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Relevant bibliographies by topics / Mathematical programming / Journal articles

Journal articles on the topic 'Mathematical programming'

To see the other types of publications on this topic, follow the link: Mathematical programming.

Author: Grafiati

Published: 4 June 2021

Last updated: 7 July 2024

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1

Vasileva, Natalia, Vladimir Grigorev-Golubev, and Irina Evgrafova. "Mathematical programming in Mathcad and Mathematica." E3S Web of Conferences 419 (2023): 02007. http://dx.doi.org/10.1051/e3sconf/202341902007.

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An article generalizes the long-term work of authors with packages of applied mathematical programs. It discusses and demonstrates the features and methods of solution of mathematical tasks in mathematical package Mathcad and Mathematica: from the simplest ones, included in the set of typical problems of mathematical disciplines for training specialists for shipbuilding, to complex computational tasks and applied problems of professional orientation, which require the construction of a mathematical model and analysis of the results obtained. The examples show the solution of mathematical problems in symbolic form, mathematical studies in the Mathcad and Mathematica environment, and mathematical programming with these packages.

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2

Elphick, Clive, R. W. Cottle, M. L. Kelmanson, and B. Korte. "Mathematical Programming." Journal of the Operational Research Society 36, no. 4 (April 1985): 342. http://dx.doi.org/10.2307/2582424.

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3

Elphick, Clive. "Mathematical Programming." Journal of the Operational Research Society 36, no. 4 (April 1985): 342. http://dx.doi.org/10.1057/jors.1985.59.

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4

Wilson, J. M., K. L. Hoffman, R. H. F. Jackson, and J. Telgen. "Computational Mathematical Programming." Journal of the Operational Research Society 39, no. 8 (August 1988): 792. http://dx.doi.org/10.2307/2583777.

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5

Howitt, Richard E. "Positive Mathematical Programming." American Journal of Agricultural Economics 77, no. 2 (May 1995): 329–42. http://dx.doi.org/10.2307/1243543.

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6

Wilson, J. M. "Computational Mathematical Programming." Journal of the Operational Research Society 39, no. 8 (August 1988): 792. http://dx.doi.org/10.1057/jors.1988.137.

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7

Wasserman, A. L., and R. H. Eckhouse. "Mathematical-oriented programming." Computer 21, no. 6 (June 1988): 89–95. http://dx.doi.org/10.1109/2.954.

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8

Oley, L. A. "Mathematical programming techniques." European Journal of Operational Research 21, no. 1 (July 1985): 139–40. http://dx.doi.org/10.1016/0377-2217(85)90098-0.

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9

Sachs, E. "Computational mathematical programming." European Journal of Operational Research 39, no. 2 (March 1989): 227–28. http://dx.doi.org/10.1016/0377-2217(89)90199-9.

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10

Сальков and Nikolay Sal'kov. "Graph-analytic Solution of Some Special Problems of Quadratic Programming." Geometry & Graphics 2, no. 1 (March 3, 2014): 3–8. http://dx.doi.org/10.12737/3842.

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Quadratic programming problems are one of special cases of mathematical programming problems. Mathematical programming problems solution is of great importance, because these problems are those of optimizing of solution related to presented issues from multitude of possible ones. The mathematical programming problems are linear, nonlinear, dynamic and others. It is suggested to consider a graph-analytic solution of quadratic programming’s special problems, which, taken together, constitute the quadratic programming problems for two and three variables. A total of eight special problems have been considered.

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11

Weal, Steve, J. K. Lenstra, A. H. G. Rinnooy Kan, and A. Schrijver. "History of Mathematical Programming." Journal of the Operational Research Society 43, no. 9 (September 1992): 921. http://dx.doi.org/10.2307/2583294.

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12

Henderson, Peter B., and Allan M. Stavely. "Programming and mathematical thinking." ACM Inroads 5, no. 1 (March 2014): 35–36. http://dx.doi.org/10.1145/2568195.2568207.

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13

Weal, Steve. "History of Mathematical Programming." Journal of the Operational Research Society 43, no. 9 (December 1993): 921. http://dx.doi.org/10.1057/jors.1992.132.

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14

Mor, Yishay, and Richard Noss. "Programming as mathematical narrative." International Journal of Continuing Engineering Education and Life-Long Learning 18, no. 2 (2008): 214. http://dx.doi.org/10.1504/ijceell.2008.017377.

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15

Pshenichnyi, B. N., and E. I. Nenakhov. "Matrix mathematical programming problems." Cybernetics and Systems Analysis 32, no. 2 (March 1996): 255–64. http://dx.doi.org/10.1007/bf02366539.

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16

Cornet, B., V. H. Nguyen, and J. P. Vial. "Mathematical programming study 30." Mathematical Programming 41, no. 1-3 (May 1988): 119–21. http://dx.doi.org/10.1007/bf01580757.

