Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/588234
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dc.coverage.spatial
dc.date.accessioned2024-09-09T11:03:40Z-
dc.date.available2024-09-09T11:03:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/588234-
dc.description.abstractIn applied mathematics, interpolation by polynomials is rather an old technique. The newlineapproach of fractal interpolation gives a new direction to demonstrate the smooth and nonsmooth bodies. Over the past three decades, theory of fractal interpolation has been one of the newlinedominant research matters among fractal group. It is a modern method to analyze the newlinescientific data. Traditional interpolation schemes have great limitations for irregular shape newlinekind of data. So, for this we describe the irregular shapes by using the fractal interpolation newlineschemes. The unsmooth items such as clouds, coastlines, woodland skyline etc are newlinerepresented by the fractal interpolation functions. Fractal interpolation is one of the newlineapplication parts of the IFS theory which is a generalization of classical interpolation that is newlineused as a new approach to represent complex phenomena and is used in many fields like newlinecomputer graphics, astrophysics, medical, biological sciences, image compression, signal newlineprocessing, data analysis, financial series, complex dynamics, telecommunication, and pattern newlinerecognition. In the application part of computer graphics, this method provides an option for newlinecatching the data in self-similarity designs at any dimension of magnification. The majority newlineuse of fractals in computer science is the fractal image compression. Fractal image newlinecompression gives more compression ratio than usual schemes (e.g. JPEG or GIF file newlineformats). In telecommunication, fractal antennae reduce greatly the size and weight of the newlineantennae. In physics, fractals are used to describe the roughness of surfaces. This thesis newlineentitled with A contribution to fractal interpolation techniques and their properties . In newline
dc.format.extentviii, 137p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Contribution to Fractal Interpolation Techniques and their Properties
dc.title.alternative
dc.creator.researcherSneha
dc.subject.keywordMathematics
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideKatiyal, Kuldeep
dc.publisher.placeMohali
dc.publisher.universityChandigarh University
dc.publisher.institutionDepartment of Mathematics
dc.date.registered2019
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions28cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mathematics

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01_title.pdfAttached File111.84 kBAdobe PDFView/Open
02_prelim pages.pdf596.14 kBAdobe PDFView/Open
03_content.pdf111.62 kBAdobe PDFView/Open
04_abstract.pdf85.26 kBAdobe PDFView/Open
05_chapter 1.pdf611.5 kBAdobe PDFView/Open
06_chapter 2.pdf231.12 kBAdobe PDFView/Open
07_chapter 3.pdf340.17 kBAdobe PDFView/Open
08_chapter 4.pdf467.2 kBAdobe PDFView/Open
09_chapter 5.pdf477.29 kBAdobe PDFView/Open
10_chapter 6.pdf836.33 kBAdobe PDFView/Open
11_chapter 7.pdf118.38 kBAdobe PDFView/Open
12_chapter 8.pdf85.36 kBAdobe PDFView/Open
13_annexures.pdf592.65 kBAdobe PDFView/Open
80_recommendation.pdf184.29 kBAdobe PDFView/Open


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