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Description: 文献1的仿真程序
solves the linear least squares problem with nonnegative variables =
using the newton s algorithm in [1].
[1] Portugal, Judice and Vicente, A comparison of block pivoting and
％ interior point algorithms for linear least squares problems with
％ nonnegative variables, Mathematics of Computation, 63(1994), pp. =
625-643-literature of a simulation program solves the linear least squares p roblem with nonnegative variables using the n = ewton's algorithm in [1]. [1] Portugal. Judice and Vicente. A comparison of block pivoting and interior% po int algorithms for linear least squares proble ms% with nonnegative variables, Mathematics of Computation, 63 (1994), pp. = 625-643
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Author: 刘美 |
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Description: 可用于求解超大规模线性方程组非负解的MATLAB函数-Given a tall full-rank matrix A, solves the nonnegative least squares
problem: min ||Ax-b|| s.t. x>= 0 and returns the minimizer x. The
argument err is the tolerance used in testing for zeros
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