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計(jì)算電磁學(xué)的３維變分標(biāo)量有限元方法程序。EMAP1 employs a variational Formulation。
標(biāo)簽： variational Formulation employs EMAP1
上傳時(shí)間： 2013-12-13
上傳用戶：hanli8870
A Parametric Formulation of the Generalized Spectral Subtraction Method
標(biāo)簽： Formulation Generalized Subtraction Parametric
上傳時(shí)間： 2013-12-19
上傳用戶：gxmm
Easily editable files to simulate three MIMO predictive control algorithms. These files are intended as a support to this book to enable students to investigate predictive control algorithms from the Formulation of the prediction equations right through to the closed-loop simulation.
標(biāo)簽： files algorithms predictive editable
上傳時(shí)間： 2015-11-09
上傳用戶：sevenbestfei
LSVMK Langrangian Support Vector Machine algorithm LSVMK solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian Formulation.
標(biāo)簽： LSVMK Langrangian algorithm Support
上傳時(shí)間： 2016-04-28
上傳用戶：tfyt
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(biāo)簽： optimization semidefinite programming GloptiPoly
上傳時(shí)間： 2016-06-05
上傳用戶：lgnf
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood Formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
標(biāo)簽： equivalent likelihood algorithm Sejnowski
上傳時(shí)間： 2016-09-17
上傳用戶：Altman
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem Formulation is representation independent, we use input/state/output representations of the system in order
標(biāo)簽： identification considered features separati
上傳時(shí)間： 2016-09-20
上傳用戶：FreeSky
非線性有限元程序，NONSAP is a general finite element program for the nonlinear static and dynamic analysis of complex structures. The program is very flexible and was designed to be extended and modified by the user. In particular the program can easily be modified to use a different Formulation of the equations of motions, different time integration operators and other additional options.
上傳時(shí)間： 2016-11-12
上傳用戶：hopy
Matlab script for solution to the driven cavity problem on a staggered grid using a divergence Formulation and second-order Runge-Kutta time integration.
標(biāo)簽： divergence staggered solution problem
上傳時(shí)間： 2017-05-14
上傳用戶：lingzhichao
水平集代碼及文章（李春明）：Level Set Evolution Without Re-initialization: A New Variational Formulation
標(biāo)簽： 水平集代碼及文章（李春明）
上傳時(shí)間： 2015-03-16
上傳用戶：FQ967
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