Run-time reconfigurable approaches for FPGAs are gaining interest as they enlarge the design space for system implementation by sequential execution of temporally exclusive system parts on one or several FPGA resources. In [7], we introduced a novel methodology and a design tool for communication synthesis in reconfigurable embedded systems. In [5], this work was extended by a hierarchical reco...

We survey some randomized search methods for global optimization that are based on sampling from an underlying probability distribution “model” on the solution space. In this approach, the probability model is updated iteratively after evaluating the performance of the samples at each iteration. Such model-based methods include estimation of distribution algorithms (EDAs), the cross-entropy met...

• N14CP model applied across the UK simulates soil and biomass C from 1700 to 2020. N deposition increased in natural land offsetting loss arable expansion. Natural improved grassland show increases whilst areas decrease. Terrestrial carbon storage has by 6.9 % Land use change is a key mechanism for sequestration. Carbon stores terrestrial biosphere globally represent over 50 of present-day org...

The sparse estimation methods that utilize the ℓp-norm, with p being between 0 and 1, have shown better utility in providing optimal solutions to the inverse problem in diffuse optical tomography. These ℓp-norm-based regularizations make the optimization function nonconvex, and algorithms that implement ℓp-norm minimization utilize approximations to the original ℓp-norm function. In this work, ...

this paper is a case study of the cause of distress and evaltion of main runway (29 l-ll r) of mahrabad international airport in 1320 , this run way was built (1800 length & 60 width ) from pcc for small aircrafts. later on 1329 and 13 39 the length of this run way was inc reased to 3000 m and 4000m , respectedly was increased to 3000m and 4000m,respectedly .since 1320, this run wa y h a s bee ...

Traditional optimizers fail to pick good execution plans, when faced with increasingly complex queries and large data sets. This failure is even more acute in the context of XQuery, due to the structured nature of the XML language. To overcome the vulnerabilities of traditional optimizers, we have previously proposed ROX, a Run-time Optimizer for XQueries, which interleaves optimization and exe...

Improving Hit-and-Run is a random search algorithm for global optimization that at each iteration generates a candidate point for improvement that is uniformly distributed along a randomly chosen direction within the feasible region. The candidate point is accepted as the next iterate if it offers an improvement over the current iterate. We show that for positive definite quadratic programs, th...