GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].
標簽： optimization semidefinite programming GloptiPoly
上傳時間： 2016-06-05
上傳用戶：lgnf
Computes approximate significance points of a Pearson curve with given first four moments, or first three moments and left or right boundary
標簽： first significance approximate Computes
上傳時間： 2014-06-29
上傳用戶：silenthink
Generalized Method of moments(GMM) 廣義矩方法，是用來估計模型參數的計量經濟學過程。具體說明見其中的gmmdoc.pdf。
標簽： Generalized moments Method GMM
上傳時間： 2013-12-03
上傳用戶：jhksyghr
to find stastical moments
上傳時間： 2014-01-12
上傳用戶：ANRAN
A set of functions to calculate Hu s seven invariant moments. Good accuracy. Written for my Project work
標簽： functions calculate invariant accuracy
上傳時間： 2017-05-02
上傳用戶：yangbo69
使用INTEL矢量統計類庫的程序,包括以下功能: Raw and central moments up to 4th order Kurtosis and Skewness Variation Coefficient Quantiles and Order Statistics Minimum and Maximum Variance-Covariance/Correlation matrix Pooled/Group Variance-Covariance/Correlation Matrix and Mean Partial Variance-Covariance/Correlation matrix Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers
標簽： 61623 and Kurtosis central
上傳時間： 2017-05-14
上傳用戶：yzy6007
Hu s Invariant moments, easy to undersy\tand
標簽： Invariant moments undersy easy
上傳時間： 2017-05-20
上傳用戶：stvnash
Affine moments- A new for character recognition
標簽： recognition character moments Affine
上傳時間： 2014-01-10
上傳用戶：heart520beat
Affine Invariant moments
上傳時間： 2017-05-20
上傳用戶：417313137
Affine Invariant moments using Graph method
標簽： Invariant moments Affine method
上傳時間： 2017-05-20
上傳用戶：ippler8
