Quadratic programming

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Quadratic programming (QP) is a special type of mathematical optimization problem. (Wikipedia.org)






Conferences related to Quadratic programming

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Multimedia and Expo (ICME)

Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.

  • 2019 IEEE International Conference on Multimedia and Expo (ICME)

    speech, audio, image, video, text and new sensor signal processingsignal processing for media integration3D imaging, visualization and animationvirtual reality and augmented realitymulti-modal multimedia computing systems and human-machine interactionmultimedia communications and networkingmedia content analysis and searchmultimedia quality assessmentmultimedia security and content protectionmultimedia applications and servicesmultimedia standards and related issues

  • 2018 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes.

  • 2017 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to: – Speech, audio, image, video, text and new sensor signal processing – Signal processing for media integration – 3D visualization and animation – 3D imaging and 3DTV – Virtual reality and augmented reality – Multi-modal multimedia computing systems and human-machine interaction – Multimedia communications and networking – Media content analysis – Multimedia quality assessment – Multimedia security and content protection – Multimedia databases and digital libraries – Multimedia applications and services – Multimedia standards and related issues

  • 2016 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to:- Speech, audio, image, video, text and new sensor signal processing- Signal processing for media integration- 3D visualization and animation- 3D imaging and 3DTV- Virtual reality and augmented reality- Multi-modal multimedia computing systems and human-machine interaction- Multimedia communications and networking- Media content analysis- Multimedia quality assessment- Multimedia security and content protection- Multimedia databases and digital libraries- Multimedia applications and services- Multimedia standards and related issues

  • 2015 IEEE International Conference on Multimedia and Expo (ICME)

    With around 1000 submissions and 500 participants each year, the IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2014 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications. In 2014, an Exposition of multimedia products, prototypes and animations will be held in conjunction with the conference.Topics of interest include, but are not limited to:

  • 2013 IEEE International Conference on Multimedia and Expo (ICME)

    To promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2012 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE Societies. It exchanges the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2011 IEEE International Conference on Multimedia and Expo (ICME)

    Speech, audio, image, video, text processing Signal processing for media integration 3D visualization, animation and virtual reality Multi-modal multimedia computing systems and human-machine interaction Multimedia communications and networking Multimedia security and privacy Multimedia databases and digital libraries Multimedia applications and services Media content analysis and search Hardware and software for multimedia systems Multimedia standards and related issues Multimedia qu

  • 2010 IEEE International Conference on Multimedia and Expo (ICME)

    A flagship multimedia conference sponsored by four IEEE societies, ICME serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2009 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2008 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2007 IEEE International Conference on Multimedia and Expo (ICME)

  • 2006 IEEE International Conference on Multimedia and Expo (ICME)

  • 2005 IEEE International Conference on Multimedia and Expo (ICME)

  • 2004 IEEE International Conference on Multimedia and Expo (ICME)

  • 2003 IEEE International Conference on Multimedia and Expo (ICME)

  • 2002 IEEE International Conference on Multimedia and Expo (ICME)

  • 2001 IEEE International Conference on Multimedia and Expo (ICME)

  • 2000 IEEE International Conference on Multimedia and Expo (ICME)


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Periodicals related to Quadratic 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.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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 ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Quadratic programming

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Xplore Articles related to Quadratic programming

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Four-port transformer in silicon-based technology

2007 European Microwave Integrated Circuit Conference, 2007

The comprehensive characterization of 4-port transformer is paid in this paper, the contents include such as figure-of-merit, differential excitation. The coupling coefficient is added into the performance index of transformer. A foundry 90 nm CMOS technology is adopted to fabricate the 4-port transformer. Finally, an equivalent circuit is proposed to extract the model parameter in these transformers.


Computational algorithm based on state parametrization for constrained nonlinear optimal control problem

Proceedings of the 36th IEEE Conference on Decision and Control, 1997

An algorithm, based on quasi-linearization and state variable parametrization by using Chebyshev polynomials, is proposed to solve the nonlinear optimal control problem subject to terminal state constraints and control saturation constraints. By the virtue of the second method of quasi-linearization and state parametrization, the difficult nonlinear optimal control problem is converted into a sequence of standard quadratic programming problems. An ...


Analytic approach to three layer channel routing

Electronics Letters, 1992

An analytic procedure for the three-layer channel routing problem is presented. The channel routing problem is formulated as a quadratic 0-1 integer programming where the quadratic function represents the amount of internet overlap, followed by a postprocessing heuristic procedure to improve the result. Experiments on the benchmark examples produced optimal results for nearly all the examples. The proposed algorithm can ...


Implementation of modern heuristic techniques for solution of economic dispatch problem with valve point loading

2006 IEEE Power India Conference, 2006

This paper presents an efficient and reliable evolutionary programming based algorithm for solving economic load dispatch problem with valve point loading. The superiority of EP and HEP methods has been demonstrated for 3 unit system by performing valve point curves including losses. It has been observed that the HEP outperforms the other methods in solving power system economic load dispatch ...


Impact of Transitor Matching on Features of Digital Circuit Blocks

2007 IEEE International Conference on Microelectronic Test Structures, 2007

Digital circuit blocks are extracted from full custom digital circuits as units for test structures. The test structures are suited for a statistical evaluation of circuit features like the pre-charge of node voltages of fast decision circuits. A statistical evaluation is needed to account for process variations. The circuit characterization results allow a comparison with statistical device models. Circuit performance ...


