Name
Title | ||
|---|---|---|
New method for determining search directions for interior-point algorithms in linear optimization. |
Abstract | ||
|---|---|---|
We introduce an interior-point algorithm for linear optimization, which is based on a new technique for determining search directions. This method consists of a new type of transformation on the centering equations of the system which characterizes the central path. It can be shown that these new directions cannot be derived from usual kernel functions. Therefore, we extend the concept of the kernel functions, and we establish an equivalence between this approach and the proposed method for obtaining search directions. Moreover, we prove the polynomial complexity of the algorithm. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11590-017-1171-4 | Optimization Letters |
Keywords | Field | DocType |
Interior-point algorithm, Linear optimization, Algebraic equivalent transformation, Search direction, Newton’s method, Polynomial complexity | Mathematical optimization,Algorithm,Equivalence (measure theory),Linear programming,Polynomial complexity,Interior point method,Mathematics,Kernel (statistics),Newton's method | Journal |
Volume | Issue | ISSN |
12 | 5 | 1862-4472 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zs. Darvay | 1 | 6 | 4.20 |
| Petra-Renáta Takács | 2 | 5 | 1.13 |