Results 11 to 20 of about 34,311 (304)
Applications of mathematical programming in personnel scheduling [PDF]
, 2017 In the few decades of its existence, mathematical programming has evolved into an important branch of operations research and management science. This thesis consists of four papers in which we apply mathematical programming to real-life personnel scheduling and project management problems.
Rihm, Tom
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Nonlinear Mathematical Programming in Engineering Applications [PDF]
Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2010 This paper deals with suitable nonlinear optimization in engineering applications via mathematical programming. This tool is used for optimization and control of production of steel slabs and inverse tasks, such as determination of boundary conditions ...
Tomáš MAUDER
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Mathematical Programming Techniques for Sensor Networks
Algorithms, 2009 This paper presents a survey describing recent developments in the area of mathematical programming techniques for various types of sensor network applications.
Alexey Sorokin +4 more
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EURO Journal on Computational Optimization, 2017 This paper elaborates compact MIP formulations for a discrete unit commitment problem with minimum stop and ramping constraints. The variables can be defined in two different ways.
Nicolas Dupin
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Modules over monads and operational semantics (expanded version) [PDF]
Logical Methods in Computer Science, 2022 This paper is a contribution to the search for efficient and high-level mathematical tools to specify and reason about (abstract) programming languages or calculi.
André Hirschowitz +2 more
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Multifacility location problems on a sphere
International Journal of Mathematics and Mathematical Sciences, 1987 A unified approach to multisource location problems on a sphere is presented. Euclidean, squared Euclidean and the great circle distances are considered. An algorithm is formulated and its convergence properties are investigated.
Turgut Aykin, A. J. G. Babu
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A New Approach for Variable Selection in Discriminant Analysis [PDF]
The Egyptian Statistical Journal, 2008 There are several variable selection methods for deciding which variables to include in discriminant analysis. The purpose of variable selection techniques is to choose a suitable subset of variables.
Elham Abd El-Razik
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Applications of mathematical programming in graceful labeling of graphs
Journal of Applied Mathematics, 2004 Graceful labeling is one of the best known labeling methods of graphs. Despite the large number of papers published on the subject of graph labeling, there are few particular techniques to be used by researchers to gracefully label graphs. In this paper,
Kourosh Eshghi, Parham Azimi
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Foundations of Probabilistic Programming [PDF]
, 2020 This book provides an overview of the theoretical underpinnings of modern probabilistic programming and presents applications in e.g., machine learning, security, and approximate computing.
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Numerical block diagonalization of matrix *−algebras with application to semidefinite programming [PDF]
, 2011 Semidefinite programming (SDP) is one of the most active areas in mathematical programming, due to varied applications and the availability of interior point algorithms.
Etienne de Klerk +13 more
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