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Educational Resources on Quadratic programming

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IEEE-USA E-Books

  • Four-port transformer in silicon-based technology

    The comprehensive characterization of 4-port transformer is paid in this paper, the contents include such as figure-of-merit, differential excitation. The coupling coefficient is added into the performance index of transformer. A foundry 90 nm CMOS technology is adopted to fabricate the 4-port transformer. Finally, an equivalent circuit is proposed to extract the model parameter in these transformers.

  • Computational algorithm based on state parametrization for constrained nonlinear optimal control problem

    An algorithm, based on quasi-linearization and state variable parametrization by using Chebyshev polynomials, is proposed to solve the nonlinear optimal control problem subject to terminal state constraints and control saturation constraints. By the virtue of the second method of quasi-linearization and state parametrization, the difficult nonlinear optimal control problem is converted into a sequence of standard quadratic programming problems. An example is given to show the effectiveness of the proposed algorithm.

  • Analytic approach to three layer channel routing

    An analytic procedure for the three-layer channel routing problem is presented. The channel routing problem is formulated as a quadratic 0-1 integer programming where the quadratic function represents the amount of internet overlap, followed by a postprocessing heuristic procedure to improve the result. Experiments on the benchmark examples produced optimal results for nearly all the examples. The proposed algorithm can be generally applied to multilayer routing problems.<<ETX>>

  • Implementation of modern heuristic techniques for solution of economic dispatch problem with valve point loading

    This paper presents an efficient and reliable evolutionary programming based algorithm for solving economic load dispatch problem with valve point loading. The superiority of EP and HEP methods has been demonstrated for 3 unit system by performing valve point curves including losses. It has been observed that the HEP outperforms the other methods in solving power system economic load dispatch problem in terms of convergence rate, and quality and success rate

  • Impact of Transitor Matching on Features of Digital Circuit Blocks

    Digital circuit blocks are extracted from full custom digital circuits as units for test structures. The test structures are suited for a statistical evaluation of circuit features like the pre-charge of node voltages of fast decision circuits. A statistical evaluation is needed to account for process variations. The circuit characterization results allow a comparison with statistical device models. Circuit performance is often guaranteed by adding a constant value to a figure of merit as a margin. The constant margin procedure for the circuit performance can be replaced by realistic margins applying the characterization results.

  • A New Optimization Method of Large-Scale SVMs Based on Kernel Distance Clustering

    Against the low efficiency of training on large-scale SVM, a reduction approach based on kernel distance clustering is proposed. The kernel distance's formulation is brought in to cluster the highly-dimensioned dataset, and the clustering step will reduce a large amount of unsupport vectors during training, thereby, the training time will decrease. The experiments show that this new training algorithm is able to speed up the training process and improve the classification's precision.

  • Design of threshold Boolean filters under MSE criterion by iterative searching

    Threshold Boolean filters (TBFs) constitute a large class of nonlinear filters which are effective in removing impulsive noise and preserving image details. The minimum mean square error (MMSE) design of TBFs is found to be a quadratic 0-1 programming problem. Unfortunately, solving the problem needs a huge number of computations. We propose an iterative search algorithm of very low complexity to solve the design problem sub-optimally. In each iteration, only one variable is considered and updated. Simulation shows that the proposed algorithm converges quickly and often converges to the optimal solution.

  • v-support vector classification with uncertainty based on expert advices

    Support vector techniques have been successfully applied to many real-world problems, but it is difficult to select the parameter C. The v-support vector classification (v-SVC) has the advantage of a parameter v on controlling the number of support vectors. However, it is required that every input must be exactly assigned to one of these two classes without any uncertainty. A new v-SVM technique is proposed which is able to deal with training data with uncertainty based on expert advices. Firstly, the meaning of the uncertainty is defined. Based on this meaning of uncertainty, the algorithm has been derived. This technique extends the application horizon of v-SVM greatly. As an application, the problem about early warning of grain production is solved by our algorithm.

  • Reconstructing a finite length sequence from several of its correlation lags

    In this paper we present an algorithm which answers the following question: Given a finite number of correlation lags, what is the shortest length sequence which could have produced these correlations? This question is equivalent to asking for the minimum order moving average (all-zero) model which can match a given set of correlations. The algorithm applies to both the case of uniform correlations and missing lag correlations. The algorithm involves quadratic programming coupled with a new representation of the boundary of correlations derived from finite sequences in terms of the spectral decomposition of a certain class of banded Toeplitz matrices.

  • Using Quadratic Programming to Optimally Adjust Hierarchical Load Forecasting

    Electric load is hierarchically organized based on geography, which requires hierarchical forecasts covering all levels to support decision makings of power system operations. A trivial way to implement hierarchical forecasts is to independently generate load forecasts at each level using state-of-the-art techniques. However, these independently-generated forecasts may not satisfy hierarchical structures, i.e., the sum of lower-level forecasts cannot add up exactly to upper-level forecasts. To deal with this problem, this letter presents a quadratic programming (QP) model to optimally adjust load forecasts independently generated at each level of a hierarchy. The proposed model obtains the “best” forecasts as close as possible to base forecasts but also satisfy the aggregate consistency defined by hierarchical structures. Numerical results using real-world data validate the effectiveness of the proposed approach in two application scenarios (i.e., bulk power systems and power distribution networks). The accuracy improvement of the proposed approach over either base forecasts or bottom-up forecasts can be observed at all levels of the hierarchy.



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