Freeware Downloads for "Minimum Curvature Method"

Related: Method Of Blind - Method Accent - Method Cloze - Bisection Method Vb - Discount Method

The throughflow streamline curvature method is a two-dimensional design program for turbomachinery.
streamline curvature method License - GNU General Public License version 3.0 (GPLv3).

Golden section method - searching for minimum of the function on given interval files: golden.m - main algorithm, computing minimum on interval f.m - given function - file to modify by the user!.

The implemented methods are: 1) 'normal', 'standard': rgb2gray of Matlab; ITU-R Recommendation BT.601. 2) 'avg', 'average': the output is the average of all three channels. 3) 'minavg', 'min_avg', 'min_average', 'minimum_average': The minimum-average method introduced in [1] for document image processing. it has less color dependency. [1] R. Farrahi Moghaddam and M. Cheriet, A multi-scale framework for adaptive binarization of degraded document images, Pattern Recognition, 43, pp. 2186--2198, 2010, DOI: 10.

This is a simple method to convert Single-Phase to Three-Phase with minimum number of switches for low power applications. Check the output currents and voltages. Reference title is included in this submission.

  • Platform: Matlab, Scripts
  • Publisher: Naveen Kumar
  • Date: 02-01-2013
  • Size: 10 KB

It's a function that finds the minimum value of a two variables objective function with a deterministic zero order algorithm: simplex method. The input variables are: -fun: inline function of the objective function -init_point: initial point for the simplex method -step_size: initial dimension of the simplex toll: tolerance for the stop criterion on the simplex dimension -numMaxIter: stop criterion on the maximum number of iterations The output variables are: -valFunc: the minumum value of the objective function -var_min: the minimum point -iter: the number of iteration made %%%%%%%% IMPORTANT %%%%%%%%%%% To run correctly the Matlab function, you must run first a contour plot of the objective function.

  • Platform: Matlab, Scripts
  • Publisher: Andrea Cirillo
  • Date: 03-04-2013
  • Size: 10 KB

This is the iterative 2D Minimum Entropy Deconvolution implemented according to an iterative method in the original paper: R.A. Wiggins, Minimum Entropy Deconvolution, Geoexploration, vol. 16, Elsevier Scientific Publishing, Amsterdam, 1978. pp. 21 35. This also works applying the 1D MED when supplied just a single row/column 'x' input. This technique has wide-ranging applications ranging from fault detection to geophysics. It generates a single 1d finite impulse response filter to minimize the entropy of each column filtered by the filter, and is typically applied to extract impulse-like features from signals.

  • Platform: Matlab, Scripts
  • Publisher: Geoff McDonald
  • Date: 08-06-2013
  • Size: 10 KB

An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results..

Current direct sequence code division multiple access (DS-CDMA) system suffer from Multiple access interference (MAI) and Inter symbol interference (ISI) due to the frequency selective channel. This interference can be avoided by use of Adaptive Beamforming. There are two different minimum variance Beamformer configurations for the base station receiver in direct sequence code division access (DS-CDMA) systems, namely a chip- based and a symbol-based configuration. In this paper chip- based and symbol- based configurations are studied.

PITAN(NUM,DEN,W) plots the stability boundary locus L(KP,KI,W) in the (KP,KI)-plane for an LTI system with transfer function defined by its NUM, DEN coefficients and driven by a PI controller with transfer function, C(s)=kp+(ki/s). Frequency (W) gridding become important. The method works for open loop stable or unstable, minimum or nonminimum phase systems. Method and examples used are form "Computation of Stabilizing PI and PID Controllers" by Nusret Tan, Ibrahim Kaya and Dereck P. Atherton..

  • Platform: Matlab, Scripts
  • Publisher: Petros Kominos
  • Date: 27-03-2013
  • Size: 10 KB

This is the fastest (though not most accurate) method of fitting a circlle to data points on a plane (given by their xy-coordinates). It returns the circle center (a,b) and radius R. It was proposed by I. Kasa in article "A curve fitting procedure and its error analysis", IEEE Trans. Inst. Meas., Vol. 25, pages 8-14, (1976). Another version of this circle fit has been posted by Izhak Bucher (file 5557)..

  • Platform: Matlab, Scripts
  • Publisher: Nikolai Chernov
  • Date: 05-03-2013
  • Size: 10 KB

Numerical integration with Monte Carlo method (on FPGA chip). Requirements: - Matlab/Simulink - Diamond IDE (3L) - FPGA Xilinx VIrtex II (SMT8036E) http://www.sundance.com/web/files/static.asp?pagename=uni_offer_1) - Visual Studio (Optional) - Xilinx System Generator (Recommended) - Xilinx ISE (Recommended).

