Linear programming

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Linear programming (LP, or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships. (

Conferences related to Linear programming

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2019 IEEE Pulsed Power & Plasma Science (PPPS)

Combined conference of the IEEE International Conference on Plasma Science and the IEEE International Pulsed Power Conference

2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications

2018 11th Global Symposium on Millimeter Waves (GSMM)

The main theme of the GSMM2018 is Millimeter-wave Propagation: Hardware, Measurements and Systems. It covers millimeter-wave and THz devices, circuits, systems, and applications, with a special focus on mmWave propagation. The conference will include keynote talks, technical sessions, panels, and exhibitions on the listed topics.

  • 2017 10th Global Symposium on Millimeter-Waves (GSMM)

    The main theme of the symposium is Millimeter-Wave and Terahertz Sensing and Communications. It covers millimeter- wave and THz antennas, circuits, devices, systems and applications.

  • 2016 Global Symposium on Millimeter Waves (GSMM) & ESA Workshop on Millimetre-Wave Technology and Applications

    The main theme of the conference is millimeter-wave and terahertz sensing and communications and the conference covers different topics related to millimeter-wave and terahertz technologies, such as: antennas and propagation, passive and active devices, radio astronomy, earth observation and remote sensing, communications, wireless power transfer, integration and packaging, photonic systems, and emerging technologies.

  • 2015 Global Symposium On Millimeter Waves (GSMM)

    The main theme of the GSMM 2015 is “Future Millimeter-wave and Terahertz Wireless and Wireline”. It will cover all emerging and future millimeter wave and terahertz software and hardware aspects ranging from communicating devices, circuits, systems and applications to passive and active sensing and imaging technologies and applications. The GSMM 2015 will feature world-class keynote speeches, technical sessions, panel discussions and industrial exhibitions in the following (but not limited to) topics listed below.In addition to the regular program, the GSMM 2015 will organize a unique industrial forum for presenting and discussing future wireless technologies and trends including 5G and Terahertz Wireless Systems.

  • 2012 5th Global Symposium on Millimeter Waves (GSMM 2012)

    The aim of the conferences is to bring together people involved in research and development of millimeter-wave components, equipment and systems, and to explore common areas.

  • 2009 Global Symposium On Millimeter Waves (GSMM 2009)

    The GSMM2009 will be held in Sendai, Japan from April 20 to April 22, 2009. The GSMM2009 is the second international conference in its name after the three conferences of TSMMW, MINT-MIS, and MilliLab Workshop on Millimeter-wave Technology and Applications were integrated into GSMM (Global Symposium on Millimeter Waves) in 2007. The main theme of the GSMM2009 is "Millimeter Wave Communications at Hand" and it will focus on millimeter wave devices and systems to realize Giga-bit wireless applications. The

  • 2008 Global Symposium On Millimeter Waves (GSMM 2008)

    Frequency Management and Utilization, Millimeter-Wave Communication Systems, Devices and Circuit Technologies, Wireless Access Systems, Mobile Access Systems, Satellite Communications, LANs and PANs, Home Link Systems, Photonics, Antennas and Propagation, Phased Array Antennas, Signal Processing, Wearable Devices and Systems, Automotive Radars and Remote Sensing, Supporting and Related Technologies

2018 17th International Conference on Information Technology Based Higher Education and Training (ITHET)

The convergence of current technologies provides the infrastructure for transmitting and storing information faster and cheaper. For information to be used in gaining knowledge, however, environments for collecting, storing, disseminating, sharing and constructing knowledge are needed. Such environments, knowledge media, brings together telecommunication, computer and networking technologies, learning theories and cognitive sciences to form meaningful environments that provides for a variety of learner needs. ITHET 2018 will continue with the traditional themes of previous events. However, our special theme for this year is a fundamental one. We have previously had MOOCs as our special theme, but now they are just infrastructure. Even “Blended Learning” is what we all do anyway. In a time of the unprecedented access to knowledge through IT, it is time for us to revisit the fundamental purpose of our educational system. It is certainly not about knowledge anymore.

2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition

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Periodicals related to Linear programming

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.

Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission

Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...

Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...

Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.

