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Dissertations / Theses on the topic 'Mathematical optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Keanius, Erik. "Mathematical Optimization in SVMs." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297492.

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In this thesis, support vector machines (SVMs) are studied from a mathematical optimization viewpoint. Both the linear case using hard-margin as well as soft-margin classification and the non-linear case using kernel functions are discussed. The theory of kernel Hilbert spaces is introduced and related to the non-linear SVM case. Moreover, fundamental theorems from optimization, including Lagrangian duality and KKT conditions, are introduced and proved. These theorems are then applied to the optimization problem of SVMs. Finally, the SVM optimization problem is implemented, solved, and visuali

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2

Zhou, Fangjun. "Nonmonotone methods in optimization and DC optimization of location problems." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/21777.

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3

Holm, Åsa. "Mathematical Optimization of HDR Brachytherapy." Doctoral thesis, Linköpings universitet, Optimeringslära, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-99795.

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One out of eight deaths throughout the world is due to cancer. Developing new treatments and improving existing treatments is hence of major importance. In this thesis we have studied how mathematical optimization can be used to improve an existing treatment method: high-dose-rate (HDR) brachytherapy. HDR brachytherapy is a radiation modality used to treat tumours of for example the cervix, prostate, breasts, and skin. In HDR brachytherapy catheters are implanted into or close to the tumour volume. A radioactive source is moved through the catheters, and by adjusting where the catheters are pl

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4

Najafiazar, Bahador. "Mathematical Optimization in Reservoir Management." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27058.

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Getting the most out of a hydrocarbon reservoir is not a trivial task. It takes plentyof interwoven decisions to make. There are many forms of tools that support engineersto make correct decisions. The simplest ones would only display measurementsin a suitable way, and appoint the rest of the decision making processto human knowledge and experience. Complex decision support tools may implementmodel-based estimation and optimization. This work targets methods foroptimization-based decision support.The objective of this study is to formulate, implement and test promising methodsof hydrocarbon pr

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Saunders, David. "Applications of optimization to mathematical finance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29265.pdf.

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6

Chang, Tyler Hunter. "Mathematical Software for Multiobjective Optimization Problems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98915.

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In this thesis, two distinct problems in data-driven computational science are considered. The main problem of interest is the multiobjective optimization problem, where the tradeoff surface (called the Pareto front) between multiple conflicting objectives must be approximated in order to identify designs that balance real-world tradeoffs. In order to solve multiobjective optimization problems that are derived from computationally expensive blackbox functions, such as engineering design optimization problems, several methodologies are combined, including surrogate modeling, trust region method

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ROSSI, FILIPPO. "Mathematical models for selling process optimization." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1050078.

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The work of the Thesis has been pursued in collaboration with an important company operating in the tourist sector. The followed projects in the work can be seen as belonging to the Destination Management branch, that is the study and the implementation of actions aimed at better managing the company offer related to touristic experiences broadly. In particular, the first project has been related to Revenue Forecasting and has dealt with the definition of a methodology, based on mathematical and statistical techniques, aimed at forecasting the revenue streams linked to specific items of a com

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8

Rossetti, Gaia. "Mathematical optimization techniques for cognitive radar networks." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33419.

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This thesis discusses mathematical optimization techniques for waveform design in cognitive radars. These techniques have been designed with an increasing level of sophistication, starting from a bistatic model (i.e. two transmitters and a single receiver) and ending with a cognitive network (i.e. multiple transmitting and multiple receiving radars). The environment under investigation always features strong signal-dependent clutter and noise. All algorithms are based on an iterative waveform-filter optimization. The waveform optimization is based on convex optimization techniques and the expl

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9

Trescher, Saskia. "Estimating Gene Regulatory Activity using Mathematical Optimization." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21900.

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Die Regulation der Genexpression ist einer der wichtigsten zellulären Prozesse und steht in Zusammenhang mit der Entstehung diverser Krankheiten. Regulationsmechanismen können mit einer Vielzahl von Methoden experimentell untersucht werden, zugleich erfordert die Integration der Datensätze in umfassende Modelle stringente rechnergestützte Methoden. Ein Teil dieser Methoden modelliert die genomweite Genexpression als (lineares) Gleichungssystem über die Aktivität und Beziehungen von Transkriptionsfaktoren (TF), Genen und anderen Faktoren und optimiert die Parameter, sodass die gemessenen Expres

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10

Haddon, Antoine. "Mathematical Modeling and Optimization for Biogas Production." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS047.

