Galat A
Department of Pharmacology, Harvard Medical School, Boston, MA 02115.
Comput Appl Biosci. 1986 Sep;2(3):201-5. doi: 10.1093/bioinformatics/2.3.201.
Marquardt and Powell optimization methods without constraints on the optimized spectral parameters were employed for decomposition of complex i.r., c.d. and absorption spectra into component bands. The procedure resolved experimental spectra into eight component bands and it can be easily adjusted for a larger set of component bands. The CPU time required for achievement of satisfactory convergence of parameters for eight component bands is rather large even when using mainframe computers and therefore division of spectra into a few non-overlapped parts is advisable. The program also can be used for calculation of absorption, c.d. and difference spectra from formatted raw spectral data.
在对优化光谱参数无约束的情况下,采用马夸特和鲍威尔优化方法将复杂的红外光谱、圆二色光谱和吸收光谱分解为组分谱带。该程序将实验光谱分解为八个组分谱带,并且可以很容易地针对更多组分谱带进行调整。即使使用大型计算机,实现八个组分谱带参数的满意收敛所需的中央处理器时间也相当长,因此建议将光谱划分为几个不重叠的部分。该程序还可用于根据格式化的原始光谱数据计算吸收光谱、圆二色光谱和差示光谱。