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Most published Xplore authors for Linear programming

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Xplore Articles related to Linear programming

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Global planning at Harris Semiconductor

[{u'author_order': 1, u'affiliation': u'Manuf. Syst., Harris Semicond., Palm Bay, FL, USA', u'full_name': u'S. V. Murty'}, {u'author_order': 2, u'affiliation': u'Manuf. Syst., Harris Semicond., Palm Bay, FL, USA', u'full_name': u'J. W. Bienvenu'}] Proceedings of International Symposium on Semiconductor Manufacturing, None

Harris Semiconductor needed an integrated system to manage its entire supply- chain, especially after tripling its manufacturing capacity to enter the commercial markets. The response was to implement the manufacturing planning system known as IMPReSS, Integrated Manufacturing Production Requirements Scheduling System. It is one of the reasons that Harris has been a consistent world-class 95% or better on time delivery ...

Dependable parallel multi-population different evolutionary particle swarm optimization for voltage and reactive power control in electric power systems

[{u'author_order': 1, u'affiliation': u'School of Interdisciplinary Mathematical Sciences Meiji University, Tokyo, Japan', u'full_name': u'Hotaka Yoshida'}, {u'author_order': 2, u'affiliation': u'School of Interdisciplinary Mathematical Sciences Meiji University, Tokyo, Japan', u'full_name': u'Yoshikazu Fukuyama'}] 2017 IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA), None

This paper presents dependable parallel multipopulation differential evolutionary particle swam optimization (DEEPSO) for voltage and reactive power control (VRPC) in electric power systems. Considering large penetration of renewable energies and deregulated environment of power systems, VRPC requires fast computation even for larger-scale problems. One solutions to increase the computation speed is to use parallel and distributed computing. Since power system ...

Runtime optimization of hybrid energy source from an UPS back-upping critical consumer

[{u'author_order': 1, u'affiliation': u'Fac. of Electr. Eng., Tech. Univ. Gheorghe Asachi of Iasi, Iasi, Romania', u'full_name': u'Elena D\u0103nil\u0103'}, {u'author_order': 2, u'affiliation': u'Fac. of Electr. Eng., Tech. Univ. Gheorghe Asachi of Iasi, Iasi, Romania', u'full_name': u'Dorin Dumitru Lucache'}] 2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), None

The vulnerability of electricity consumers must be decreased by integrating specific energy storage systems, which can be used in any situation. As energy distribution and consumption are not constant, the storage units (for backup) must be as high capacity and total availability to streamline the complete system. This paper proposes an objective function of charging an UPS integrated hybrid source ...

Optimization of forecasted port container terminal performance using goal programming

[{u'author_order': 1, u'affiliation': u'Department of Informatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia', u'full_name': u'Shabrina Choirunnisa'}, {u'author_order': 2, u'affiliation': u'Department of Informatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia', u'full_name': u'Riyanarto Sarno'}, {u'author_order': 3, u'affiliation': u'Department of Informatics Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia', u'full_name': u'Abd. Charis Fauzan'}] 2018 International Conference on Information and Communications Technology (ICOIACT), None

A company that has several goals (multi-purpose) to achieve, such as maximizing total sales, maximize production and production capacity, must be in a long time, and time. The method used in this research is objective programming with the occurrence of imported goods activity and messages at container terminals. The calculation results with the programming method can determine the number of ...

Inexact half-quadratic optimization for image reconstruction

[{u'author_order': 1, u'affiliation': u'Creatis (CNRS UMR5220, INSERM U1206), INSA-Lyon, France', u'full_name': u'Marc Robini'}, {u'author_order': 2, u'affiliation': u'Creatis (CNRS UMR5220, INSERM U1206), INSA-Lyon, France', u'full_name': u'Yuemin Zhu'}, {u'author_order': 3, u'affiliation': u'Metislab (LIA CNRS-INSERM), Harbin Institute of Technology, China', u'full_name': u'Xudong Lv'}, {u'author_order': 4, u'affiliation': u'Metislab (LIA CNRS-INSERM), Harbin Institute of Technology, China', u'full_name': u'Wanyu Liu'}] 2016 IEEE International Conference on Image Processing (ICIP), None

We present new global convergence results for half-quadratic optimization in the context of image reconstruction. In particular, we do not assume that the inner optimization problem is solved exactly and we include the problematic cases where the objective function is nonconvex and has a continuum of stationary points. The inexact algorithm is modeled by a set-valued map defined from the ...

