A block-iterative parallel decomposition method is proposed to solve general quadratic signal recovery problems under convex constraints. The proposed method proceeds by local linearizations of blocks of constraints and it is therefore not sensitive to their analytical complexity. In addition, it naturally lends itself to implementation on parallel computing architectures due to its flexible bl...

In surrogate pregnancies genetic parents have little opportunity for early bonding with their infants either prenatally (in utero) or during the immediate postnatal period. Procedures commonly used to induce lactation include both pharmacologic and nonpharmacologic methods often in combination. Studies reporting induced lactation are sparse due to the rarity of augmented lactation. Here we repo...

A new application for support vector machines is their use for meta-modeling feasible regions in constrained optimization problems. We here describe a solution for the still unsolved problem of a standardized integration of such models into (evolutionary) optimization algorithms with the help of a new decoder based approach. This goal is achieved by constructing a mapping function that maps the...

Abstract This paper combines theoretical analysis with practical examples to examine outstanding issues in research on the inversion-based identification of dense non-aqueous phase liquids (DNAPLs) groundwater. We first generalize relevant geological and hydrogeological conditions establish a conceptual model groundwater contamination. then use it formulate preliminary contamination by DNAPLs b...

Collections play an important part in everyday life. Therefore, conceptual data models should support collection types to make data modeling as natural as possible for its users. Based on the fundamental properties of endorsing order and multiplicity of its elements we introduce the collection types of rankings, lists, sets and bags into the framework of Entity-Relationship modeling. This provi...

In this paper, we have outlined the surrogate management framework for optimization of expensive functions. An initial simple iterative method which we call the “Strawman” method illustrates how surrogates can be incorporated into optimization to stand in for the most expensive function. These ideas are made rigorous by incorporating them into the framework of pattern search methods. The SMF al...

A method for simultaneously constructing a reduced-order model and using it as a surrogate model to solve a PDE-constrained optimization problem is introduced. A reducedorder model is built for the parameters corresponding to the initial guess of the optimization problem. Since the resulting reduced-order model can be expected to be accurate only in the vicinity of this point in the parameter s...

<p style='text-indent:20px;'>In various applications, such as the computation of energy excitation states electrons and molecules, analysis interstellar clouds, linear response eigenvalue problem, which is a special type Hamiltonian frequently encountered. However, traditional eigensolvers may not be applicable to this problem owing its inherently large scale. In fact, we are usually more...

Abstract Wind farm flow control (WFFC) is a promising technology for improving wind operation and design. The presented study focuses on the combination of two most prominent WFFC strategies, yaw-based wake-steering axial induction via constant blade pitch, maximising power production with without load constraint. optimisation performed data-driven polynomial-based probabilistic surrogate model...