The function The LMFnlsq.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago (see the Reference). This version of LMFnlsq is its complete MATLAB implementation complemented by setting parameters of iterations as options. This part of the code has been strongly influenced by Duane Hanselman's function mmfsolve.m. Calling of the function is rather simple and is one of the following: LMFnlsq % for help output x = LMFnlsq(Eqns,X0); x = LMFnlsq(Eqns,X0); x = LMFnlsq(Eqns,X0); x = LMFnlsq(Eqns,X0,'Name',Value,.

• Platform: Matlab, Scripts
• Publisher: Miroslav Balda
• Date: 05-06-2013
• Size: 870 KB

For a system having multiple inputs x and outputs y, the partial coherence is the coherence computed between any individual input and the output when the effect of all other inputs is removed from the output by a linear least squares prediction. This coherence obeys the usual inequality, and will reveal the existence of a linear relationship between a particular residual input and the output even when the relationship is not apparent from the ordinary coherence function.

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that a) global convergence is assured b) a solution is found even for a vertical line. The complete uncertainty matrix (i.e. variances AND covariance of the fitting parameters) is determined. For non-vertical straight lines the usual parameters (slope/y-axis intersect.

• Platform: Matlab, Scripts
• Publisher: Mathias Anton
• Date: 13-02-2013
• Size: 10 KB
• nnls

solves the linear least squares problem with nonnegative variables using the block principal pivoting algorithm in: Portugal, Judice and Vicente, A comparison of block pivoting and interior point algorithms for linear least squares problems with nonnegative variables, Mathematics of Computation, 63(1994), pp. 625-643.

• Platform: Matlab, Scripts
• Publisher: Uriel Roque
• Date: 19-04-2013
• Size: 10 KB

M-files for unimodality (or monotonically) constrained least squares regression..

• Platform: Matlab, Scripts
• Publisher: Rasmus Bro
• Date: 09-03-2013
• Size: 10 KB

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that a) global convergence is assured b) a solution is found even for a vertical line. The complete uncertainty matrix (i.e. variances AND covariance of the fitting parameters) is determined. For non-vertical straight lines the usual parameters (slope/y-axis intersect.

• Platform: Matlab, Scripts
• Publisher: Mathias Anton
• Date: 01-01-2013
• Size: 10 KB

We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package 'requireFEXpackage' included in TLS package.

• Platform: Matlab, Scripts
• Publisher: Ivo Petras
• Date: 09-04-2013
• Size: 10 KB
• dmgps

The design matrix of a GPS network is established for any kind of least squares adjustment, namely; -free (trace minimum), -minimum constrained, -over-determined. The user can adapt easily dmgps to the adjustment problem of a GPS network whose baselines are taken as observations. Moreover, it can be used for optimization of GPS networks..

ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0 function f = OrthLLS2D(x, y) Inputs x and y must be real vectors of equal size. Output f is the real vector [a b c] where a, b and c are the estimated parameters of the linear equation. Since a more general function called LINORTFITN has already been submitted to File Exchange (ID number: 16800) in October 2007 by Mr. F. Carr, my file is supposed to be used as a brief introduction to the analytical problem in an extremely simple case.

• Platform: Matlab, Scripts
• Publisher: Francesco Pozzi
• Date: 12-06-2013
• Size: 10 KB

This function calculates the minimum-norm solution of the least squares problem A*X = B. Where A is low-rank matrix. The function LSMIN is faster then the matlab alternative X = pinv(A)*B. Uses the LAPACK functions (S,C,D,Z)EGLSS or (S,C,D,Z)EGLSD..

• Platform: Matlab, Scripts
• Publisher: Ivo Houtzager
• Date: 12-01-2013
• Size: 10 KB

Demonstration of least squares data fitting using both inverse and backslash operators. This example was developed for use in teaching modeling, simulation, and optimization in graduate engineering courses. A corresponding video is available at:.

• Platform: Matlab, Scripts
• Publisher: James Allison
• Date: 26-06-2013
• Size: 10 KB

Assume you have a chocolate bar consisting, as usual, of a number of squares arranged in a rectangular pattern. Your task is to split the bar into small squares (always breaking along the lines between the squares) with a minimum number of breaks. How many will it take?.

• Platform: Matlab, Scripts
• Publisher: Krishna Lalith
• Date: 22-06-2013
• Size: 20 KB

Concentration-type game; 54 gray squares. Click a pair of squares and try to match the colors hidden beneath. Find all 27 color pairs in as few moves as possible; MATLAB returns a rating based on the number of moves it took to complete the screen..

• Platform: Matlab, Scripts
• Publisher: Karen Christensen
• Date: 16-02-2013
• Size: 31 KB

Game of Dots and Squares, where players attempt to close as many squares as possible. The one with the most squares win! The game runs in Java.
Dots and Squares Game License - GNU General Public License (GPL).

a meta squares like game (classic puzzle game lost to me long ago) created in xna.meta squares was an old puzzle game available online (similar to the PnP game S.O.S). this will be a "clone" of the game, complete with a simplistic AI.
XNA Squares License - GNU General Public License (GPL).

Contouring Scalar Data was developed as an easy-to-use and handy application that manages to illustrate the Marching Squares algorithm.

The right click context menu lets you use the right arrow to step through the marching squares algorithm.

Contouring Scalar Data was developed with the help of the Java programming language.

.

Social Squares v1.0 * Winner Microsoft Build 2012 Hackaton

Turn your social network into a fast and fun game with Social Squares. This Hollywood Squares style game test how well you really know your friends by bringing together your friends Facebook data.

On initial launch of the game the player is asked to login using their Facebook account. Once this login succeeds their friend*s data is pulled down to the phone to be used in game play. The app allows the player to refresh the data from time to time.

• Platform: Windows
• Publisher: gjsalot
• Date:
• Size: 9216 KB

Dot Squares is good old-fashioned fun in a new digital package. Based on the classic pencil and paper game known as Dots and Boxes, Dots and Dashes, Dots, Squares, Square-it, or Pigs in a Pen, this two-player strategy game can be played with a friend, or you can try to beat the phone. The game board is a grid of dots. Players take turns drawing one line that connects two neighboring dots. Drawing the fourth side of a 1x1 square wins that square and wins another turn. When all the dots are connected, the player with the most squares wins the game.

• Platform: Windows
• Publisher: Nancy Brown
• Date:
• Size: 1024 KB

Turn your movie knowledge into a fast and fun game with Movie Squares. This Hollywood Squares style game tests how well you really know your movie trivia.

There are three difficulty levels to choose from. Each difficulty level provides a different number of answers to choose from. You will receive points for each correct answer plus bonus points for 3 in a row. The difficulty level will also determine the score and bonus multiplier.

Track your high scores and even share your results with your friends!

If you start a game and don't like the movies on the board, give your device a shake (or tap the host).

Rid the world of angryness!
Kill all the angry squares in the world in a variety of different scenarios each with their own physics rules:

City, Rural, Ocean, Space, Vulcano, Windy Sky, Icy Mountain and Jungle

.

• Platform: Windows
• Publisher: DCameirinha
• Date:
• Size: 1024 KB
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