Search results for "Minification"

showing 10 items of 91 documents

Systematic Approach To Calculate the Concentration of Chemical Species in Multi-Equilibrium Problems

2010

A general systematic approach is proposed for the numerical calculation of multi-equilibrium problems. The approach involves several steps: (i) the establishment of balances involving the chemical species in solution (e.g., mass balances, charge balance, and stoichiometric balance for the reaction products), (ii) the selection of the unknowns (the concentration of selected chemical species at equilibrium), (iii) the estimation of the concentration of the other species based on the selected species and the equilibrium expressions, and (iv) the minimization of the sum of the squared balances (search of the optimal combination of the unknowns). The application of the systematic approach to cas…

PhysicsChemical speciesAqueous solutionField (physics)Simultaneous equationsComputationPhysical chemistryApplied mathematicsGeneral ChemistryMinificationSolverRedoxEducationJournal of Chemical Education
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Geometric versus numerical optimal control of a dissipative spin-12particle

2010

We analyze the saturation of a nuclear magnetic resonance (NMR) signal using optimal magnetic fields. We consider both the problems of minimizing the duration of the control and its energy for a fixed duration. We solve the optimal control problems by using geometric methods and a purely numerical approach, the grape algorithm, the two methods being based on the application of the Pontryagin maximum principle. A very good agreement is obtained between the two results. The optimal solutions for the energy-minimization problem are finally implemented experimentally with available NMR techniques.

PhysicsClassical mechanicsDissipative systemApplied mathematicsMinificationSpin (physics)Optimal controlSaturation (magnetic)Resonance (particle physics)Atomic and Molecular Physics and OpticsEnergy (signal processing)Magnetic fieldPhysical Review A
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Spline Histogram Method for Reconstruction of Probability Density Functions of Clusters of Galaxies

2003

We describe the spline histogram algorithm which is useful for visualization of the probability density function setting up a statistical hypothesis for a test. The spline histogram is constructed from discrete data measurements using tensioned cubic spline interpolation of the cumulative distribution function which is then differentiated and smoothed using the Savitzky-Golay filter. The optimal width of the filter is determined by minimization of the Integrated Square Error function. The current distribution of the TCSplin algorithm written in f77 with IDL and Gnuplot visualization scripts is available from this http URL

PhysicsCumulative distribution functionMathematicsofComputing_NUMERICALANALYSISProbability density functionAstrophysicsVisualizationSpline (mathematics)Computer Science::GraphicsHistogramMinificationSpline interpolationAlgorithmComputingMethodologies_COMPUTERGRAPHICSStatistical hypothesis testing
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Location of transition states and stable intermediates by MINIMAX/MINIMI optimization of synchronous transit pathways

1983

The MINIMAX/MINIMI concept for the location of transition states and/or stable intermediates of chemical reactions is introduced, based on the synchronous transit method. According to this strategy, minimization of quadratic synchronous transit path maxima or minima is achieved by constrained exhaustive optimization of internal coordinates. The method and its efficiency are demonstrated for two-dimensional model surfaces as well as for thermally allowed electrocyclic interconversions of cyclopropyl-/allyl-cation and cyclobutene-/butadiene (gauche) within the framework of MNDO-SCF calculations. Thus, in both cases a direct comparison with the exact solution determined by minimization of the …

PhysicsMaxima and minimaExact solutions in general relativityQuadratic equationNorm (mathematics)Applied mathematicsChiropracticsMinificationPhysical and Theoretical ChemistryMinimaxMaximaTransition stateTheoretica Chimica Acta
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Model-independent separation of structure functions over an extended kinematical region

1994

A method for the separation of structure functions in (e, e′ p) experiments is proposed, which is an extension of the traditional Rosenbluth-type techniques of [1,2]. In our approach, we use a very flexible Ansatz to describe the structure functions within an extended kinematical regionG and determine its free parameters with a x2 minimization. The procedure is tested by pseudo data (12C(e, e′p)11Bg.s.) in the quasi-free region.