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Educational Resources on Linear programming

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No eLearning Articles are currently tagged "Linear programming"


  • Mathematical Tools for Resource Management

  • Security-Constrained Economic Dispatch

    Security-constrained economic dispatch (SCED) is a simplified optimal power flow (OPF) problem. It is widely used in the power industry. This chapter introduces several major approaches to solve the SCED problem, such as linear programming (LP), network flow programming (NFP), and quadratic programming (QP). Then, nonlinear convex network flow programming (NLCNFP) and the genetic algorithm (GA) are added to tackle the SCED problem. It also provides the implementation details of these methods and a number of numerical examples. The chapter presents a new NLCNFP model of economic dispatch control (EDC), which is solved by a combination approach of QP and NFP. It also presents a two-stage economic dispatch (ED) approach according to the practical operation situation of power systems. The first stage involves the classic economic power dispatch without considering network loss. The second stage involves ED considering system power loss and network security constraints.

  • Computer‐Aided Synthesis of Characteristic Polynomials

    This chapter discusses the synthesis of the characteristic polynomials of lowpass lossless prototype filters using an efficient computer‐aided optimization technique. It specifies an unconstrained artificial function for the optimization process that includes the objective function, as well as the inequality and equality constraints. The chapter develops the appropriate objective functions for optimization to generate the known classes of filter functions. The technique described for the computer‐aided optimization of characteristic polynomials for minimum phase filters is equally applicable for linear phase filters, both symmetric and asymmetric. The efficiency of this procedure is demonstrated by including examples of the classical Chebyshev and elliptic function filters as special cases of the design procedure. The computed critical frequencies are specified in Appendix 4A. These data add to the range of unified design charts and also provide guidelines for developing software to synthesize characteristic polynomials for filters with arbitrary amplitude and phase response.

  • Capacity Assignment Problems

    This chapter is devoted to capacity assignment problems in two contexts: (i) long‐term capacity planning where link capacities are upgraded, for example every 6 months to match a forecasted traffic growth, (ii) fast capacity allocation in wireless networks, where capacities are updated at a subsecond rate to adapt to varying network conditions by adjusting transmission power or access probabilities in medium access control. Several case studies are analyzed. In the long‐term planning we provide a closed formula for the minimum congestion capacities with concave link costs; thanks to a previous problem convexification, the minimum cost planning under modular capacities and the joint routing and capacity optimization exploiting forecasts spanning multiple upgrade periods. In the fast capacity adjustment scope, we model with convex programs the persistence probability optimization in Aloha‐like random access networks, the backoff window sizes in CSMA medium access controls, and the transmission power adjustment in cellular networks.

  • Power System Unit Commitment

    This chapter introduces the key components of economic operation of a power system. These key components are unit commitment (UC), economic dispatch, and optimal power flow (OPF). The solutions from the unit commitment and economic dispatch based on a particular OPF determine the optimal generation schedule. Mathematically, the UC problem can be represented as a mixed integer programming (MIP) problem. Moreover, if the problem can be linearized, the problem can be represented as a mixed integer linear programming (MILP) problem. Lagrange relaxation (LR) method is one of the prevailing methods applied to solve UC problems. Heuristic methods are also proposed for solving UC problems. The current implementation of the unit commitment problem faces several new challenges. Therefore, it becomes necessary to develop computational methods to scale the problem and to handle a huge amount of control variables.

  • Operation of Distribution Systems Within Secure Limits Using Real‐Time Model Predictive Control

    The increasing penetration of distributed energy sources at distribution level is expected to create temporary over/under voltages and/or thermal overloads in distribution networks (DNs). This chapter presents robust DN corrective control for temporary over/under voltages and thermal overloads as an alternative to network reinforcements. It introduces the reader to the problem of corrective control of voltages and congestion management of DNs based on model predictive control (MPC) theory. Time domain simulations are included to demonstrate the effectiveness of the presented self‐corrective controllers. Corrective control can be realized according to different architectures: centralized, decentralized, distributed, and hierarchical. The chapter presents the basic formulation of MPC and shows how it is adapted to predict and control the network condition in presence of a high penetration of dispersed generation units (DGUs). Unlike the former formulation, DGU active power may be requested to change in undesirable conditions, not only in an emergency.

