Piecewise interpolation methods for equally spaced data points with observational errors / (Record no. 313)

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fixed length control field 01927nam a2200241 4500
001 - CONTROL NUMBER
control field UPMIN-00000009285
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230213135022.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230213b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency UPMin
Modifying agency upmin
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2004
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 Y34
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yadao, Karla Jean D.
9 (RLIN) 2449
245 00 - TITLE STATEMENT
Title Piecewise interpolation methods for equally spaced data points with observational errors /
Statement of responsibility, etc. Karla Jean D. Yadao
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2004
300 ## - PHYSICAL DESCRIPTION
Extent 80 leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2004
520 3# - SUMMARY, ETC.
Summary, etc. Experimental data came in discrete form in real world situations. These points may be interpolated to approximate the function. However, observational errors are always associated with experimental data. This study compared the performances of four piecewise interpolation methods, namely, piecewise linear, piecewise quadratic, a modified piecewise cubic polynomial and cubic spline in interpolating data points with random errors on four selected test functions. Random errors were generated based on two distribution functions (i.e. Gaussian distribution with parameters and and uniform distribution with range [a, b]). Piecewise linear performed best over the other hand, piecewise quadratic interpolation is better on small values of and smaller ranges. On oscillatory type of function, cubic spline performed best on small values of and smaller ranges. Moreover, the modified cubic polynomial performed best on very small values of and ranges used in generating random errors. As an illustration, the recommended method was applied to the data of monthly solid waste disposal of Davao City for CY 1996-2002 based solely on the collection of City Environment and Natural Resources Office (CENRO).
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis
Curriculum code AMAT200,
Source of term or code BSAM
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a Fi
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
a UP
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Price effective from
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2004-05-14 donation UAR-T-gd345   LG993.5 2004 A64 Y34 3UPML00020765 2022-09-21 2022-09-21
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2004-05-14 donation CSM-T-gd999   LG993.5 2004 A64 Y34 3UPML00011090 2022-09-21 2022-09-21
 
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