  • Platform: Matlab, Scripts
  • Publisher: Francesco Pizzo
  • Date: 22-01-2013
  • Size: 21064 KB

This script is capable of solving a convex quadratic programming problem by Wolf's method. For the convergence of the algorithm it is necessary that either Hessian of the objective function be positive definite or positive semidefinite Hessian with linear term zero. For theory of Wolf method and QPP one may see "Numerical Optimization with Applications, Chandra S., Jayadeva, Mehra A., Alpha Science Internatinal Ltd, 2009.".

  • Platform: Matlab, Scripts
  • Publisher: Bapi Chatterjee
  • Date: 11-06-2013
  • Size: 10 KB

It's a deterministic iterative zero order algorithm that can be used to solve unconstrained optimization problem. It finds the relative minimum of a two variables function with a deterministic iterative zero order algorithm. Pattern search method It finds the relative minimum of a two variables function with the Pattern search method. The inputs are: - f: matlab inline function of the function that you want minimize; - p0: initial point for the search algorithm - step_size: initial step used for the exploration phase - tolerance: it defines a stopping criterion on the minimum size of exploration phase's step_size - N_it: it defines a stopping criterion on the max iterations number The outpus are: - iter: the number of iterations done - min: the function's value in the relative minimum finded.

  • Platform: Matlab, Scripts
  • Publisher: Andrea Cirillo
  • Date: 18-02-2013
  • Size: 10 KB

This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003), whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications. This version uses mutual information as a proxy for computing relevance and redundancy among variables (features). Other variations such as using correlation or F-test or distances can be easily implemented within this framework, too.

  • Platform: Matlab, Scripts
  • Publisher: Hanchuan Peng
  • Date: 19-03-2013
  • Size: 532 KB

This set of simulations make use of the Alternating Direction Implicit method for solving the parabolic wave equation that arises in FD BPM. The zip file includes the following programs: FDBPM3D_free_space.m - Animation and video of the 3D propagation. FDBPM3D_free_space_slice.m - It shows slices of the propagated pulse. FDBPM3D_free_space_volume.m - It displays the laser beam as it would look in free space after a 1500 um propagation..

Mackey-Glass Time Series Forecasting using Wang-Mendel Method.

  • Platform: Matlab, Scripts
  • Publisher: Satvir Singh
  • Date: 21-03-2013
  • Size: 143 KB

PGPI(NUM,DEN,W,FI,A) plots the stability boundary locus L(KP,KI,W)in the (KP,KI)-plane for an LTI system with transfer function defined by its NUM, DEN coefficients and driven by a PI controller with transfer function, C(s)=kp+(ki/s). Frequency (W) gridding becomes important. Phase Margin, FI, and Gain Margin, A, can be defined. The method works for open loop stable or unstable, minimum or nonminimum phase systems. With Examples. Method and examples used are form "Computation of Stabilizing PI and PID Controllers" by Nusret Tan, Ibrahim Kaya and Dereck P.

  • Platform: Matlab, Scripts
  • Publisher: Petros Kominos
  • Date: 07-05-2013
  • Size: 10 KB

SETTPI(NUM,DEN,W,P) plots the stability boundary locus L(KP,KI,W)in the (KP,KI)-plane for an LTI system with transfer function defined by its NUM, DEN coefficients and driven by a PI controller with transfer function, C(s)=kp+(ki/s). Frequency (W) gridding becomes important. For a specific settling time, P, the change in variable s-->s+p is made. The method works for open loop stable or unstable, minimum or nonminimum phase systems. With examples. Method and examples used are form "Computation of Stabilizing PI and PID Controllers" by Nusret Tan, Ibrahim Kaya and Dereck P.

  • Platform: Matlab, Scripts
  • Publisher: Petros Kominos
  • Date: 23-05-2013
  • Size: 10 KB

Designing a Controller and obtaining the Controller Function by rootlocuse method.

  • Platform: Matlab, Scripts
  • Publisher: Ahmad Kolahi
  • Date: 12-01-2013
  • Size: 20 KB

Function to solve the Minimum Perfect Matching on non-biparite graphs problem using Integer linear programming. Returns vector of matched indices and cost of the match. Requires symmetric adjacent matrix of even rank. function [ indices, cost ] = min_perfect_matching( G ) Function _requires_ integer linear programming tool "mixed-integer LP" by Sherif Tawfik, available at: http://www.mathworks.com/matlabcentral/fil...ixed-integer-lp.

  • Platform: Matlab, Scripts
  • Publisher: Vojtech Knyttl
  • Date: 27-05-2013
  • Size: 10 KB

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