Search results for "shape"

showing 10 items of 585 documents

On the numerical solution of axisymmetric domain optimization problems by dual finite element method

1994

Shape optimization of an axisymmetric three-dimensional domain with an elliptic boundary value state problem is solved. Since the cost functional is given in terms of the cogradient of the solution, a dual finite element method based on the minimum of complementary energy principle is used. © 1994 John Wiley & Sons, Inc.

Numerical AnalysisFinite element limit analysisApplied MathematicsMathematical analysisMixed finite element methodBoundary knot methodFinite element methodComputational MathematicsMethod of fundamental solutionsShape optimizationAnalysisMathematicsExtended finite element methodFree energy principleNumerical Methods for Partial Differential Equations
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On the reconstruction of discontinuous functions using multiquadric RBF–WENO local interpolation techniques

2020

Abstract We discuss several approaches involving the reconstruction of discontinuous one-dimensional functions using parameter-dependent multiquadric radial basis function (MQ-RBF) local interpolants combined with weighted essentially non-oscillatory (WENO) techniques, both in the computation of the locally optimized shape parameter and in the combination of RBF interpolants. We examine the accuracy of the proposed reconstruction techniques in smooth regions and their ability to avoid Gibbs phenomena close to discontinuities. In this paper, we propose a true MQ-RBF–WENO method that does not revert to the classical polynomial WENO approximation near discontinuities, as opposed to what was pr…

Numerical AnalysisPolynomialLocal multiquadric radial basis function (RBF) interpolationAdaptive parameterGeneral Computer ScienceApplied MathematicsComputationJump discontinuityClassification of discontinuitiesShape parameterTheoretical Computer ScienceApproximation orderGibbs phenomenonMAT/08 - ANALISI NUMERICAsymbols.namesakeWeighted Essentially Non-Oscillatory (WENO) interpolationModeling and SimulationsymbolsApplied mathematicsRadial basis functionMathematicsInterpolation
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Prognostic factors and risk groups in T1G3 non-muscle-invasive bladder cancer patients initially treated with Bacillus Calmette-Guérin: results of a …

2014

Contains fulltext : 153742.pdf (Publisher’s version ) (Closed access) BACKGROUND: The impact of prognostic factors in T1G3 non-muscle-invasive bladder cancer (BCa) patients is critical for proper treatment decision making. OBJECTIVE: To assess prognostic factors in patients who received bacillus Calmette-Guerin (BCG) as initial intravesical treatment of T1G3 tumors and to identify a subgroup of high-risk patients who should be considered for more aggressive treatment. DESIGN, SETTING, AND PARTICIPANTS: Individual patient data were collected for 2451 T1G3 patients from 23 centers who received BCG between 1990 and 2011. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Using Cox multivariable re…

OncologyMaleNon–muscle-invasive bladderBacillus Calmette-Guerin; BCG; Non-muscle-invasive bladder cancer; Prognostic factors; T1G3Settore MED/24 - UrologiaRisk groupsRetrospective StudieRisk FactorsBCGAge Factorskin and connective tissue diseasesBacillus Calmette-GuerinBacillus (shape)Prognostic factorbiologyBacillus Calmette-Gue´rin BCG Non–muscle-invasive bladder cancer Prognostic factors T1G3Age FactorsBacillus Calmette-Gue´rinMiddle AgedPrognosisTumor BurdenBacilluSurvival RateUrological cancers Radboud Institute for Health Sciences [Radboudumc 15]Urinary Bladder NeoplasmBCG VaccineDisease ProgressionFemaleNon muscle invasiveCalmette-GuérinCarcinoma in SituHumanmedicine.medical_specialtyPrognosiNon-muscle-invasive bladder cancerUrologyUrologyT1G3Prognostic factorsCystectomyRisk AssessmentNon–muscle-invasive bladder cancerFollow-Up StudieAdjuvants ImmunologicInternal medicineUrological cancers Radboud Institute for Molecular Life Sciences [Radboudumc 15]medicinecancerHumansAgedRetrospective StudiesBladder cancerbusiness.industryRisk Factorbiology.organism_classificationmedicine.diseaseMulticenter studyUrinary Bladder NeoplasmsProper treatmentNeoplasm Recurrence LocalbusinessFollow-Up StudiesEuropean urology
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<title>Optical sensing for early cardiovascular diagnostics</title>

2000

A sensor device for noninvasive detection and analysis of the pulsating blood flow waveforms by means of the reflective single-period photoplethysmorgraphy (SPPPG) technique has been designed and clinically tested. The sensor is operated jointly with any standard PC, by connecting the sensor head to the AD-card and using a separate hard disc with the signal processing software; all circuits are fed by the PC power supply. After processing, normalized shape of the mean SPPPG signal and its parameters are calculated and displayed; the measurement/processing time does not exceed 2 minutes. The clinically detected SPPPG signal shapes and corresponding parameters are presented and discussed. The…

Optical amplifierSignal processingComputer sciencePhotoplethysmogramAcousticsElectronic engineeringWaveformDetection theorySignalShape analysis (digital geometry)Electronic circuitSPIE Proceedings
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Existence for shape optimization problems in arbitrary dimension

2002

We discuss some existence results for optimal design problems governed by second order elliptic equations with the homogeneous Neumann boundary conditions or with the interior transmission conditions. We show that our continuity hypotheses for the unknown boundaries yield the compactness of the associated characteristic functions, which, in turn, guarantees convergence of any minimizing sequences for the first problem. In the second case, weaker assumptions of measurability type are shown to be sufficient for the existence of the optimal material distribution. We impose no restriction on the dimension of the underlying Euclidean space.

