Interior point approach to postoptimal analysis of the assignment problem / (Record no. 181)

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fixed length control field 02235nam a2200241 4500
001 - CONTROL NUMBER
control field UPMIN-00000009107
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230209140838.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230209b |||||||| |||| 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 2003
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 R59
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rivera, Lorelyn R.
9 (RLIN) 2280
245 00 - TITLE STATEMENT
Title Interior point approach to postoptimal analysis of the assignment problem /
Statement of responsibility, etc. Lorelyn R. Rivera
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2003
300 ## - PHYSICAL DESCRIPTION
Extent 39 leaves
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2003
520 3# - SUMMARY, ETC.
Summary, etc. The assignment problem (AP) is a special case of linear programming with high degree of degeneracy, which can complicate postoptimal (sensitivity) analysis. The interior point method (IPM), in contrast, is not affected by degeneracy. Thus, this study proposed to use the IPM approach in doing sensitivity analysis on Aps. The method comprises the following: (1) formulating the cost-parameterized AP and solving it using the IPM; (2) obtaining the optimal partition from the generated interior solutions; and (3) determining the linearity interval of each perturbation parameters cijs and their corresponding shadow costs. The parametrized AP involves adding cij to one of the cost-coefficients in the objective function. When the AP is solved with IPM, it gives the resulting optimal partition, = (B,N), where B is the set of all optimal assignments (I,j)s; while those belonging in N are not. The associated cij of (i, j) N is a non-transition point with linear interval [LB, ), where LB is obtained by minimizing {cij : ABTy = cb + c(ej)B, AnTy cn + c(ej)N}. its left-side and right-side slopes are all equal to 0. If (i, j) B, a transition point cij has a linearity interval [0,0] and left-side and right-side slopes equal to 1 and 0 respectively. A non-transition point cij has slopes all equal to 1 with linearity interval [-cij UB], where UB is obtained by maximizing {cij : ABTy = CB + c(ej)B, ANTy cN + c(ej)N}. The sensitivity analysis done with IPM approach is indeed the most effective and efficient way for APs.
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 Koha item type
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2003-06-05 donation UAR-T-gd267   LG993.5 2003 A64 R59 3UPML00020903 2022-09-21 2022-09-21 Thesis
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2003-05-21 donation CSM-T-gd516   LG993.5 2003 A64 R59 3UPML00010400 2022-09-21 2022-09-21 Thesis
 
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