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Solving large-scale linear programs by interior-point methods under the Matlab environment. (English) Zbl 0916.90208
Summary: We describe our implementation of a primal-dual infeasible-interior-point algorithm for large-scale linear programming under the MATLAB environment. The resulting software is called LIPSOL – Linear-programming Interior-Point SOLvers. LIPSOL is designed to take the advantages of MATLAB’s sparse-matrix functions and external interface facilities, and of existing Fortran sparse Cholesky codes. Under the MATLAB environment, LIPSOL inherits a high degree of simplicity and versatility in comparison to its counterparts in Fortran or C language. More importantly, our extensive computational results demonstrate that LIPSOL also attains an impressive performance comparable with that of efficient Fortran or C codes in solving large-scale problems. In addition, we discuss in detail a technique for overcoming numerical instability in Cholesky factorization at the end-stage of iterations in interior-point algorithms.

90C05 Linear programming
90C06 Large-scale problems in mathematical programming
LIPSOL; Matlab
Full Text: DOI
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