PhysicsNuclear and High Energy PhysicsMathematical analysisHadronElementary particleMinificationExtension (predicate logic)FermionNucleonFree parameterAnsatzZeitschrift f�r Physik A Hadrons and Nuclei
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Multiframe image restoration in the presence of noisy blur kernel

2009

We wish to recover an original image u from several blurry-noisy versions f k , called frames. We assume a more severe degradation model, in which the image u has been blurred by a noisy (stochastic) point spread function. We consider the problem of restoring the degraded image in a variational framework. Since the recovery of u from one single frame f is a highly ill-posed problem, we formulate two minimization problems based on the multiframe approach proposed for image super-resolution by Marquina-Osher [13]. Several experimental results for image restoration are shown, illustrating that the proposed models give visually satisfactory results.

Point spread functionKernel (image processing)Noise measurementbusiness.industryOptical transfer functionComputer visionMinificationArtificial intelligenceEnergy minimizationbusinessImage resolutionImage restorationMathematics2009 16th IEEE International Conference on Image Processing (ICIP)
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Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels

2013

This article introduces and explores a class of degradation models in which an image is blurred by a noisy (stochastic) point spread function (PSF). The aim is to restore a sharper and cleaner image from the degraded one. Due to the highly ill-posed nature of the problem, we propose to recover the image given a sequence of several observed degraded images or multiframes. Thus we adopt the idea of the multiframe approach introduced for image super-resolution, which reduces distortions appearing in the degraded images. Moreover, we formulate variational minimization problems with the robust (local or nonlocal) L^1 edge-preserving regularizing energy functionals, unlike prior works dealing wit…

Point spread functionSequenceMathematical optimizationApplied MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION010103 numerical & computational mathematics02 engineering and technology01 natural sciencesImage (mathematics)Computational MathematicsComputer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSegmentationMinification0101 mathematicsAlgorithmEnergy (signal processing)Image restorationDegradation (telecommunications)MathematicsJournal of Computational and Applied Mathematics
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Iterative Regularization Techniques in Image Reconstruction

2000

In this survey we review recent developments concerning the efficient iterative regularization of image reconstruction problems in atmospheric imaging. We present a number of preconditioners for the minimization of the corresponding Tikhonov functional, and discuss the alternative of terminating the iteration early, rather than adding a stabilizing term in the Tikhonov functional. The methods are examplified for a (synthetic) model problem.

Point spread functionTikhonov regularizationMathematical optimizationConjugate gradient methodMinificationIterative reconstructionRegularization (mathematics)AlgorithmSignal subspaceMathematics
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Simple and Flexible Power Loss Minimizer With Low-Cost MCU Implementation for High-Efficiency Three-Phase Induction Motor Drives

2021

This paper presents a simple, practical and low-cost implementation of a power losses minimization algorithm for three-phase induction motors taking also into account both iron core losses and magnetic saturation. The algorithm evaluates, in real-time, the optimal direct axis magnetizing flux component for efficiency enhancement of the drive. A further advantage of the proposed technique is represented by a flexible and low-cost implementation by means of an ATMEL ATSAM3X8E microcontroller. The power loss minimization algorithm is tested preliminarily by means of several simulations, then, experimentally validated by applying the proposed control strategy on a 5.5 kW Field Oriented Control …

Power lossComputer science05 social sciences020207 software engineering02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciIndustrial and Manufacturing EngineeringPower (physics)Field Oriented Control induction motor Loss Model Control power losses minimizationSettore ING-IND/31 - ElettrotecnicaMicrocontrollerMagnetic coreControl and Systems EngineeringControl theorySimple (abstract algebra)Component (UML)0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesMinificationElectrical and Electronic Engineering050107 human factorsInduction motorIEEE Transactions on Industry Applications
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Minimum power-delay product design of MCML gates

2008

This paper describes a methodology for the minimization of the power-delay product of MCML gates. The method is based on the novel concept of crossing point capacitance. The methodology was been validated by designing several gates using in an IBM 130 nm CMOS process.

Power–delay productbusiness.industryComputer scienceTransistorElectrical engineeringHardware_PERFORMANCEANDRELIABILITYCapacitancelaw.inventionLogic synthesislawLogic gateHardware_INTEGRATEDCIRCUITSElectronic engineeringCurrent-mode logicMinificationIBMbusinessHardware_LOGICDESIGN2008 International Conference on Signals and Electronic Systems
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