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La digestion anaérobique est un processus biologique au cours duquel des micro-organismes décomposent de la matière organique pour produire du biogaz (dioxyde de carbone et methane) qui peut être utilisé comme source d'énergie renouvelable. Cette thèse porte sur l'élaboration de stratégies de contrôle et la conception de bioréacteurs qui maximisent la production de biogaz.La première partie se concentre sur le problème de contrôle optimal de la maximisation de la production de biogaz dans un chemostat avec un modèle à une réaction, en contrôlant le taux de dilution. Pour le problème à horizon

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11

Persson, Mikael. "Cableharness selection for gearboxes using mathematical optimization." Thesis, KTH, Optimeringslära och systemteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209929.

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The Scania modular product system enables the production of thousands of different versions of gearboxes. If each version use a unique cable harness, this leads to large costs for storage and production. It is desired to find a smaller set of cable harnesses to fit the needs of all gearboxes. In this report we present two mathematical programming models to accomplish this while minimizing cost for production and storage. We propose a procedure for partitioning the data into smaller subsets without loosing model accuracy. We also show how the solution to the first model may be used as a warm st

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12

Andersson, Björn. "Mathematical Optimization of Radiation Therapy Goal Fulfillment." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325396.

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Cancer is one of the deadliest diseases today, and with increasingly larger and older populations, cancer constitutes an enormous contemporary and future challenge. Luckily, advances in technology and medicine are continuously contributing to a decrease in cancer mortality, and to the reduction of treatment side effects. The aim of this Master's thesis is to be a part of these advances, thereby increasing the survival chances and well-being of future cancer patients. The thesis regards specifically the improvement of radiation therapy, a form of treatment utilized in both curative and palliati

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13

Gambella, Claudio <1988&gt. "Mathematical Optimization for Routing and Logistic Problems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7607/1/gambella_claudio_tesi.pdf.

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In this thesis, we focus on mathematical optimization models and algorithms for solving routing and logistic problems. The first contribution regards a path and mission planning problem, called Carrier-Vehicle Traveling Salesman Problem (CVTSP), for a system of heterogeneous vehicles. A Mixed-Integer Second Order Conic Programming (MISOCP) model and a Benders-like enumeration algorithm are presented for solving CVTSP. The second work concerns a class of routing problems, referred to as Interceptor Vehicle Routing Problems (IVRPs). They generalize VRPs in the sense that target points are allowe

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Gambella, Claudio <1988&gt. "Mathematical Optimization for Routing and Logistic Problems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amsdottorato.unibo.it/7607/.

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In this thesis, we focus on mathematical optimization models and algorithms for solving routing and logistic problems. The first contribution regards a path and mission planning problem, called Carrier-Vehicle Traveling Salesman Problem (CVTSP), for a system of heterogeneous vehicles. A Mixed-Integer Second Order Conic Programming (MISOCP) model and a Benders-like enumeration algorithm are presented for solving CVTSP. The second work concerns a class of routing problems, referred to as Interceptor Vehicle Routing Problems (IVRPs). They generalize VRPs in the sense that target points are allowe

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15

Colombo, F. "MATHEMATICAL PROGRAMMING ALGORITHMS FOR NETWORK OPTIMIZATION PROBLEMS." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/234164.

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In the thesis we consider combinatorial optimization problems that are defined by means of networks. These problems arise when we need to take effective decisions to build or manage network structures, both satisfying the design constraints and minimizing the costs. In the thesis we focus our attention on the four following problems: - The Multicast Routing and Wavelength Assignment with Delay Constraint in WDM networks with heterogeneous capabilities (MRWADC) problem: this problem arises in the telecommunications industry and it requires to define an efficient way to make multicast transm

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16

Ramachandran, Selvaraj. "Hypoid gear optimization." PDXScholar, 1992. https://pdxscholar.library.pdx.edu/open_access_etds/4419.

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A hypoid gear optimization procedure using the method of feasible directions has been developed. The objective is to reduce the gear set weight with bending strength, contact strength and facewidth-diametral pitch ratio as constraints. The objective function weight, is calculated from the geometric approximation of the volume of the gear and pinion. The design variables selected are number of gear teeth, diametral pitch, and facewidth. The input parameters for starting the initial design phase are power to be transmitted, speed, gear ratio, type of application, mounting condition, type of load

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17

Gu, Fangqing. "Many objective optimization: objective reduction and weight design." HKBU Institutional Repository, 2016. https://repository.hkbu.edu.hk/etd_oa/315.

