Gram Negative Diplococci

Revised 23rd Feb. 2006.Improved speed, functionality and documentation2-nd Rev, 3rd Apr.2007, back from TVAR to NUM2STRMAXimum points in a curve, ALL(default) or manually positively/negatively selected, with (default) or without parabolic interpolationneeds CLINEDemo uses SAVFILTHELP MAXALL shows...

Usage : r = subfactorial(n) calculates the subfactorial of a non -negative integer (n) using the inclusion-exclusion principle. The subfactorial can be written as, !n = n! sum( (-1)^k / k! ), for k = 0 to n !n : subfactorial(n) n! : factorial(n) = 1*2*3*...*nRemark : This function is limited by...

function [i,i_] = fgridmin(y)% Search an N-dimensional array y for points that may be proximate to a global minimum% of the interpolated array; return the proximate points' N-D subscripts (i) in y. Also% optionally return the subscripts (i_) for discrete local minima in y.%% syntax:% i =...


Platforms: Matlab

[psi gopt] = dfdesign_w(phi, w, d);DFDESIGN_W computes the H-infinity optimal inverse filter of a given filter phi(z).The resulting filter psi(z) minimizes the H-infinity norm of the error systemE_w(z) = [z^(-d) - psi(z)phi(z)]w(z).If an error occurs, use "dfdesign_w_lmi.m".[INPUT]phi: target...


Platforms: Matlab

This function does the decomposition of a separable nD kernel intoits 1D components, such that a convolution with each of thesecomponents yields the same result as a convolution with the full nDkernel, at a drastic reduction in computational cost.SYNTAX:======= [K1,KN,ERR] =...


Platforms: Matlab

Converts normally distributed z-statistic to one- or two-tailed p-valueby integrating the standard normal pdf. If no "tails" value is specified, z2p computes the two-tailed value by default. The output p is the same size as z, which can be a scalar, vector, or matrix. Inputs:z: normally...


Platforms: Matlab

Normalize a set of vector, or builds a set of orthnormal vectors from a single vector


Platforms: Matlab

This is a MATLAB-implementation of ROCK4 (Abdulle & Medovikov)for the numerical solution of a (mildly) stiff system of first order differential equations ODEs y'=f(t,y).ROCK4 is based on a family of second order explicit Runge-Kutta methods with nearly optimal stability domain on the negative...


Platforms: Matlab

This m-function returns the negative hypergeometric probability density function with parameters M, N and A at the values in X. Note: The density function is zero unless M, N and A are integers.If a lot consists of M acceptable items and N defective ones. Suppose that items are drawn at random...


Platforms: Matlab

1 we express a number as a linear combination of powers of 102 for example1980=1*10^3+9*10^2+8*10^1+0*10^0we get [1 9 8 1]apply divisibility rule by 7remaining digits-2(last digit)k=11 9 8 -2(1)=196k=219 - 2(6)=7k=30-2(7)=-14 which is divisible by 7stop we get a negative number


Platforms: Matlab

Cauchy cdf, pdf, inverse cdf, parameter fit, and random generator.Implementation package of the Cauchy distribution.cauchycdf: Cauchy cumulative distribution function (cdf).cauchyfit: Parameter estimation for Cauchy data.cauchyinv: Inverse of the Cauchy cumulative distribution function...


Platforms: Matlab

[Jaccard,Dice,rfp,rfn]=sevaluate(m,o)gets label matrix for one tissue in segmented and ground truthand returns the similarity indicesm is a tissue in gold trutho is the same tissue in segmented imagerfp false pasitive ratiorfn false negative ratio


Platforms: Matlab

%Input:%Suppose you have a file that lists the occurences of every n-gram,%and has a data format looks like (%s %s ... %d):%hello 367%word 5754%Output%Plot a JPG figure and saves it in the data files' parent directory


Platforms: Matlab

For vectors, WMEAN(X,W) is the weighted mean value of the elements in X using non-negative weights W. For matrices, WMEAN(X,W) is a row vector containing the weighted mean value of each column. For N-D arrays, WMEAN(X,W) is the weighted mean value of the elements along the first non-singleton...


Platforms: Matlab

Utility function operates with no loops, so is of comparable speed to LINSPACE.Using the same syntax as LINSPACE, SINSPACE makes a sine-spaced vector, clustering the elements toward the endpoint:|_____|_____|____|___|__|_||Given negative vector length, SINSPACE clusters points toward the...


Platforms: Matlab

Utility function operates with no loops, so is of comparable speed to LINSPACE.Using the same syntax as LINSPACE, COSSPACE makes a cosine spaced vector, clustering the elements toward the endpoints with greater spacing in the middle:||_|__|___|____|_____|_____|____|___|__|_||Given negative vector...


Platforms: Matlab

UNIQUETOL Unique element within a tolerance.[Y,I,J] = UNIQUETOL(X,TOL) is very similar to UNIQUE, but allows an additional tolerance input, TOL. TOL can be taken as the total absolute difference between similar elements. TOL must be a none negative scalar. If not provided, TOL is assumed to be 0,...


Platforms: Matlab

Y = DOWNSIDEVARIANCE(Y) returns the downside variance for columns of variable Y.Y = DOWNSIDEVARIANCE(Y, m) returns the downside variance using vector m as expected value for columns of variable Y.===================================================Downside variance is defined as the average sum of...


Platforms: Matlab

This function finds the forward kinematics of the RA-01 Robotic Arm made by Images SI, Inc., New York. The RA-01 has five degrees of freedom. This function outputs two vectors. The first vector is the forward kinematics of the central position of the end effector, while the second vector is the...


Platforms: Matlab

With this GUI you can find the best distribution that fits your data.1. Save the Main_FitDistribution_GUI.fig and Main_FitDistribution_GUI.m files at the same directory.2. Run the Main_FitDistribution_GUI.m file.3. Load data using the "Load Data" button. The file should be a text file with 1...


Platforms: Matlab