نتایج جستجو برای: univariate deterministic methods idw

تعداد نتایج: 1927363  

2016
Wei Liu Peijun Du Zhuowen Zhao Lianpeng Zhang

The concept of spatial interpolation is important in the soil sciences. However, the use of a single global interpolation model is often limited by certain conditions (e.g., terrain complexity), which leads to distorted interpolation results. Here we present a method of adaptive weighting combined environmental variables for soil properties interpolation (AW-SP) to improve accuracy. Using vario...

Journal: :Environmental monitoring and assessment 2012
Natalie E Latysh Gregory Alan Wetherbee

High-elevation regions in the United States lack detailed atmospheric wet-deposition data. The National Atmospheric Deposition Program/National Trends Network (NADP/NTN) measures and reports precipitation amounts and chemical constituent concentration and deposition data for the United States on annual isopleth maps using inverse distance weighted (IDW) interpolation methods. This interpolation...

2015
Ilya Volkovich

We present the first efficient deterministic algorithm for factoring sparse polynomials that split into multilinear factors and sums of univariate polynomials. Our result makes partial progress towards the resolution of the classical question posed by von zur Gathen and Kaltofen in [6] to devise an efficient deterministic algorithm for factoring (general) sparse polynomials. We achieve our goal...

Journal: :CoRR 2018
Vincent Neiger Johan Rosenkilde Grigory Solomatov

We consider the computation of two normal forms for matrices over the univariate polynomials: the Popov form and the Hermite form. For matrices which are square and nonsingular, deterministic algorithms with satisfactory cost bounds are known. Here, we present deterministic, fast algorithms for rectangular input matrices. The obtained cost bound for the Popov form matches the previous best know...

Journal: :ISPRS Int. J. Geo-Information 2017
Yang Cui Qingquan Li Qingyuan Li Jiasong Zhu Chisheng Wang Kai Ding Dan Wang Bisheng Yang

The spatial interpolation of property fields in 3D, such as the temperature, salinity, and organic content of ocean water, is an active area of research in the applied geosciences. Conventional interpolation methods have not adequately addressed anisotropy in these data. Thus, in our research we considered two interpolation methods based on a triangular prism volume element, as a triangular pri...

2009
Pascal Koiran

A polynomial identity testing algorithm must determine whether a given input polynomial is identically equal to 0. We give a deterministic black-box identity testing algorithm for univariate polynomials of the form Pt j=0 cjX αj (a+ bX)j . From our algorithm we derive an exponential lower bound for representations of polynomials such as

2014
Concepción Crespo-Turrado María del Carmen Meizoso-López Fernando Sánchez Lasheras Benigno Antonio Rodríguez-Gómez José Luís Calvo-Rolle Francisco Javier de Cos Juez

Global solar broadband irradiance on a planar surface is measured at weather stations by pyranometers. In the case of the present research, solar radiation values from nine meteorological stations of the MeteoGalicia real-time observational network, captured and stored every ten minutes, are considered. In this kind of record, the lack of data and/or the presence of wrong values adversely affec...

2016
Lixin Li Xiaolu Zhou Marc Kalo Reinhard Piltner

Appropriate spatiotemporal interpolation is critical to the assessment of relationships between environmental exposures and health outcomes. A powerful assessment of human exposure to environmental agents would incorporate spatial and temporal dimensions simultaneously. This paper compares shape function (SF)-based and inverse distance weighting (IDW)-based spatiotemporal interpolation methods ...

Journal: :Journal of Statistical Computation and Simulation 2022

Efficient Bayesian inference remains a computational challenge in hierarchical models. Simulation-based approaches such as Markov Chain Monte Carlo methods are still popular but have large cost. When dealing with the class of Latent Gaussian Models, INLA methodology embedded R-INLA software provides accurate by computing deterministic mixture representation to approximate joint posterior, from ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید