Lambda Theta Phi

Moop (Mud, Object-Oriented, Pythonic) is a MOO written entirely in Python, with a Lambda-MOO-based syntax and using Python as its object scripting language.

An interpreter of lambda calculus.It shows reduction process of lambda terms.Several evaluation strategies are supported.Output format can be selected from LaTex, plain text.

This is a discrete event model that has been developed to computationally simulate the many interactions that occur between co-inhabiting populations of bacteriophage lambda and bacteria. Model qualifications are under review for scientific publication.


Platforms: Windows, Mac, Linux

[psi gopt] = dfdesign_w_lmi(phi, w, d, n);DFDESIGN_W_LMI computes the H-infinity optimal inverse FIR filter of phi(z).The resulting filter minimizes the H-infinity norm of the error system E_w(z) = [z^(-d) - psi(z)phi(z)]w(z).The LMI method based on KYP lemma is used in this function.[INPUT]phi:...


Platforms: Matlab

This simulink model simulates the damped driven pendulum, showing it's chaotic motion.theta = angle of pendulumomega = (d/dt)theta = angular velocityGamma(t) = gcos(phi) = Forceomega_d = (d/dt) phiGamma(t) = (d/dt)omega + omega/Q + sin(theta)Play with the initial conditions (omega_0, theta_0,...


Platforms: Matlab

This package has solvers for constrained and unconstrained L1 minimization, which is useful for compressed sensing. u = COORDL1BREG(A,f,lambda) solves the minimization problem min_u ||u||_1 subject to A*u = fwhere A is an MxN matrix and f is a vector of length M. Input lambda is a positive...


Platforms: Matlab

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y...


Platforms: Matlab

Phi = keplerSTM(x0,dt,mu) will return the state transition matrix Phi for a set of objects described by initial positions and velocities (x0) with gravitational parameters mu, propogated along Keplerian orbits for time dt. The positions and velocities at time dt is then given by Phi*x0. x0 must...


Platforms: Matlab

Free Split and Merge Expectation-Maximization algorithm for Multivariate Gaussian Mixtures. This algorithm is suitable to estimate mixture parameters and the number of conpounds Usage ------- [logl , M , S , P] = fsmem_mvgm(Z , [M0] , [S0] , [P0] , [option]); Inputs ------- Z Measurements (d x N)...


Platforms: Matlab

Generate a Gamma random variable "Statistical Distributions", Evans, Hastings, Peacock, 2nd Edition, Wiley, 1993, p.75-81INPUTS: (N,M) = size of array of random variables to generate b = scale parameter > 0 c = shape parameter > 0 probability density function (pdf) p(x) = (x/b)^(c-1) * exp(-x/b)...


Platforms: Matlab

This file provides implementations of the composite parameterization of the unitary group U(d) and special unitary group SU(d) of arbitrary dimension d.>> UC.mFor an arbitrary dxd real matrix 'lambda' the function UC(lambda) returns a unitary matrix of dimension dxd.>> UCS.mFor an arbitrary dxd...


Platforms: Matlab

[blockVectorX,lambda]=lobpcg(blockVectorX,operatorA)outputs the array of algebraic smallest eigenvalues lambda andcorresponding matrix of orthonormalized eigenvectors blockVectorX of the Hermitian (full or sparse) operator operatorA using input matrix blockVectorX as an initial guess, without...


Platforms: Matlab

Computes Disk Harmonic Functions; uses Bessel functions and derivatives Requires BessDerivZerosBisect2.mfunction dnm = DiskHarmonic(m,n,r,theta) if(m == 0) dnm = 1*Rnm elseif(m 0) dnm = sqrt(2)*Rnm.*cos(mu*theta) end m0: dnm(r,theta) = sqrt(2)*Rnm(r)*cos(m*theta) (m = |mu|) n = 0,1,2,... m =...


Platforms: Matlab

Often three dimensional objects need to be reconstructed from planar images that are taken from slices in destructive testing. This sometimes requires the manual selecting of control points, but in this case geometries of the solid can be exploited to realign the images automaticaly. This is an...


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

Set the elements of the Matrix Image which are in the interior of the ellipse E with the value 'color'. The ellipse E has center (y0, x0), the major axe = a, the minor axe = b, and teta is the angle macked by the major axe with the horizontal axe.ellipseMatrix(y0, x0, a, b, theta, Image,...


Platforms: Matlab

A polynomial is a mathematical expression involving a sum of powers in one or more variables multiplied by coefficients. A general multivariate polynomial is captured with the syntaxp = sum( c_i * prod( x_j^p_ij ) ) + kwhere the summation is over i, the product over j, and c_i is the set of...


Platforms: Matlab

Library to handle and visualize geometric primitives such as points, lines, circles and ellipses, polylines and polygons...The goal is to provide a low-level library for manipulating geometrical primitives, making easier the development of more complex geometric algorithms.The library proposes...


Platforms: Matlab

A toolkit for Gaussian mixtures.flexible tools for:Generating univariate, multivariate, or mixtures of gaussiansInteractive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove dimensions or clusters and inspect the fit in real-time.Also includes...


Platforms: Matlab

Estimating of the statistical power of a performed (a posteriori) single factor Multivariate Analysis of Variance (MANOVA).It needs to input the observed parameters among two possible options. Option 1: multivariate observed F-statistic, numerator degrees of freedom, denominator degrees of...


Platforms: Matlab