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[LabView] 2005---A-Minimal-Solution-for-Relative-Pose-with- DL : 0: A Minimal Solution for Relative Pose with Unknown Focal Length - vf-1.1
Date : 2025-12-29 Size : 23kb User : mutunake
[LabView] min DL : 0: 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。-Least squares method (also known as the least squares method) is a mathematical optimization techniques. It matched by squaring and finding data to minimize the error of the best functions. Least squares method can be easily calculated unknown data, and make the square error between the actual data and the data obtained and the minimum. Least squares method can be used for curve fitting. Some other optimization problems can be expressed using the method of least squares by minimizing energy or maximizing entropy.
Date : 2025-12-29 Size : 14kb User : fh
[LabView] cwf DL : 0: 微分方程，有时简称为方程，未知函数是一元函数的微分方程称作常微分方程，未知数是多元函数的微分方程称作偏微分方程。微分方程中出现的未知函数最高阶导数的阶数，称为微分方程的阶。-Differential equations, sometimes referred to as the equation, the unknown function is called Differential DOLLAR FUNCTION ordinary differential equations, differential equations is unknown multivariate function is called partial differential equations. Order differential equations appearing in the highest order derivative of the unknown function, called differential equations.
Date : 2025-12-29 Size : 15kb User : fh