Abstract
Studies were carried out on the ascomycetous fungi present in six different but carefully selected sites on the University of Ilorin permanent site soil. Fungi isolation was done by the soil dilution methodincubated at 27oC for 72 hours. The predominant Ascomycetous fungi isolated include among others; Aspergillus niger, Fusarium solani, Fusarium oxysporum, Penicillium italicum, Fusarium acuminatum, Fusarium culmorum, Candida albicans, Botrytis cinerea, Geotrichum candidum, Trichoderma viride, Verticillium lateritum, Curvulariapalescens, Penicillium griseofulvum, Penicillium janthinellum, Penicillium chrysogenum, Aspergillus terreus, Aspergillus flavus, Aspergillus fumigatus, Aspergillus glaucus, Aspergillus clavatus, Cladosporium resinae, Alternaria alternate, Trichothecium roseum, Phialophora fastigiata, Aspergillus nidulans, Aspergillus wentii,Humicola grisea, Trichophyton rubrum, Helminthosporium cynodontis, Penicillium funiculosum, Penicillium purpurogenum, Saccharomyces cerevisiae, Trichoderma harzianum, Scopulariopsis candida.The physicochemical characteristics of soil samples was found to affect the distribution and population of fungi. The colony count in the study are ranged between 5.8 x 10 per gram of soil to 1.63 x 10 per gram of soil. The soil consists of high organic matter content.
Highlights
IntroductionFor example the problem with Gauss elimination approach lies in control of the accumulation of rounding errors Turner, (1989)
The direct methods of solving linear equations are known to have their difficulties
The direct method are generally employed to solve problems of the first category, while the iterative methods to be discussed ion chapter 3 is preferred for problems of the second category
Summary
For example the problem with Gauss elimination approach lies in control of the accumulation of rounding errors Turner, (1989) This has encouraged many authors like Rajase Keran (1992), Fridburd et al (1989), Turner (1994) Hageman et al (1998) and Forsyth et al (1999) to investigate the solutions of linear equations by direct and indirect methods. Systems of linear equations arise in a large number of areas both directly in modeling physical situations and indirectly in the numerical solutions of the other mathematical models. Sparse and perhaps very large:- In contrast to the above a sparse matrix has few non zero elements, very large matrix of order say one thousand Such matrices arise commonly in the numerical solution of partial differential equations. The iterative methods to be discussed in this project are the Jacobi method, Gauss-Seidel, soap
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