逆算子的英文

• inverse operator

• "逆"英文翻译    contrary; counter
• "算子"英文翻译    operator
• "逆算子, 反算子" 英文翻译 :    inverse operator
• "可逆算子" 英文翻译 :    invertible operator
• "伪逆算子" 英文翻译 :    pseudoinverse operator
• "右逆算子" 英文翻译 :    right inverse operator
• "左逆算子" 英文翻译 :    left inverse operator
• "逆算法" 英文翻译 :    backflush
• "算子" 英文翻译 :    operator 微分算子 differential operator
• "canny算子" 英文翻译 :    canny edge detector
• "householder算子" 英文翻译 :    householder transformation
• "sobel算子" 英文翻译 :    sobel operator
• "Μ算子" 英文翻译 :    Μ operator
• "伴算子" 英文翻译 :    adjoint operator
• "闭算子" 英文翻译 :    [数学] closed operator
• "波算子" 英文翻译 :    [数学] wave operator
• "卜算子" 英文翻译 :    song of divination
• "反算子" 英文翻译 :    inverse operator
• "复算子" 英文翻译 :    complex operator
• "负算子" 英文翻译 :    negative operator
• "核算子" 英文翻译 :    nuclear operator
• "或算子" 英文翻译 :    or-operator
• "角算子" 英文翻译 :    angular operator
• "紧算子" 英文翻译 :    kompakter operator compact operator
• "面算子" 英文翻译 :    face operator

• Reflexive generalized inverse operator of hilbert space
  空间的自反广义逆算子
• In the last part we discuss the relationship between the generalized inverse of an operator and mbekhta ' s subspaces and thet between ci operators and the generalized inverse of an operator . the main results are expressed bellow
  第四节主要讨论了广义逆算子与ci算子和m6ekhta子空间的关系。主要内容是： 1已知aen 。 b当下列条件之一成立时， ab是ci算子
• We study the spectral theory of bounded linear operators and the characterization of ci operators by way of mbekhta ' s subspaces . we find a series of operators which are ci operators by the defination and the characterization of ci operators given by weibang gong in [ 3 ]
  利用mbekhta子空间研究一般有界线性算子的谱理论以及描述ci算子的特征；用ci算子的定义和判定方法寻找更广泛的ci算子；同时还讨论了广义逆算子和ci算子及mbekhta子空间的关系。
• It has been deduced that the search direction remains the same but that the step length decreases in optimizing the improved cost function with the conjugate gradient algorithm from the gradient of the cost function that the fir filter apporaches the contrary point spread function ( psf ) more , and that the estimated image is closer to the original one
  从代价函数的梯度入手推导出共轭梯度算法，其搜索方向保持不变而搜索步长变小，使滤波系数更加退近于点扩展函数逆算子，从而使估计图像与原始图像更加接近。