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Relevant bibliographies by topics / Mixed Integer Linear Problem

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Academic literature on the topic 'Mixed Integer Linear Problem'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2025

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Books on the topic "Mixed Integer Linear Problem"

1

Mansini, Renata, Włodzimierz Ogryczak, and M. Grazia Speranza. Linear and Mixed Integer Programming for Portfolio Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18482-1.

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2

Iyengar, A. V. K. Optimal location of cement plants: Using mixed integer linear programming model. Institute for Financial Management and Research, 1992.

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3

Martello, Silvano. Knapsack problems: Algorithms and computer implementations. J. Wiley & Sons, 1990.

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4

Bulgakova, Irina, Yuliya Vertakova, Ol'ga Medvedeva, Sergey Medvedev, and Galina Chernyshova. Models and methods of system analysis in operations research. INFRA-M Academic Publishing LLC., 2024. https://doi.org/10.12737/2049708.

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The textbook discusses models and methods of operations research as applied methods for the study of socio-economic processes and phenomena. These methods include those that use the apparatus of mathematical programming, schedule theory, inventory management theory, game theory, etc. The authors consider general issues of system modeling, cite the mathematical apparatus of operations research (linear programming, simplex method, integer linear programming, network models, game theory, etc.), show the areas of practical application of methods of operations research using illustrative examples. The main theoretical material is accompanied by tasks for independent work, which contributes to a faster and deeper study of problem solving methods. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students studying in the fields of "Applied Mathematics and Computer Science", "Business Informatics", "Management", "Economics", whose curricula include the disciplines "Game Theory and Operations Research", "Models and methods of discrete optimization", "Methods and models in Economics", "System analysis", "Planning and optimization of computing processes". The textbook will also be useful for graduate students, researchers of departments of economics and management, specialists involved in the analysis and modeling of the development of economic and social facilities.

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5

Floudas, Christodoulos A. Nonlinear and Mixed-Integer Optimization. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195100563.001.0001.

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Filling a void in chemical engineering and optimization literature, this book presents the theory and methods for nonlinear and mixed-integer optimization, and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis, and optimization-based approaches in the synthesis of heat recovery systems, distillation-based systems, and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design, process synthesis, process operations, applied mathematics, operations research, industrial management, and systems engineering.

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6

LOPEZ, J. OPTIMIZATION with MATLAB. LINEAR PROGRAMMING and MIXED-INTEGER LINEAR PROGRAMMING. Independently Published, 2019.

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7

Mansini, Renata, M. Grazia Speranza, and Włodzimierz Ogryczak. Linear and Mixed Integer Programming for Portfolio Optimization. Springer London, Limited, 2015.

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8

Ogryczak, Włodzimierz, Renata Mansini, and M. Grazia Speranza. Linear and Mixed Integer Programming for Portfolio Optimization. Springer, 2015.

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9

Ogryczak, Włodzimierz, Renata Mansini, and M. Grazia Speranza. Linear and Mixed Integer Programming for Portfolio Optimization. Springer, 2016.

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10

Little, John D. C. Synchronization of Traffic Signals by Mixed-Integer Linear Programming. Creative Media Partners, LLC, 2015.

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