C#矩阵类的实现及其在测量平差中的应用

Realization of matrix class based on C# and its application in survey adjustment

为了简化测量平差程序,优化矩阵在平差程序中的应用,采用面向对象C#语言编写了矩阵类.测量平差的数学模型具有某些共性,首先将这些共性归纳提取出来;然后按照字段、属性和方法对这些共性进行分类、设计;最后利用C#语言强大的类库支持实现程序化并最终封装成一个矩阵类,不同的平差方法可从这一矩阵类进行继承和扩展.用实例对该矩阵类进行了验证,结果表明:C#矩阵类使各种平差模型程序化实现变得更加简易、高效,节省了平差处理的时间,提高了计算结果的正确性.另一方面,程序代码的共享和扩展也更加方便,对其他涉及矩阵运算的领域和行业有借鉴和实用价值.

In order to simplify the procedure of the survey adjustment and optimize the application of matrix in adjustment procedure, the matrix class based on C# is programmed. The mathematical model of survey adjustment has some commonalities. First, these similarities are generated and ex-