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Many-objective optimization problems (MaOPs), in which the number of objectives is greater than three, are common in various applications, and have drawn many scholars' attention. Evolutionary multiobjective optimization (EMO) algorithms have been successfully applied to solve bi- and tri-objective optimization problems. However, MaOPs are more challenging compared with the bi- and tri-objective optimization problems. The performances of most existing classical EMO algorithms generally deteriorate over the number of objectives. Thus, this thesis presents a weight design method to modify classi

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18

Zymolka, Adrian. "Design of survivable optical networks by mathematical optimization." Göttingen Cuvillier, 2007.

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19

COSTA, PEDRO FRANCA FERREIRA DA. "OPTIMIZATION OF THE OFFLOADING LOGISTICS USING MATHEMATICAL PROGRAMMING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25301@1.

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O crescimento da produção diária de petróleo e os elevados custos envolvidos na logística de petróleo, mais precisamente na logística upstream, pela sua complexidade, e em particular, na logística de produção e ainda, somando-se a atual queda do preço do barril, resultam que os impactos econômicos que as falhas no processo logístico podem causar, tornam-se cada vez mais relevantes. Neste contexto, foi desenvolvido um modelo de programação linear que promove a otimização da operação de alivio de plataformas conjugada à programação da janela de atendimento das diversas embarcações a fim de não h

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Craft, David (David Loren) 1973. "Local energy management through mathematical modeling and optimization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28858.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2004.<br>Includes bibliographical references (p. 217-223).<br>(cont.) Extensions to the core TOTEM model include a demand charge model, used for making daily optimal control decisions when the electric bill includes a charge based on the monthly maximum power draw. The problem of heating, ventilation, and air conditioning (HVAC) control is treated separately since it strongly violates TOTEM's linearity assumptions. Nonetheless, we describe a solution approach to the HVAC problem whic

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21

Cubo, Rubén. "Mathematical modeling for optimization of Deep Brain Stimulation." Licentiate thesis, Uppsala universitet, Avdelningen för systemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-284320.

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Deep Brain Stimulation (DBS) consists of sending mild electric stimuli to the brain via a chronically implanted lead. The therapy is used to alleviate the symptoms of different neurological diseases, such as Parkinson's Disease. However, its underlying biological mechanism is currently unknown. DBS patients undergo a lengthy trial-and-error procedure in order to tune the stimuli so that the treatment achieves maximal therapeutic benefits while limiting side effects that are often present with large stimulation values. The present licentiate thesis deals with mathematical modeling for DBS, exte

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扇之介, 渡辺, and Sennosuke Watanabe. "Studies on mathematical structures of network optimization problems." Thesis, https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB12863906/?lang=0, 2013. https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB12863906/?lang=0.

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本論文は,様々なネットワーク最適化問題の数学的構造について様々な観点から調べたものである.主たる結果はネットワーク最適化問題の代表例である最大流問題に,関するいくつかの結果と,Min-Plus代数に値をもつ行列の固有値と固有ベクトルに関する特徴づけに関する結果からなっている.<br>博士(理学)<br>Doctor of Philosophy in Science<br>同志社大学<br>Doshisha University

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23

Romanko, O. "Mathematical modeling and optimization techniques in risk management." Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/14411.

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Nowadays mathematical modeling and optimization techniques are used in many areas of science. The main challenge of practical models is minimizing risk in the presence of uncertainty. In the paper the examples of practical risk management problems that demonstrate how mathematical modeling combined with optimization algorithms are shown. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/14411

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24

Awunganyi, John. "A study of optimization in Hilbert Space." CSUSB ScholarWorks, 1998. https://scholarworks.lib.csusb.edu/etd-project/1459.

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25

Deligiannis, Anastasios. "Mathematical optimization and game theoretic methods for radar networks." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/22732.

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Radar systems are undoubtedly included in the hall of the most momentous discoveries of the previous century. Although radars were initially used for ship and aircraft detection, nowadays these systems are used in highly diverse fields, expanding from civil aviation, marine navigation and air-defence to ocean surveillance, meteorology and medicine. Recent advances in signal processing and the constant development of computational capabilities led to radar systems with impressive surveillance and tracking characteristics but on the other hand the continuous growth of distributed networks made t

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26

Amankwah, Henry. "Mathematical Optimization Models and Methods for Open-Pit Mining." Doctoral thesis, Linköpings universitet, Optimeringslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70844.

