Linear Technology

Solves the mixed integer linear problem:min c'*xs.t. A*x

First-order-degree linear differential and non-homogeneous equation's solution possible the unknown integration multipler technique. Also, this simple technique's depend both sides of original homogeneous differential equation. The solution is slightly and more complicated if this integration...

SolverNxN is designed to solve many small linear system in a vectorized way in order to improve time perfomaces. It is in practice a faster alternative to the matlab commands: for k = 1:number_of_systemsx=Ab;end The Matlab looping speed can visibly slow down this process so most of the time is...


Platforms: Matlab

NOREDUND - Remove redundant linear inequalities from a set of inequalities; i.e., remove redundant linear constraints defining a feasible region. Note that the feasible region satisfies A*x


Platforms: Matlab

You can solve non-linear systems of 3 variables. Only write "newtonv1" on the command window. Then write the 3 equations, the number of iterations y the precision tolerance. The partial derivatives for the gradients are calculated by the program


Platforms: Matlab

Intended for a sophomore level course in linear algebra, this supplement reinforces key concepts using a variety of class-tested exercises and the "discovery" method.For a full book description and ordering information, please visit http://www.mathworks.com/support/books/book1341.jsp.


Platforms: Matlab

A problem from Dynamics of Structures - Anil K. Chopra is picked and code written to solve the problem.The problem is to get the dynamic response of a structure using Newmark's method. System is a linear system.


Platforms: Matlab

This book focuses on the theory, implementation, and applications of subspace identification algorithms for linear time-invariant finite-dimensional dynamical systems.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1458.jsp.


Platforms: Matlab

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


Platforms: Matlab

This book is written for a first course in numerical linear algebra. It is designed to give students a firm grasp of the basic concepts of roundoff error, stability, condition, and accuracy, as well as an appreciation for the core numerical linear algebra algorithms.For a full book description...


Platforms: Matlab

Designed for a course at the freshman or sophomore level, this book emphasizes the computational and geometrical aspects of linear algebra.


Platforms: Matlab

MATLABdlT« can support certain VXI Technology data acquisition devices through the Data Acquisition Toolbox and this adaptor. This MATLAB adaptor is for use with Data Acquisition Toolbox v2.13 and higher.To install this adaptor, download the VXI_Technology_Adaptor.zip file and follow the...


Platforms: Matlab

Orthogonal Linear Regression in 3D-space by using Principal Components AnalysisThis is a wrapper function to some pieces of the code from the Statistics Toolbox demo titled "Fitting an Orthogonal Regression Using Principal Components...


Platforms: Matlab

Return random variable(s) with linear distribution within [0,1] and 0 outside; m specifies the slopeIn other wordP(x)= mx+b if 0


Platforms: Matlab

XI = findX(X,Y,YI) estimates the XI values at which the dependentvariables Y reach or cross a specified target level YI (scalar value). If there are multiple solutions, findX finds all of them. It may be seen as the "inverse" operation of the MATLAB's functionINTERP1, under 'linear' method.X is a...


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

Let us suppose a set of non-linear equations in the formF(m) = d(m,d are vectors, F is a vector function of vector argument). ANNI tries to construct suitable numerical approximation for inverse projection of d to m, i.e. to find numerical form ofG(d) = m.Such mapping may not exist in general,...


Platforms: Matlab

This customised function solves one type of non-linear systemof 3 simultaneous equations in 3 unknowns: k, L and r0 in 3 equations with 4 knowns: zeta, eeta, d and angle.function matrixresults = symsolvenonlineq(n,degrees,dinput)% EXAMPLE USAGE: m=symsolvenonlineq(3,45,20)% nb: takes around 738s...


Platforms: Matlab

Script for the multiplication of linear expressions without coefficient constants. This script returns a polynomial of given expressions.The number of expressions are not restricted and constant may be real or integer.ExampleCompute the (x-2)(x+4)(x-5)...write in following format. here x is a Row...


Platforms: Matlab

These are the slides of a plenary talk given at the 2006 SIAM Annual Meeting, on July 11, 2006.The talk describes how x=Ab works in MATLAB, when A is sparse.You can view the video at http://www.cise.ufl.edu/research/sparse/SIAM06. Follow along with these slides as you view the video. The slides...


Platforms: Matlab