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17

Hoffman, K. L., R. H. F. Jackson, and J. Telgen. "Mathematical programming study 31." Mathematical Programming 41, no. 1-3 (May 1988): 395–98. http://dx.doi.org/10.1007/bf01580778.

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18

Stohr, Edward A. "A mathematical programming generator." ACM SIGAPL APL Quote Quad 20, no. 1 (September 1989): 6–14. http://dx.doi.org/10.1145/379199.379202.

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19

Liberti, Leo, Stéphane Le Roux, Jeremy Leconte, and Fabrizio Marinelli. "Mathematical programming based debugging." Electronic Notes in Discrete Mathematics 36 (August 2010): 1311–18. http://dx.doi.org/10.1016/j.endm.2010.05.166.

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20

Fiacco, Anthony V. "Mathematical programming study 21." Mathematical Programming 31, no. 1 (January 1985): 118–21. http://dx.doi.org/10.1007/bf02591865.

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21

INUIGUCHI, Masahiro. "Stochastic Programming Problems versus Fuzzy Mathematical Programming Problems." Journal of Japan Society for Fuzzy Theory and Systems 4, no. 1 (1992): 21–30. http://dx.doi.org/10.3156/jfuzzy.4.1_21.

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22

Janosikova, Ludmila, and Tomas Hreben. "Mathematical Programming vs. Constraint Programming for Scheduling Problems." Communications - Scientific letters of the University of Zilina 15, no. 1 (March 31, 2013): 39–43. http://dx.doi.org/10.26552/com.c.2013.1.39-43.

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23

Rowlett, Peter. "Programming as a mathematical activity." MSOR Connections 18, no. 2 (July 9, 2020): 13–17. http://dx.doi.org/10.21100/msor.v18i2.1064.

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Programming in undergraduate mathematics is an opportunity to develop various mathematical skills. This paper outlines some topics covered in a second year, optional module ‘Programming with Mathematical Applications’ that develop mathematical thinking and involve mathematical activities, showing that practical programming can be taught to mathematicians as a mathematical skill.

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24

Appa, Gautam, and H. P. Williams. "Model Solving in Mathematical Programming." Journal of the Royal Statistical Society. Series A (Statistics in Society) 158, no. 1 (1995): 202. http://dx.doi.org/10.2307/2983434.

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25

Smith, David K., Michel Minoux, and Steven Vajda. "Mathematical Programming: Theory and Algorithms." Journal of the Operational Research Society 38, no. 7 (July 1987): 666. http://dx.doi.org/10.2307/2582404.

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26

Paschentis, Spiros N., B. Korte, and K. Ritter. "Mathematical Programming at Oberwolfach II." Journal of the Operational Research Society 37, no. 1 (January 1986): 100. http://dx.doi.org/10.2307/2582553.

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27

Earnshaw, Stephanie R., and Susan L. Dennett. "Integer/Linear Mathematical Programming Models." PharmacoEconomics 21, no. 12 (2003): 839–51. http://dx.doi.org/10.2165/00019053-200321120-00001.

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28

Prichard, Mary Kim. "Mathematical Iteration through Computer Programming." Mathematics Teacher 86, no. 2 (February 1993): 150–56. http://dx.doi.org/10.5951/mt.86.2.0150.

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Mathematical iteration is a process for generating a sequence in which one or more initial terms are given and each subsequent term is determined from its predecessors in the same way. An equation that describes the relationship between a term and its predecessors is called a recurrence relation. Arithmetic and geometric sequences, common topics in high school algebra courses, are examples of iterative processes. Arithmetic sequences are generated iteratively from an initial term, a1, a common difference, d, and a recurrence relation, an+1, = an+ d. Geometric sequences are generated from an initial term, a1 a common ratio, r, and a recurrence relation, an+1 =an •r. Mathematical iteration is used in many other mathematical situations and algorithms, such as the Fibonacci sequence, the Euclidean algorithm, and Newton's method for solving equations.

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29

Maaty, M. Abdel Aaty. "A Fuzzy Multilevel Mathematical Programming." ERJ. Engineering Research Journal 24, no. 2 (April 1, 2001): 85–96. http://dx.doi.org/10.21608/erjm.2001.71015.

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30

Wilson, John, and H. P. Williams. "Model Solving in Mathematical Programming." Journal of the Operational Research Society 45, no. 3 (March 1994): 360. http://dx.doi.org/10.2307/2584171.

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31

Zwirner, Walter W. "Mathematical Programming in Statistical Analysis." Calcutta Statistical Association Bulletin 44, no. 3-4 (September 1994): 229–38. http://dx.doi.org/10.1177/0008068319940310.

