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Eiropas Savienības Kopējās Lauksaimniecības politikas 2007. - 2013. ietekme uz Latvijas lauksaimniecības attīstību, Tukuma novada gadījums
2018
Bakalaura darba ‘’Eiropas Savienības Kopējās Lauksaimniecības politikas 2007. - 2013. ietekme uz Latvijas lauksaimniecības attīstību, Tukuma novada gadījums’’ mērķis ir noskaidrot, vai laika posmā no 2007. līdz 2013. gadam Tukuma novada lauksaimniecības sektors ir attīstījies saistībā ar Eiropas Savienības Kopējās Lauksaimniecības politikas mērķiem. Lai sasniegtu darba mērķi, pētījumā tika pētīta Kopējās Lauksaimniecības politikas attīstība, īpašu uzmanību vēršot uz 2007-2013 periodu, un šī perioda Kopējās lauksaimniecības politikas organizēšanu. Lai sekmīgi pētītu lauku attīstības pīlāra ietekmi Tukuma novadā, padziļināti tika izpētīta Latvijas Lauku Attīstības programma. Lai izskaidrotu K…
ASV ārpolitika pret Ziemeļkoreju pēc Aukstā kara beigām
2015
Maģistra darbā tiek aplūkotas ASV un Ziemeļkorejas attiecības pēc Aukstā kara, pievēršot uzmanību ASV prezidenta administrāciju negatīvo priekšstatu lomai par Ziemeļkoreju, veidojot ārpolitiku pret to. Lai noskaidrotu, vai ASV veidoja savu ārpolitiku pret Ziemeļkoreju, balstoties uz šiem priekšstatiem, par darba teorētisko ietvaru izvēlēts neoreālisms un tā apakšteorijas – defensīvais un ofensīvais reālisms, kā arī neoreālista Roberta Džervisa uztveres teorija. Empīriskajā daļā izmantoti ASV lēmumu pieņēmēju izteikumi, memuāri, valsts dokumenti un akadēmiķu pētījumi. Darbā veiktās analīzes rezultāti apstiprina, ka ASV prezidentu administrācijas veidoja ārpolitiku pret Ziemeļkoreju, balstoti…
Optimizing Fuel Consumption and Pollutant Emissions of a Spark Ignition Engine for Eco-driving Applications
2018
VPPC 2018, Vehicle Power and Propulsion Conference, Chicago, ETATS-UNIS, 27-/08/2018 - 30/08/2018; The transportation sector is a major contributor to both air pollution and greenhouse gas emissions. While optimizing fuel consumption reduces CO2 emissions, it can increase fuel-rich operation and cause higher HC and CO emissions. A simplified emissions model is thus introduced in order to account for the impact of air/fuel ratio on both the exhaust concentration of regulated pollutants and the catalyst efficiency. This model is used to solve the eco-driving problem with dynamic programming and a weighted objective function. An emission-centered and a consumption-centered scenario are compare…
Cell-average multiresolution based on local polynomial regression. Application to image processing
2014
In Harten (1996) [32] presented a general framework about multiresolution representation based on four principal operators: decimation and prediction, discretization and reconstruction. The discretization operator indicates the nature of the data. In this work the pixels of a digital image are obtained as the average of a function in some defined cells. A family of Harten cell-average multiresolution schemes based on local polynomial regression is presented. The stability is ensured by the linearity of the operators obtained and the order is calculated. Some numerical experiments are performed testing the accuracy of the prediction operators in comparison with the classical linear and nonli…
Non-separable local polynomial regression cell-average multiresolution operators. Application to compression of images
2016
Abstract Cell-average multiresolution Harten׳s algorithms have been satisfactorily used to compress data. These schemes are based on two operators: decimation and prediction. The accuracy of the method depends on the prediction operator. In order to design a precise function, local polynomial regression has been used in the last years. This paper is devoted to construct a family of non-separable two-dimensional linear prediction operators approximating the real values with this procedure. Some properties are proved as the order of the scheme and the stability. Some numerical experiments are performed comparing the new methods with the classical linear method.
Non-linear Local Polynomial Regression Multiresolution Methods Using $$\ell ^1$$-norm Minimization with Application to Signal Processing
2015
Harten’s Multiresolution has been developed and used for different applications such as fast algorithms for solving linear equations or compression, denoising and inpainting signals. These schemes are based on two principal operators: decimation and prediction. The goal of this paper is to construct an accurate prediction operator that approximates the real values of the signal by a polynomial and estimates the error using \(\ell ^1\)-norm in each point. The result is a non-linear multiresolution method. The order of the operator is calculated. The stability of the schemes is ensured by using a special error control technique. Some numerical tests are performed comparing the new method with…
Non-consistent cell-average multiresolution operators with application to image processing
2016
In recent years different techniques to process signal and image have been designed and developed. In particular, multiresolution representations of data have been studied and used successfully for several applications such as compression, denoising or inpainting. A general framework about multiresolution representation has been presented by Harten (1996) 20. Harten's schemes are based on two operators: decimation, D , and prediction, P , that satisfy the consistency property D P = I , where I is the identity operator. Recently, some new classes of multiresolution operators have been designed using learning statistical tools and weighted local polynomial regression methods obtaining filters…
On specific stability bounds for linear multiresolution schemes based on piecewise polynomial Lagrange interpolation
2009
Abstract The Deslauriers–Dubuc symmetric interpolation process can be considered as an interpolatory prediction scheme within Harten's framework. In this paper we express the Deslauriers–Dubuc prediction operator as a combination of either second order or first order differences. Through a detailed analysis of certain contractivity properties, we arrive to specific l ∞ -stability bounds for the multiresolution transform. A variety of tests indicate that these l ∞ bounds are closer to numerical estimates than those obtained with other approaches.
Optimal Impulse Control Problems and Linear Programming
2009
Optimal impulse control problems are, in general, difficult to solve. A current research goal is to isolate those problems that lead to tractable solutions. In this paper, we identify a special class of optimal impulse control problems which are easy to solve. Easy to solve means that solution algorithms are polynomial in time and therefore suitable to the on-line implementation in real-time problems. We do this by using a paradigm borrowed from the Operations Research field. As main result, we present a solution algorithm that converges to the exact solution in polynomial time. Our approach consists in approximating the optimal impulse control problem via a binary linear programming proble…
Spectrum of composition operators on S(R) with polynomial symbols
2020
Abstract We study the spectrum of operators in the Schwartz space of rapidly decreasing functions which associate each function with its composition with a polynomial. In the case where this operator is mean ergodic we prove that its spectrum reduces to {0}, while the spectrum of any non mean ergodic composition operator with a polynomial always contains the closed unit disc except perhaps the origin. We obtain a complete description of the spectrum of the composition operator with a quadratic polynomial or a cubic polynomial with positive leading coefficient.