Juniors Restaurant Times Square

PSB (Public Square Board) aims to be a highly customizable, user-friendly, fast and reliable discussion board package. It is written in PHP, uses a MySQL database for data storage and is licensed under the GPL.

FASTRMS Instantaneous root-mean-square (RMS) power via convolution.FASTRMS(X), when X is a vector, is the time-varying RMS power of X, computed using a 5-point rectangular window centered at each point in the signal. The output is the same size as X and contains, for each point in X, an estimate...

Simulate a time dependent solution of Schrodinger's equation and calculate energy spectrum of a 1D finite square well using split-operator method.Reference: M. D. Feit, J. A. Fleck, Jr., and A. Steiger, "Solution of the Schrodinger Equation by a Spectral Method", Journal of Computational Physics...


Platforms: Matlab

fitChiSquare is a generalized chi-square fitting routine for any model function when data measurement errors are known; it returns the model parameters and their uncertainties at the delta chi-square = 1 boundary (68% confidence interval). It also returns the chi-square and degrees of freedom...


Platforms: Matlab

After publishing my new block simulink library Function Square,Y output ,and Xput i shoz lineqrity chqnging input vqlue.


Platforms: Matlab

This function compute the individual Voronoi cell area of point sets bounded in an arbitrary square.Inputs:x : M x 1 array of x-coordinatesy : M x 1 array of y-coordinatestoggleplot : 1 to turn on figures, 0 to turn off figures;[x1,x2,y1,y2] : 1 x 4 array of square edgesOutputs:CellArea : M x 1...


Platforms: Matlab

This is the package for online (competitive)/batch prediction using generalized linear models under square loss. The algorithms are derived using the Aggregating Algorithm.The algorithms have guarantees on the cumulative square loss for the worst case when applied in online fashion in comparison...


Platforms: Matlab

Chi-square tests of homogeneity and independence.Computes the P-value for I x J - table row/col independence.Ref.: DeltaProt toolbox at http://services.cbu.uib.no/software/deltaprot/Input:X: data matrix (I x J -table) of the observed frequency cells.method: 'RC': Read-Cressie power divergence...


Platforms: Matlab

CHISQUARECONT takes as input a 2x2 matrix that represents a 2x2 contingency table andcalculates the probability of obtaining the observed and each of the more extreme tablesbased on the pearson chi square test which is based on the chi square distribution. Thechi square test might become...


Platforms: Matlab

CHI2RAYLTEST: Single sample Pearson Chi Square goodness-of-fit statistical test to examine a null hypothesis of Rayleigh Channel.H=CHI2RAYLTEST(X,ALPHA) performs the particular case of Pearson Chi Squaretest to determine whether the null hypothesis of a Rayleigh channel realization is a...


Platforms: Matlab

CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.H=CHI2TEST(X,ALPHA) performs the particular case of Pearson Chi Square test to determine whether the null hypothesis of composite normality PDF is a reasonable assumption regarding the population distribution of a random...


Platforms: Matlab

Least Square method is common curve fitting approch. But for special some function, the tradiational Least Square method is hard to get enough accurancy dueo to gobal approximation. Moving Least Square(MLS) can fit any differentiable function through local approximation.


Platforms: Matlab

parameter 1 is feature value (discrete), parameter 2 is the corresponding labelsthe reference paper is: S. Wu, P. A. Flach, Feature selection with labeled and unlabeled data, available athttp://ai.ijs.si/branax/iddm-2002_proceedings/Wu.pdfrelevant paper is: Technical Note: Bias in...


Platforms: Matlab

Least Square method is common curve fitting approch. But for special some function, the tradiational Least Square method is hard to get enough accurancy dueo to gobal approximation. Moving Least Square(MLS) can fit any differentiable function through local approximation.Here I share MLS2D...


Platforms: Matlab

Moving Least Square(MLS) for 3-dimension Least Square method is common curve fitting approch. But for special some function, the tradiational Least Square method is hard to get enough accurancy dueo to gobal approximation. Moving Least Square(MLS) can fit any differentiable function through local...


Platforms: Matlab

r2 = rsquare(y,f) RSQUARE computes the coefficient of determination (R-square) value from actual data Y and model data F. INPUTS Y : Actual data F : Model fit OUTPUT R2 : Coefficient of determination EXAMPLE x = 0:0.1:10; y = 2.*x + 1 + randn(size(x)); p = polyfit(x,y,1); f = polyval(p,x); r2...


Platforms: Matlab

A widget for displaying prayer times by reading from database.This is a Simple widget that creates following tables if they don't already exist and loads sample data into1) Daily Prayer Table$wpdb->prefix . mh_dpt_daily_times Structure of Table:month int(2) NOT NULL, //values are 01,02...12day...


Platforms: PHP

Eureka's Times Tables is a highly addictive, effective, innovative and entertaining way for children to learn their 1 to 12 times tables. Children are taught each table through interactive 3D game play and spoken drills which helps promote self-learning. The Practice Tables section teaches and...


Platforms: Mac

A fun game where you have arrange numbers in order Square Puzzle is a free and fun Java game where you have to arrange numbers in a specific order. You have to sequence numbers starting from 1 then 2, 3, 4. Next row will start from 5 and so on. You can start with a 4 X 4 square and then grow up...


Platforms: Mac

Extreme Square Drop Deluxe, or ESDD for short, is a game where you remove same-colored adjacent squares from the board to earn points. In summary, this game has a board of randomly generated squares where the goal is to remove groups of like-colored squares to get the most points possible. The...


Platforms: Mac