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Showing 1 to 20 of 107 for “"Hessian"”.
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Characterization of Hessian fly from Israel
<p>Mayetiola destructor Say, the Hessian fly, is a gall midge and a member of the Dipteran family Cecidomyiidae. It is a common pest of wheat found throughout all of the major wheat growing areas of the world and poses a serious economic threat to the United States (US), particularly in the …
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DISCOVERY AND FUNCTIONAL ANALYSES OF HESSIAN FLY EFFECTOR-ENCODING GENES
The Hessian fly - wheat system is a well-known model of gene-for-gene interac- tion between host plants and parasitic insects. The Hessian fly uses secreted effector proteins to control susceptible host plant physiology, transforming the plant cells in a nutritive tissue to support the developing …
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Examining Hessian fly (Mayetiola destructor) management concepts and quantifying the physiological impact of hessian fly feeding on post-vernalization selected cultivars of winter wheat in Kansas
The Hessian fly, Mayetiola destructor (Say), has been a historically significant pest of wheat in Kansas. However, it has been 60+ years since research has been conducted examining the flies’ activity throughout the year. Results of pheromone trapping in 4 counties in Kansas shows that Hessian fly …
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Continuity Properties and Variational Problems Involving the Determinant of the Hessian
… of the distributional determinant of the Hessian of a scalar function u in various function spaces. It is well known that when D is a bounded, open subset of n-dimensional Euclidean space Rn, the distributional determinant of the Hessian is weakly continuous in the Sobolev space of …
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Hessian-based model reduction with applications to initial-condition inverse problems
… of an eigenvalue problem, yielding an efficient Hessian based model reduction algorithm that scales well to systems with states of high dimension. Furthermore, tight upper bounds are given for the error in the outputs of the reduced models. The reduction methodology is demonstrated for several …
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Hessian Matrix-Free Lagrange-Newton-Krylov-Schur-Schwarz Methods for Elliptic Inverse Problems
… Newton-Krylov method employed in a Hessian-free manner. The preconditioners have an inner-outer structure, taking the form of a Schur complement (block factorization) at the outer level and Schwarz projections at the inner level. However, building an exact Schur complement is …
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Identification of quantitative trait loci, candidate genes and diagnostic markers for Hessian fly resistance in wheat
Hessian fly (HF), Mayetiola destructor (Say), is a destructive insect pest of wheat (Triticum aestivum L.) worldwide. Growing resistant cultivars is the most effective approach for HF management. Although over 50 HF resistance (H) genes and quantitative trait loci (QTL) have been reported, only a …
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Development of an Accurate and Efficient Method for Normal Mode Analysis in Extended Molecular Systems: the Mobile Block Hessian Method
… of the full mass-weighted molecular Hessian matrix, which contains the second derivatives of the total potential energy with respect to Cartesian nuclear coordinates, evaluated in an equilibrium point on the potential energy surface (PES). By performing NMA, the system is approximated …
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Optimal sensor placement
… the second one is based on the evaluation of the Hessian matrix at the critical points. The optimal sensor/actuator location found using the gradient flow or Hessian matrix is usually not sparse. However in practical settings, the optimal sensor/actuator locations are often determined by discrete …
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Uncertainty Quantification in ocean state estimation
… the large dimensionality of global ocean models. Hessian (second derivative-based) methodology is developed for Uncertainty Quantification (UQ) in large-scale ocean state estimation, extending the gradient-based adjoint method to employ the second order geometry information of the model-data …
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Geometrically-informed methods of wave-based imaging
… R „ σ. In the second part, we investigate the Hessian operator, which arises from the second-order adjoint-state method, in the context of full-waveform inversion, a non-linear least-squares problem for estimating material properties within the domain of interest. We analyze the contributions …
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Uncertainty quantification in ocean state estimation
… the large dimensionality of global ocean models. Hessian (second derivative-based) methodology is developed for Uncertainty Quantification (UQ) in large-scale ocean state estimation, extending the gradient-based adjoint method to employ the second order geometry information of the model-data …
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Large-Scale Simulations Using First and Second Order Adjoints with Applications in Data Assimilation
… optimization, uncertainty quantification, and Hessian singular vectors. Since second order adjoints provide second order information in the form of Hessian-vector product instead of the entire Hessian matrix, it is possible to implement applications for large-scale models which require second …
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Novel higher order regularisation methods for image reconstruction
… introduce, study and analyse a novel non-local Hessian functional. We prove localisations of the non-local Hessian to the local analogue in several topologies and our analysis results in derivative-free characterisations of higher order Sobolev and BV spaces. An alternative formulation of a …
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Estimating open-ocean boundary conditions : sensitivity studies
… variables can be evaluated from the inverse Hessian of the cost function. The first major scientific objective of this work is the estimation of initial and boundary conditions for the model from sparse interior data. First the vorticity initial conditions are used as control variables and …
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Recovery Techniques For Finite Element Methods And Their Applications
… target is to propose and analyze a new effective Hessian recovery for continuous finite element of arbitrary order. The proposed Hessian recovery is based on polynomial preserving recovery. The proposed method preserves polynomials of degree (k + 1) on general unstructured meshes and polynomials …
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Least Relative Change Quasi-Newton Updates for Chemical Engineering Process Optimization
… in approximation of the sparse symmetric Hessian matrix by using traditional sparse least absolute change quasi-Newton updates.
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Local Regularity of the Complex Monge-Ampere Equation
… perturbed solutions, Holder regularity of the Hessian of the W^{2,p} solutions and a Liouville-type theorem.
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