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Open-pit mining is an operation in which blocks from the ground are dug to extract the ore contained in them, and in this process a deeper and deeper pit is formed until the mining operation ends. Mining is often a highly complex industrial operation, with respect to both technological and planning aspects. The latter may involve decisions about which ore to mine and in which order. Furthermore, mining operations are typically capital intensive and long-term, and subject to uncertainties regarding ore grades, future mining costs, and the market prices of the precious metals contained in the or

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Jabeen, Zamrooda [Verfasser]. "Approaches to mathematical optimization and its applications / Zamrooda Jabeen." München : GRIN Verlag, 2019. http://d-nb.info/1181794331/34.

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28

Bonz, Justus [Verfasser]. "Essays of applied mathematical optimization in logistics / Justus Bonz." Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2021. http://d-nb.info/1229387293/34.

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29

Zhu, Ziming. "Mathematical optimization techniques for demand management in smart grids." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/15107.

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The electricity supply industry has been facing significant challenges in terms of meeting the projected demand for energy, environmental issues, security, reliability and integration of renewable energy. Currently, most of the power grids are based on many decades old vertical hierarchical infrastructures where the electric power flows in one direction from the power generators to the consumer side and the grid monitoring information is handled only at the operation side. It is generally believed that a fundamental evolution in electric power generation and supply system is required to make t

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30

Jadeja, Bhoopatsinh Udaysinh. "Mathematical model and optimization of an interleaving warehouse layout." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/91125.

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This research is devoted to the development of a mathematical model for an Interleaving Warehouse Layout. The space allocated to the items in the warehouse is most commonly determined on the basis of inventory cost of the items. Once the space requirements for the items are computed, the actual assignment of items to locations in the warehouse is carried out independently. An Interleaving Warehouse Layout is presented in this research to incorporate both reorder quantity and location of each item in a single comprehensive mathematical model of the warehouse. The advantage of this approach is t

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Wu, Yu. "Mathematical optimization and game theoretic techniques for multicell beamforming." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/20039.

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The main challenge in mobile wireless communications is the incompatibility between limited wireless resources and increasing demand on wireless services. The employment of frequency reuse technique has effectively increased the capacity of the network and improved the efficiency of frequency utilization. However, with the emergence of smart phones and even more data hungry applications such as interactive multimedia, higher data rate is demanded by mobile users. On the other hand, the interference induced by spectrum sharing arrangement has severely degraded the quality of service for users a

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32

Trescher, Saskia [Verfasser]. "Estimating Gene Regulatory Activity using Mathematical Optimization / Saskia Trescher." Berlin : Humboldt-Universität zu Berlin, 2020. http://d-nb.info/1218529822/34.

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33

Bordin, Chiara <1983&gt. "Mathematical Optimization Applied to Thermal and Electrical Energy Systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6915/1/Bordin_Chiara_tesi.pdf.

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This Thesis aims at building and discussing mathematical models applications focused on Energy problems, both on the thermal and electrical side. The objective is to show how mathematical programming techniques developed within Operational Research can give useful answers in the Energy Sector, how they can provide tools to support decision making processes of Companies operating in the Energy production and distribution and how they can be successfully used to make simulations and sensitivity analyses to better understand the state of the art and convenience of a particular technology by co

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Bordin, Chiara <1983&gt. "Mathematical Optimization Applied to Thermal and Electrical Energy Systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6915/.

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This Thesis aims at building and discussing mathematical models applications focused on Energy problems, both on the thermal and electrical side. The objective is to show how mathematical programming techniques developed within Operational Research can give useful answers in the Energy Sector, how they can provide tools to support decision making processes of Companies operating in the Energy production and distribution and how they can be successfully used to make simulations and sensitivity analyses to better understand the state of the art and convenience of a particular technology by co

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35

Lear, John B. "The effects of uncertainty on the economics of optimising control." Phd thesis, Department of Chemical Engineering, 1992. http://hdl.handle.net/2123/5999.

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Greene, James J. "Global optimization of water distribution systems." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020212/.

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Vance, Bennet. "Join-order optimization with Cartesian products." Full text open access at:, 1998. http://content.ohsu.edu/u?/etd,586.

