivia, Seyed Jalaleddin Mousavirad, and Kanak Kalita, eds. Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-78440-8.

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14

Choi-Hong, Lai, and Wu Xiao-Jun, eds. Particle swarm optimisation: Classical and quantum perspectives. CRC Press, 2011.

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15

1949-, Houtte Paul van, Mornex Françoise, and International Association for the Study of Lung Cancer., eds. Treatment optimization for lung cancer: From classical to innovative procedures : IASLC international workshop, 24-27 June, 1998, Annecy, France. Elsevier, 1998.

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16

Glovackaya, Alevtina. Computational model. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1013723.

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The textbook covers the basics of classical numerical methods of computational mathematics used for solving linear and nonlinear equations and systems; interpolation and approximation of functions; numerical integration and differentiation; solutions of ordinary differential equations by methods of one-dimensional and multidimensional optimization. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for students of higher educational institutions studying in the discipline "Numerical methods".
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17

P, Minicozzi William, ed. A course in minimal surfaces. American Mathematical Society, 2011.

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18

Jakobson, Dmitry, Pierre Albin, and Frédéric Rochon. Geometric and spectral analysis. American Mathematical Society, 2014.

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19

Carlier, Guillaume. Classical and Modern Optimization. World Scientific Publishing UK Limited, 2021.

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20

Carlier, Guillaume. Classical and Modern Optimization. WORLD SCIENTIFIC (EUROPE), 2021. http://dx.doi.org/10.1142/q0314.

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21

Carlier, Guillaume. Classical and Modern Optimization. World Scientific Publishing UK Limited, 2021.

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22

Razumikhin, B. S. Classical Principles and Optimization Problems. Springer, 2012.

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23

Razumikhin, B. S. Classical Principles and Optimization Problems. Springer, 2012.

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24

Razumikhin, B. S. Classical Principles and Optimization Problems. Springer, 2013.

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25

Roy, Debasish Kumar, and Visweswara Rao G. Elements of Classical and Geometric Optimization. CRC Press LLC, 2023.

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26

Roy, Debasish Kumar, and Visweswara Rao G. Elements of Classical and Geometric Optimization. Taylor & Francis Group, 2023.

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27

Yukich, Joseph E. Probability Theory of Classical Euclidean Optimization Problems. Springer London, Limited, 2006.

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28

Handbook Of Optimization From Classical To Modern Approach. Springer, 2012.

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29

Classical and Recent Aspects of Power System Optimization. Elsevier, 2018. http://dx.doi.org/10.1016/c2016-0-03379-x.

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30

Handbook of Optimization: From Classical to Modern Approach. Springer Berlin / Heidelberg, 2016.

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31

Zobaa, Ahmed, Shady H. E Abdel Aleem, and Almoataz Youssef Abdelaziz. Classical and Recent Aspects of Power System Optimization. Elsevier Science & Technology, 2018.

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32

Abraham, Ajith, Ivan Zelinka, and Vaclav Snasael. Handbook of Optimization: From Classical to Modern Approach. Springer, 2012.

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33

Abraham, Ajith, Ivan Zelinka, and Vaclav Snasael. Handbook of Optimization: From Classical to Modern Approach. Springer London, Limited, 2012.

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34

Zobaa, Ahmed F., Almoataz Youssef Abdelaziz, and Shady Abdel Aleem. Classical and Recent Aspects of Power System Optimization. Elsevier Science & Technology Books, 2018.

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35

Snyman, Jan A. Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization). Springer, 2005.

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36

Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization). Springer, 2005.

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37

Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-based Algorithms (Applied Optimization Book 97). Springer US, 2005.

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38

Lai, Choi-Hong, Jun Sun, and Xiao-Jun Wu. Particle Swarm Optimisation: Classical and Quantum Perspectives. Taylor & Francis Group, 2016.

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39

Lai, Choi-Hong, Jun Sun, and Xiao-Jun Wu. Particle Swarm Optimisation: Classical and Quantum Perspectives. Taylor & Francis Group, 2016.

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40

Sun, Jun. Particle Swarm Optimisation: Classical and Quantum Perspectives. Taylor & Francis Group, 2013.

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41

Keller, Andre A. Multi-Objective Optimization in Theory and Practice I: Classical Methods. BENTHAM SCIENCE PUBLISHERS, 2017. http://dx.doi.org/10.2174/97816810856851170101.

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42

Classical and Evolutionary Algorithms in the Optimization of Optical Systems. Island Press, 2002.

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43

Vasiljevic, Darko. Classical and evolutionary algorithms in the optimization of optical systems. 2002.

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44

New Optimization Models and Methods for Classical, Infinite-Dimensional, and Online Fisher Markets. [publisher not identified], 2022.

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45

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes. Springer International Publishing AG, 2021.

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46

Belzer, Jack, Albert G. Holzman, and Allen Kent. Encyclopedia of Computer Science and Technology: Volume 5 - Classical Optimization to Computer Output/Input Microform. Taylor & Francis Group, 2021.

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47

Belzer, Jack, Albert G. Holzman, and Allen Kent. Encyclopedia of Computer Science and Technology: Volume 5 - Classical Optimization to Computer Output/Input Microform. Taylor & Francis Group, 2021.

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48

Belzer, Jack, Albert G. Holzman, and Allen Kent. Encyclopedia of Computer Science and Technology: Volume 5 - Classical Optimization to Computer Output/Input Microform. Taylor & Francis Group, 2021.

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49

Khan, Aman. Cost and Optimization in Government. Greenwood Publishing Group, Inc., 2000. http://dx.doi.org/10.5040/9798216186762.

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Responding to a critical need in government for ways to manage costs better and improve productivity, The author gives practitioners and advanced students of public administration not just the statistical methods they require but also the hands-on skills they need and will use daily. His book introduces cost and management accounting, shows how to use decision-making tools in solid problem-solving situations, and lays out measures to help manage an organization's productivity. Also covered are such topics as cost estimation, benefit-cost analysis, simulation, inventory analysis, network modeli
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50

Classical and Evolutionary Algorithms in the Optimization of Optical Systems (Genetic Algorithms and Evolutionary Computation, 9). Springer, 2002.

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