A Composite Algorithm for the Concave Cost Ltl Consolidation Problem
A Composite Algorithm for the Concave Cost Ltl Consolidation Problem
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In our eReader you can find the full English version of the book. Read A Composite Algorithm for the Concave Cost Ltl Consolidation Problem Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book A Composite Algorithm for the Concave Cost Ltl Consolidation Problem
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For our work, we set v. As the length of the shortest path from R R R 0(k) to i on graph G with arc length C + (^jj/'^^jj)- "here R is p the number of cost segments on arc (i. J) and M . = E dj^ . This ■^ k initial choice of multipliers results in a solution to [SP(v)] in which the flow on all arcs is zero, i. E.
f . . = ij Vi, j, k, where f '^ . = E x'^': . The optimal value for [SP(v)] for this ij ^ iJ choice of v is then 35 where v . Is the length of the shortest path from 0(k) to D(k) D ( k... ) using the arc lengths given above.
To improve this initial choice of multipliers, we can use an §§fI§Ql_Br2cedure, the intent of which is to change iteratively the multipliers so that z(v) increases monoton i ca 1 1 y . We can write z ( V ) as z(v) E Z . . (V ' I ^k^D(k) (i, J) where Z|j(v) is the optimal value to [SPij(v)l To increase z(v) we employ an iterative strategy where we adjust v so that z j j ( v ) remains unchanged for all (i, j) and d v, . Increases for some k.
To keep z^j(v) unchanged, we note that [SPjj(v)] depends on k k k the difference v.
What to read after A Composite Algorithm for the Concave Cost Ltl Consolidation Problem?
You can find similar books in the "Read Also" column, or choose other free books by Anantaram Balakrishnan to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
For our work, we set v. As the length of the shortest path from R R R 0(k) to i on graph G with arc length C + (^jj/'^^jj)- "here R is p the number of cost segments on arc (i. J) and M . = E dj^ . This ■^ k initial choice of multipliers results in a solution to [SP(v)] in which the flow on all arcs is zero, i. E.
f . . = ij Vi, j, k, where f '^ . = E x'^': . The optimal value for [SP(v)] for this ij ^ iJ choice of v is then 35 where v . Is the length of the shortest path from 0(k) to D(k) D ( k... ) using the arc lengths given above.
To improve this initial choice of multipliers, we can use an §§fI§Ql_Br2cedure, the intent of which is to change iteratively the multipliers so that z(v) increases monoton i ca 1 1 y . We can write z ( V ) as z(v) E Z . . (V ' I ^k^D(k) (i, J) where Z|j(v) is the optimal value to [SPij(v)l To increase z(v) we employ an iterative strategy where we adjust v so that z j j ( v ) remains unchanged for all (i, j) and d v, . Increases for some k.
To keep z^j(v) unchanged, we note that [SPjj(v)] depends on k k k the difference v.
What to read after A Composite Algorithm for the Concave Cost Ltl Consolidation Problem?
You can find similar books in the "Read Also" column, or choose other free books by Anantaram Balakrishnan to read onlineMoreLess
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