Optimal designControl and OptimizationCompact spaceEuclidean spaceApplied MathematicsDimension (graph theory)Mathematical analysisConvergence (routing)Neumann boundary conditionShape optimizationType (model theory)MathematicsMuoto-optimointiongelmat
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On State Constrained Optimal Shape Design Problems

1987

This paper is concerned with the following optimal design problem with constraints both on the state and on the control: $$MinimizeJ(y,u)$$ (P) subject to $$A\left( u \right)y + \partial \varphi \left( y \right) \mathrel\backepsilon Bu + f,$$ (1.1) $$y \in K,$$ (1.2) $$u \in {U_{ad}}.$$ (1.3)

Optimal designDiscrete mathematicsShape designVariational inequalityConstrained optimizationState (functional analysis)Mathematics
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Fixed domain approaches in shape optimization problems with Dirichlet boundary conditions

2009

Fixed domain methods have well-known advantages in the solution of variable domain problems including inverse interface problems. This paper examines two new control approaches to optimal design problems governed by general elliptic boundary value problems with Dirichlet boundary conditions. Numerical experiments are also included peerReviewed

Optimal designkäänteisongelmatFictitious domain methodApplied MathematicsMathematical analysisMixed boundary conditionDomain (mathematical analysis)inversio-ongelmatComputer Science ApplicationsTheoretical Computer Sciencesymbols.namesakeoptimal controlDirichlet boundary conditionDirichlet's principleSignal Processingmuodon optimointishape optimizationsymbolsShape optimizationBoundary value problemMathematical PhysicsMathematics
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Contact Shape Optimization

1995

Shape optimization is a branch of the optimal control theory in which the control variable is connected with the geometry of the problem. The aim is to find a shape from an a priori defined class of domains, for wich the corresponding cost functional attains its minimum. Shape optimization of mechanical systems, behaviour of which is described by equations, has been very well analyzed from the mathematical, as well as from the mechanical point of view, see [1], [2], [3] and references therein. The aim of this contribution is to extend results to the case, in which the system is described by the so called variational inequalities. There are two reasons for doing that: 1) The behavior of many…

Optimization problemComputer scienceVariational inequalityControl variableApplied mathematicsShape optimizationMinificationFunction (mathematics)State (functional analysis)Optimal control
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A gradient-based decomposition approach to optimize pressure path and counterpunch action in Y-shaped tube hydroforming operations

2008

International audience; In tube hydroforming, the concurrent actions of pressurized fluid and mechanical feeding allows obtaining tube shapes characterized by complex geometries such as different diameters sections and/or bulged zones. Main process parameters are material feeding history (i.e., the punches velocity history), internal pressure path during the process, and (in T- or Y-shaped tube hydroforming) counterpunch action. What is crucial, in such processes, is the proper design of operative parameters aimed to avoid defects (for instance underfilling or ductile fractures). Actually, the design of tube hydroforming operations is mainly aimed to prevent bursting or buckling occurrence …

Optimization0209 industrial biotechnologyEngineeringOptimization problemMechanical engineering02 engineering and technologyIndustrial and Manufacturing EngineeringDecomposition approach[SPI.MAT]Engineering Sciences [physics]/Materials020901 industrial engineering & automationY-shaped tube hydroforming Gradient-based techniques Decomposition approach Optimization0203 mechanical engineeringDecomposition (computer science)Tube (container)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneY-shaped tube hydroformingHydroformingbusiness.industryMechanical EngineeringGradient-based techniquesProcess (computing)Internal pressureStructural engineering[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]Computer Science Applications020303 mechanical engineering & transportsBucklingControl and Systems EngineeringPath (graph theory)businessSoftware
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Weibull Prediction Limits for a Future Number of Failures Under Parametric Uncertainty

2012

In this paper, we present an accurate procedure, called “within-sample prediction of order statistics,” to obtain prediction limits for the number of failures that will be observed in a future inspection of a sample of units, based only on the results of the first in-service inspection of the same sample. The failure-time of such units is modeled with a two-parameter Weibull distribution indexed by scale and shape parameters β and δ, respectively. It will be noted that in the literature only the case is considered when the scale parameter β is unknown, but the shape parameter δ is known. As a rule, in practice the Weibull shape parameter δ is not known. Instead it is estimated subjectively …

Order statisticAncillary statisticStatisticsApplied mathematicsInvariant (mathematics)Pivotal quantityScale parameterShape parameterWeibull distributionParametric statisticsMathematics
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