Constraints

The priors may be: Litterman random walk plus drift prior; Raynauld-Simonato seasonal random walk plus drift prior or Canova prior: seasonal and non-seasonal unit roots via stochastic constraints + Litterman prior. Combination is achieved using Theil-Goldberger mixed estimation.Estimation uses...

This script shows how to compute a Diffusion Tensor (DTI) from a given DW-MRI (Diffusion-Weighted MRI) dataset. The method guarantees that the estimated tensor is positive-definite or at least positive semi-definite. The implementation is based on the article by A. Barmpoutis and B.C. Vemuri, "A...

QuIRK is an interactive Matlab command line interface for constructing systems of rigid bodies and joint constraints, solving the equations of motion of those systems when subject to various force expressions, displaying and animating solved systems, and extracting information about the state...


Platforms: Matlab

Generation Of Solid Shapes Using Random Number Generator.The Solid Shapes included are:1) Cuboid/Cube2) Sphere3) Cone4) Conical Frustum5) Pyramid6) Pyramidal Frustum7) CylinderTake it as an exercise in understanding how to create constraints to rand() function, in order to get desired results.


Platforms: Matlab

function [C,d]=eliminateConstraints(A,b) eliminates variables from a problem with linear equality constraints to give an unconstrained problem. This is useful e.g. when solving a problem with linear constraints and a nonlinear objective or further nonlinear constraints; eliminating the linear...


Platforms: Matlab

I have enumerated my experience working with MATLAB serial port interfacing features in this article. Lot of examples are also provided. this will defenitely sevr as a self contained tutorial for all those who would like to access COM ports from MATLAB. It will get you started as well as take you...


Platforms: Matlab

This function MESH2TETRA converts a triangulated surface mesh into a tetrahedron volume mesh. Main advantage above existing constrained 3D Delaunay is that it will never add new boundary points, (useful for active appearance models) Disadvantage, some highly non-convex surface-shapes cannot be...


Platforms: Matlab

Implementations of the Hit-And-Run and Gibbs sampling algorithms for the generation of uniformly distributed random vector x satisfying the system of linear inequalities A.x


Platforms: Matlab

This script shows how to compute a Higher-order Diffusion Tensor from a given Diffusion-Weighted MRI dataset. The method guarantees that the estimated tensor is positive-definite or at least positive semi-definite. This implementation is based on the article by A. Barmpoutis and B.C. Vemuri, "A...


Platforms: Matlab

Performs rigid and non-rigid registration of point-sets using graph-based representations.Point-set registration methods using the EM algorithm and Softassign that exploits geometric and structural evidence.The code contains rigid and non-rigid registration algorithms.The parameters of the...


Platforms: Matlab

Connected component analysis on undirected graphs, with thresholding and connectivity constraints. Tristan Ursell, (c) 2012Connected component analysis on an undirected graph, with variousthresholding and connectivity constraints.[groups,orphans] = graph_analysis(W);[groups,orphans] =...


Platforms: Matlab

This program finds efficient/inefficient correlated equilibria that maximize/minimize weighted sum of the payoffs in a two player normal form game max/min w*U1(P)+(1-w)*U2(P) s.t. P is correlated equilibriumwhere U1 and U2 are given n-by-m matrices of payoffs of two players.Algorithm builds the...


Platforms: Matlab

settings = settingsdlg(... 'Description', 'This dialog will set the parameters used by FMINCON()',... 'title' , 'FMINCON() options',... 'separator' , 'Unconstrained/General',... {'Tolerance X' ;'TolX' }, 1e-6,... {'Tolerance on Function';'TolFun'}, 1e-6,... 'Algorithm' ,...


Platforms: Matlab

GSP is a graphical user interface which takes x and y points as inputs, along with the order m, then outputs mth order splines between each of the x points. In most cases additional constraints are to be entered as well. Example: Input: x points : [1 2 3 4] y points : [2 7 -1 5] Order : 2 *One...


Platforms: Matlab

It needs a set of 3D points, equal radii constraints and orientation constraint to fit an ellipsoid into a 3D block object


Platforms: Matlab

There is one class that can access a given MySQL database and retrieve the schema of tables, fields, indexes and constraints.The retrieved MySQL database scheme can be used to generate an XML document with a structure of information that describes it.


Platforms: PHP

Creates a list of tags as an alternative to the tag cloud. List can be bulleted, numbered, or deliminated by line breaks; custom list formatting is also available. Widget provides options to specify list label and trim long tag names to fit theme constraints, as well as display post counts....


Platforms: PHP

incremental-sat-solver is a free and open source Haskell library that provides an implementation of the Davis-Putnam-Logemann-Loveland algorithm for the boolean satisfiability problem. incremental-sat-solver not only allows to solve boolean formulas in one go but also to add constraints and...


Platforms: Mac

Provides a library of matcher objects (also known as constraints or predicates) allowing 'match' rules to be defined declaratively, to be used in other frameworks. Typical scenarios include testing frameworks, mocking libraries and UI validation rules. Hamcrest has been ported to Java, C++,...


Platforms: Mac

Constraint satisfaction problems (CSPs) are pervasive in AI problems. A constraint satisfaction problem is the problem of assigning values to variables that satisfy some constraints. This tool lets you investigate arc consistency and domain splitting with backtracking as ways to solve these...


Platforms: Mac