• 大O表示法复杂度速查表

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  • 共轭梯度法教程

    共轭梯度法教程与PPT,简明易懂。 Conjugate Gradient is an intermediate between steepest descent and Newton’s method. It tries to achieve the quadratic convergence of Newton’s method without incurring the cost of computing Hf.At the same time, Conjugate Gradient will execute at least one gradient descent step per n steps. It has proved to be extremely effective in dealing with general objective functions and is considered among the best general purpose methods presently available.

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  • 数值计算_Applied Numerical Computing

    Prof. L. Vandenberghe, UCLA EE103 - Applied Numerical Computing (Fall 2011-12) 课程主页: http://www.ee.ucla.edu/~vandenbe/ee103.html 优点:该教程浅显易懂,适合初学者。

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