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Books on the topic 'Unconstraint optimization'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Ram, Bhagwat, Shashi Kant Mishra, Kin Keung Lai, and Predrag Rajković. Unconstrained Optimization and Quantum Calculus. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2435-2.

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2

Punnen, Abraham P., ed. The Quadratic Unconstrained Binary Optimization Problem. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04520-2.

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3

Mishra, Shashi Kant, and Bhagwat Ram. Introduction to Unconstrained Optimization with R. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0894-3.

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4

Freeman, T. L. Parallel projected variable metric algorithms for unconstrained optimization. Institute for Computer Applications in Science and Engineering, 1989.

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5

Andrei, Neculai. Nonlinear Conjugate Gradient Methods for Unconstrained Optimization. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42950-8.

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6

Fiacco, Anthony V. Nonlinear programming: Sequential unconstrained minimization techniques. Society for Industrial and Applied Mathematics, 1990.

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7

M, Gould N. I., Rutherford Appleton Laboratory, and Council For The Central Laboratory of The Research Councils., eds. A linesearch algorithm with memory for unconstrained optimization. Rutherford Appleton Laboratory, 1998.

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8

Freeman, T. L. Parallel projected variable metric algorithms for unconstrained optimization. National Aeronautics and Space Administration, Langley Research Center, 1990.

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9

Dennis, J. E. Numerical methods for unconstrained optimization and nonlinear equations. Society for Industrial and Applied Mathematics, 1996.

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10

D, Meegan, and Sprevak D, eds. An introduction to unconstrained optimisation. A. Hilger, 1990.

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11

Nazareth, J. L. The Newton-Cauchy framework: A unified approach to unconstrained nonlinear minimization. Springer-Verlag, 1994.

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12

Gould, N. I. M. Exploiting negative curvature directions in linesearch methods for unconstrained optimization. Rutherford Appleton Laboratory, 1997.

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13

Andrei, Neculai. A Derivative-free Two Level Random Search Method for Unconstrained Optimization. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68517-1.

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14

Lui, Shiu-Hong. Unconstrained optimization by a modified Newton line search with step restriction. University of Toronto, Dept. of Computer Science, 1987.

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15

United States. National Aeronautics and Space Administration., ed. Parallel-vector computation for structural analysis and nonlinear unconstrained optimization problems: Final report for the period ended June 15, 1990. Old Dominion University Research Foundation, Dept. of Civil Engineering, College of Engineering & Technology, Old Dominion University, 1990.

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16

United States. National Aeronautics and Space Administration., ed. Parallel-vector computation for structural analysis and nonlinear unconstrained optimization problems: Final report for the period ended June 15, 1990. Old Dominion University Research Foundation, Dept. of Civil Engineering, College of Engineering & Technology, Old Dominion University, 1990.

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17

Knapp, Rob. Unconstrained Optimization. Wolfram Media, Incorporated, 2008.

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18

Rajkovic, Pedrag. Unconstrained Optimization and Quantum Calculus. Springer, 2024.

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19

Introduction to Unconstrained Optimization with R. Springer Singapore Pte. Limited, 2021.

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20

Mishra, Shashi Kant, and Bhagwat Ram. Introduction to Unconstrained Optimization with R. Springer, 2019.

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21

Mishra, Shashi Kant, and Bhagwat Ram. Introduction to Unconstrained Optimization with R. Springer Singapore Pte. Limited, 2020.

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22

Andrei, Neculai. Nonlinear Conjugate Gradient Methods for Unconstrained Optimization. Springer, 2020.

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23

Andrei, Neculai. Nonlinear Conjugate Gradient Methods for Unconstrained Optimization. Springer International Publishing AG, 2021.

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24

Nonlinear Conjugate Gradient Methods For Unconstrained Optimization. Springer Nature, 2020.

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25

Prussing, John E. Parameter Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811084.003.0002.

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Parameter optimization is treated as an introduction. Unconstrained and constrained cases are analysed. Necessary and sufficient conditions are derived and illustrated. Parameter optimization utilizes the theory of ordinary maxima and minima. The problem is to determine the value of the m-vector u of independent parameters (decision variables) to minimize the cost function.

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26

Numerical Methods for Unconstrained Optimization and Nonlinear Equations. 1996.

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27

Guo, Jian. A class of variable-metric-secant algorithms for unconstrained minimization. 1993.

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28

Computational Mathematics: Unconstrained Nonlinear Optimization Block 3, Unit 2. Open University Press, 1989.

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29

Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications. Springer International Publishing AG, 2023.

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30

Quadratic Unconstrained Binary Optimization Problem: Theory, Algorithms, and Applications. Springer International Publishing AG, 2022.

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31

McCormick, Garth P., and Anthony V. Fiacco. Nonlinear Programming: Sequential Unconstrained Minimization Techniques (Classics in Applied Mathematics). Society for Industrial Mathematics, 1987.

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32

Andrei, Neculai. Derivative-Free Two Level Random Search Method for Unconstrained Optimization. Springer International Publishing AG, 2021.

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33

Schnabel, Robert B., and J. E. Dennis. Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics). Society for Industrial Mathematics, 1987.

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34

Lui, Shiu-Hong. Unconstrained optimization by a modified Newton line search with step restriction. 1987.

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35

Meegan, D., D. Sprevak, and J. J. McKeown. An Introduction to Unconstrained Optimisation (Computer Illustrated Text). Institute of Physics Publishing, 1997.

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36

McKeown, J. J., D. Meegan, and D. Sprevak. A Simple Introduction to Unconstrained Optimization - Text and Disk (A Computer Illustrated Text). Institute of Physics Publishing, 1990.

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37

Parallel-vector computation for structural analysis and nonlinear unconstrained optimization problems: Final report for the period ended June 15, 1990. Old Dominion University Research Foundation, Dept. of Civil Engineering, College of Engineering & Technology, Old Dominion University, 1990.

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38

Khoda, Khan Monzoor-e. A theoretical and computational investigation of a generalized Polak-Ribière algorithm for unconstrained optimization. 1992.

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39

Michel, Bierlaire. Optimization: Principles and Algorithms. EPFL Press, 2015. http://dx.doi.org/10.55430/6116v1mb.

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Every engineer and decision scientist must have a good mastery of optimization, an essential element in their toolkit. Thus, this articulate introductory textbook will certainly be welcomed by students and practicing professionals alike. Drawing from his vast teaching experience, the author skillfully leads the reader through a rich choice of topics in a coherent, fluid and tasteful blend of models and methods anchored on the underlying mathematical notions (only prerequisites: first year calculus and linear algebra). Topics range from the classics to some of the most recent developments in sm

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