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Mohd, Ismail Bin. "Global optimization using interval arithmetic." Thesis, University of St Andrews, 1987. http://hdl.handle.net/10023/13824.

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This thesis contains a description of algorithm, MW, for bounding the global minimizers and globally minimum value of a twice continuously differentiable function f :Rn → R1 R1 in a compact sub-interval of Rn. The algorithm MW is similar to the algorithm of Hansen (Han-80a] in that interval arithmetic is used together with certain of Hansen's ideas, but is different from Hansen's algorithm in that MW bounds the Kuhn Tucker points corresponding to the global minimizers of f in the given sab-interval. The Kuhn Tucker points are bounded with prescribed precision by using either of the algorithms

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Zhao, Ying, and 趙穎. "Optimization of cooperative material handling systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37837710.

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Manlove, David Francis. "Minimaximal and maximinimal optimisation problems a partial order-based approach /." Thesis, Connect to electronic version, 1998. http://hdl.handle.net/1905/164.

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Gattupalli, Rajeswar R. "Advances in global optimization /." View online ; access limited to URI, 2008. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3314454.

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Battermann, Astrid. "Mathematical optimization methods for the remediation of ground water contaminations." [S.l.] : [s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=963762184.

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Allende, Gemayqzel Bouza. "Mathematical programs with equilibrium constraints: solution techniques from parametric optimization." Enschede : University of Twente [Host], 2006. http://doc.utwente.nl/56164.

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Rahulamathavan, Yogachandran. "Mathematical optimization techniques for resource allocation in cognitive radio networks." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8982.

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Introduction of data intensive multimedia and interactive services together with exponential growth of wireless applications have created a spectrum crisis. Many spectrum occupancy measurements, however, have shown that most of the allocated spectrum are used inefficiently indicating that radically new approaches are required for better utilization of spectrum. This motivates the concept of opportunistic spectrum sharing or the so-called cognitive radio technology that has great potential to improve spectrum utilization. This technology allows the secondary users to access the spectrum which i

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Rozgic, Marco [Verfasser]. "Mathematical Optimization of Industrial Sheet Metal Forming Processes / Marco Rozgic." Hamburg : Helmut-Schmidt-Universität, Bibliothek, 2018. http://d-nb.info/1165340658/34.

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Bournaka, Georgia. "Mathematical optimization and signal processing techniques for cooperative wireless networks." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/13629.

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The rapid growth of mobile users and emergence of high data rate multimedia and interactive services have resulted in a shortage of the radio spectrum. Novel solutions are therefore required for future generations of wireless networks to enhance capacity and coverage. This thesis aims at addressing this issue through the design and analysis of signal processing algorithms. In particular various resource allocation and spatial diversity techniques have been proposed within the context of wireless peer-to-peer relays and coordinated base station (BS) processing. In order to enhance coverage whil

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Sabillón, Antúnez Carlos Francisco. "Mathematical optimization of unbalanced networks operation with smart grid devices." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/154075.

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Oremland, Matthew Scott. "Techniques for mathematical analysis and optimization of agent-based models." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/25138.

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Agent-based models are computer simulations in which entities (agents) interact with each other and their environment according to local update rules. Local interactions give rise to global dynamics. These models can be thought of as in silico laboratories that can be used to investigate the system being modeled. Optimization problems for agent-based models are problems concerning the optimal way of steering a particular model to a desired state. Given that agent-based models have no rigorous mathematical formulation, standard analysis is difficult, and traditional mathematical approaches are

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Rozgi`c, Marco [Verfasser]. "Mathematical Optimization of Industrial Sheet Metal Forming Processes / Marco Rozgic." Hamburg : Helmut-Schmidt-Universität, Bibliothek, 2018. http://d-nb.info/1165340658/34.

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Heymann, Benjamin. "Mathematical contributions for the optimization and regulation of electricity production." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLX052/document.

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Abstract:

Nous présentons notre contribution sur la régulation et l’optimisation de la production d’électricité.La première partie concerne l’optimisation de la gestion d’un micro réseau. Nous formulons le programme de gestion comme un problème de commande optimal en temps continu, puis nous résolvons ce problème par programmation dynamique à l’aide d’un solveur développé dans ce but : BocopHJB. Nous montrons que ce type de formulation peut s’étendre à une modélisation stochastique. Nous terminons cette partie par l’algorithme de poids adaptatifs, qui permet une gestion de la batterie du

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