This paper is meant to be an introduction to the study of numerical analysis. We explore a sampling of numerical techniques used to address several elementary, yet fundamental queries, such as finding roots to continuous real-valued functions and solving linear systems of the form Ax = b. We approach these problems from a numerical perspective, describing the algorithms we use.

mycoplasma gallisepticum is the most important and infectious mycoplasmosis. it is caused lots of economic losses for poultry's industry of iran. the target of this study is comparison of culture and nested pcr techniques to detect mycoplasma gallisepticum infection of chicken’s from industrial farms in kerman province of iran. 88 isolates received from industrial farms of kerman province of ir...

Exoplanet observations are currently analysed with Bayesian retrieval techniques. Due to the computational load of models used, a compromise is needed between model complexity and computing time. Analysis data from future facilities, will need more complex which increase retrievals, prompting search for faster approach interpreting exoplanet observations. Our goal compare machine learning retri...

Since the 1920s, population geneticists have had measures that describe how genetic variation is distributed spatially within a species' geographical range. Modern genetic survey techniques frequently yield information on the evolutionary relationships among the alleles or haplotypes as well as information on allele frequencies and their spatial distributions. This evolutionary information is o...

This paper proposes a novel model estimationmethod, which uses nested Gibbs sampling to develop amixture-of-mixture model to represent the distribution of the model’s components with a mixture model. This model is suitable for analyzing multilevel data comprising frame-wise observations, such as videos and acoustic signals, which are composed of frame-wise observations. Deterministic procedures...

This paper proposes a novel model estimationmethod, which uses nested Gibbs sampling to develop amixture-of-mixture model to represent the distribution of the model’s components with a mixture model. This model is suitable for analyzing multilevel data comprising frame-wise observations, such as videos and acoustic signals, which are composed of frame-wise observations. Deterministic procedures...

Background: Up to one third of early stage prostate cancer patients who underwent radical prostatectomy experienced disease progression. Different controls sampling methods applied in nested case-control studies, which searched for biomarkers that provide prognostic information and help understand disease progression mechanisms, have been adopted by researchers in different studies. Aims: Throu...

Nested species subsets are a common pattern in many types of communities found in insular or fragmented habitats. Nestedness occurs in some communities of ectoparasites of fish, as does the exact opposite departure from random assembly, anti-nestedness. Here, we looked for nested and anti-nested patterns in the species composition of communities of internal parasites of 23 fish populations from...

The current tools used for approximating cosmological parameters are Markov Chain Monte Carlo (MCMC) utilities using Metropolis-Hastings and Nested Sampling as the main sampling methods. These tend to have low sampling efficiency as many samples are wasted in trying to find good proposals of points at high regions of likelihood. In the data-rich era in which cosmology is entering, imaging the e...