This paper presents a combined blade element (BE), computational fluid dynamics (CFD) method for performance analysis and optimization of ducted turbines. The model is similar to standard blade element momentum theory, except that CFD replaces the momentum equation for determining the induction factors. This eliminates many assumptions used in applying the typical blade element momentum (BEM) t...

The paper describes an application of the numerical optimization methods for the design of non-adaptive multisensor arrays. The parameters and the geometry of such arrays do not change with changes in the input signals, and must be chosen in advance, depending on the array application. Generally, the goal of a non-adaptive multisensor array may be numerically expressed through its pattern funct...

Our software, Jest, comprises a general and extendible library for numerical optimization for science and engineering, Jam, and a particular extension of that framework for seismic image processing, Jag. Jest successfully separates optimization and application software without imposing limitations on an application’s vector representation, on an application’s operator implementation, or on a so...

Within the work of the EU-funded SIROCCO project new airfoils for the tip region of two reference wind turbines are being designed with the objective to reduce the trailing-edge noise while maintaining the performance. The present paper focuses on the description of the optimization tools along with the aerodynamic and aeroacoustic prediction methods used. Comparisons with detailed boundary-lay...

The current methodology for designing highly efficient technological systems needs to choose the best combination of the parameters that affect the performance. In this paper we propose a promising optimization algorithm, referred to as the Multilevel Ant Stigmergy Algorithm (MASA), which exploits stigmergy in order to optimize multi-parameter functions. We evaluate the performance of the MASA ...

Photonic crystals (PhCs) are engineered nanostructures that enable an extraordinary control over the flow of light. These structures can be fabricated out of common semiconductors, are compatible with existing industrial fabrication technologies, and are expected to play a major role in future devices integrating photonic circuits – e.g. for telecommunications or in future quantum technologies....

High-energy physics experiments rely on reconstruction of the trajectories of particles produced at the interaction point. This is a challenging task, especially in the high track multiplicity environment generated by p-p collisions at the LHC energies. A typical event includes hundreds of signal examples (interesting decays) and a significant amount of noise (uninteresting examples). This work...

We still need to show that the directions p0, p1, . . . , pn−1 generated by Algorithms 1 and (2) are conjugate wrt A. If so, then by Theorem 11.3, this algorithm will terminate in n steps. The next theorem shows this property, along with two other important properties: (i) the residuals ri are mutually orthogonal, and (ii) each pk and rk is contained in the Krylov subspace of degree k for r0, d...

This paper describes a nonlinear least squares framework to solve a separable nonlinear ill-posed inverse problems that arises in blind deconvolution. It is shown that with proper constraints and well chosen regularization parameters, it is possible to obtain an objective function that is fairly well behaved and the nonlinear minimization problem can be effectively solved by a Gauss-Newton meth...