  • Fuzzy Multiobjective Decision-Making for Solid Waste Management

    In a multiobjective programming model, the principal ingredients include a set of alternatives, a set of objective functions that describe the gain or loss associated with each alternative resulting from the choice of that alternative, and a set of constraints on the choice between different alternatives. This chapter provides the readers with a holistic insight into fuzzy multiobjective decision-making problems when dealing with a specific type of solid waste management (SWM) issue. A case study of balancing recycling and incineration goals via a fuzzy goal programming model for SWM illuminates the essence of two problems: to what extent are the recycling and incineration compatible? and what are the subsequent economic impacts on the private or the public sectors in various types of management scenarios? In any case, the technique of fuzzy multiobjective decision-making provides an avenue to elucidate the complexity of challenging issues.

  • Optimal Power Flow

    The optimal power flow (OPF) was conceived as an extension of the conventional economic dispatch (ED), where the ED and power flow problems are solved simultaneously. This chapter presents generic formulation for OPF problem. It then describes some solution methods for OPF problem: primal methods, penalty and barrier methods, and linear programming‐based methods. In a competitive electricity market, an important function of the market operator is to determine the prices of the generator energy sales and the associated transmission services, requiring the calculation of spot or real‐time prices. The nodal prices of generation buses are also discovered by solving the economic dispatch problem. An extension of this formulation to price for all buses is possible within the framework of an OPF in which the objective function is the minimization of the total system production cost.

  • Dual Gradient Algorithms

    This chapter is dedicated to dual algorithms, consisting of the application of gradient projection algorithms to the dual of a network design problem. First, we summarize convergence properties, emphasizing the importance of the strict convexity/concavity of the objective function and the role of problem regularization when this does not hold. The dual approach is exemplified in several case studies, providing distributed dual algorithms for adaptive routing, back‐pressure (center‐free) routing, congestion control, and decentralized optimization of CSMA window sizes. Empirical convergence tests are provided under realistic asynchronous executions with delayed and noisy observations, illustrating some of the trade‐offs in parameter setting.

  • Convex Optimization

    This chapter contains sections titled: Linear Programming Quadratic Programming Semidefinite Programming Geometric Programming Lagrange Duality Optimization Algorithm Robust Optimization Multiobjective Optimization Optimization for Radio Resource Management Examples and Applications Summary

Standards related to Linear programming

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(Replaced) IEEE Standard VHDL Language Reference Manual

his standard revises and enhances the VHDL language reference manual (LRM) by including a standard C language interface specification; specifications from previously separate, but related, standards IEEE Std 1164 -1993,1 IEEE Std 1076.2 -1996, and IEEE Std 1076.3-1997; and general language enhancements in the areas of design and verification of electronic systems.

IEEE Standard for Automatic Test Markup Language (ATML) for Exchanging Automatic Test Information via eXtensible Markup Language (XML): Exchanging Test Configuration Information

The scope of this trial-use standard is the definition of an exchange format, using eXtensible Markup Language (XML), for identifying all of the hardware, software, and documentation that may be used to test and diagnose a UUT on an automatic test system (ATS).

IEEE Standard for Information Technology - POSIX Ada Language Interfaces - Part 1: Binding for System Application Program Interface (API)

This document is part of the POSIX series of standards for applications and user interfaces to open systems. It defines the Ada language bindings as package specifications and accompanying textual descriptions of the applications program interface (API). This standard supports application portability at the source code level through the binding between ISO 8652:1995 (Ada) and ISO/IEC 9945-1:1990 (IEEE Std 1003.1-1990 ...

IEEE Standard for Software Unit Testing

IEEE Trial-Use Standard for Automatic Test Markup Language (ATML) for Exchanging Automatic Test Equipment and Test Information via XML: Exchanging Test Descriptions

The scope of this trial-use standard is the definition of an exchange format, utilizing eXtensible Markup Language (XML), for exchanging the test description information defining test performance, test conditions, diagnostic requirements, and support equipment to locate, align, and verify the proper operation of a UUT. This is in support of the development of test program sets (TPSs) that will be ...

Jobs related to Linear programming

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