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32

Eglese, R., J. Kallrath, and J. M. Wilson. "Business Optimisation: Using Mathematical Programming." Journal of the Operational Research Society 49, no. 5 (May 1998): 559. http://dx.doi.org/10.2307/3009895.

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33

Smith, D. K., M. Avriel, and B. Golany. "Mathematical Programming for Industrial Engineers." Journal of the Operational Research Society 48, no. 3 (March 1997): 334. http://dx.doi.org/10.2307/3010436.

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34

Scarf, Herbert E. "Mathematical Programming and Economic Theory." Operations Research 38, no. 3 (June 1990): 377–85. http://dx.doi.org/10.1287/opre.38.3.377.

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35

Prather, Ronald E. "A modular mathematical programming language." ACM SIGPLAN Notices 33, no. 3 (March 1998): 38–56. http://dx.doi.org/10.1145/275168.275172.

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36

MUNRO, JOHN. "PLASTIC ANALYSIS BY MATHEMATICAL PROGRAMMING." Civil Engineering Systems 13, no. 2 (April 1996): 93–120. http://dx.doi.org/10.1080/02630259608970190.

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37

MUNRO, J. "Plastic Analysis by Mathematical Programming." Civil Engineering Systems 13, no. 3 (June 1996): i—ii. http://dx.doi.org/10.1080/02630259608970202.

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38

Flåm, S. D. "Option pricing by mathematical programming†." Optimization 57, no. 1 (February 2008): 165–82. http://dx.doi.org/10.1080/02331930701779054.

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39

Osman, M. S., E. F. Lashein, E. A. Youness, and T. E. M. Atteya. "Mathematical programming in rough environment." Optimization 60, no. 5 (May 2011): 603–11. http://dx.doi.org/10.1080/02331930903536393.

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40

Al‐Sultan, Khaled S., and Salih O. Duffuaa. "Maintenance control via mathematical programming." Journal of Quality in Maintenance Engineering 1, no. 3 (September 1995): 36–46. http://dx.doi.org/10.1108/13552519510096341.

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41

Paschentis, Spiros N. "Mathematical Programming at Oberwolfach II." Journal of the Operational Research Society 37, no. 1 (January 1986): 100–101. http://dx.doi.org/10.1057/jors.1986.14.

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42

Smith, David K. "Mathematical Programming: Theory and Algorithms." Journal of the Operational Research Society 38, no. 7 (July 1987): 666. http://dx.doi.org/10.1057/jors.1987.110.

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43

Wilson, John. "Model Solving in Mathematical Programming." Journal of the Operational Research Society 45, no. 3 (March 1994): 360. http://dx.doi.org/10.1057/jors.1994.50.

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44

Ferris, Michael, Kenneth Judd, and Berc Rustem. "Special issue on Mathematical Programming." Journal of Economic Dynamics and Control 28, no. 7 (April 2004): 1227. http://dx.doi.org/10.1016/s0165-1889(03)00107-6.

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45

Ball, Michael O. "Heuristics based on mathematical programming." Surveys in Operations Research and Management Science 16, no. 1 (January 2011): 21–38. http://dx.doi.org/10.1016/j.sorms.2010.07.001.

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46

SIMONS, R. V. "Mathematical Programming Modelling Using MGG." IMA Journal of Management Mathematics 1, no. 4 (1986): 267–76. http://dx.doi.org/10.1093/imaman/1.4.267.

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47

Jeyakumar, V., and B. Mond. "On generalised convex mathematical programming." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 34, no. 1 (July 1992): 43–53. http://dx.doi.org/10.1017/s0334270000007372.

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AbstractThe sufficient optimality conditions and duality results have recently been given for the following generalised convex programming problem:where the funtion f and g satisfyfor some η: X0 × X0 → ℝnIt is shown here that a relaxation defining the above generalised convexity leads to a new class of multi-objective problems which preserves the sufficient optimality and duality results in the scalar case, and avoids the major difficulty of verifying that the inequality holds for the same function η(. , .). Further, this relaxation allows one to treat certain nonlinear multi-objective fractional programming problems and some other classes of nonlinear (composite) problems as special cases.

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48

Jansen, B. "Mathematical programming for industrial engineers." European Journal of Operational Research 97, no. 3 (March 1997): 610. http://dx.doi.org/10.1016/s0377-2217(97)83335-8.

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49

Lev, Ben. "Applications of mathematical programming models." European Journal of Operational Research 160, no. 1 (January 2005): 1–2. http://dx.doi.org/10.1016/j.ejor.2003.06.016.

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50

Conejo, Antonio J., and Francisco J. Prieto. "Mathematical programming and electricity markets." Top 9, no. 1 (June 2001): 1–22. http://dx.doi.org/10.1007/bf02579062.

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