In the present paper the ORTHOMAX rotation problem is reconsidered. It is shown that its solution can be presented as a steepest ascent flow on the manifold of orthogonal matrices. A matrix formulation of the ORTHOMAX problem is given as an initial value problem for matrix differential equation of first order. The solution can be found by any available ODE numerical integrator. Thus the paper proposes a convergent method for direct matrix solution of the ORTHOMAX problem. The well-known first order necessary condition for the VARIMAX maximizer is reestablished for the ORTHOMAX case without using Lagrange multipliers. Additionally new second order optimality conditions are derived and as a consequence an explicit second order necessary condi...
The purpose of this paper is to introduce a new way of choosing directions for the Mesh Adaptive Dir...
Brokken has proposed a method for orthogonal rotation of one matrix such that its columns have a max...
Gradient methods are employed in orthogonal oblique analytic rotation. Constraints are imposed on th...
factor analysis, quartimax, varimax, orthomax, simultaneous rotation, simultaneous diagonalization, ...
AbstractThe existing iterative algorithms for optimal orthonormalization of the strapdown matrix are...
The problem of rotating a matrix orthogonally to a best least squares fit with another matrix of the...
In recent years there has been a growing interest in the dynamics of matrix differential systems on ...
The problem of restoring the orthonormality of a noisy rotation matrix by finding its nearest correc...
The classical matrix Procrustes problem seeks an orthogonal matrix, U , which most closely transform...
In this paper an algorithm and architecture for computing the eigenvalue decomposition (EVD) of a sy...
In the paper proposed we will make use of the gradient flow approach to consider a generalization of...
The weighted orthogonal Procrustes problem, an important class of data matching problems in multivar...
Certain applications produce initial value ODEs whose solutions, regarded as time-dependent matrices...
AbstractThe initial value problem for ordinary differential equation (ODE) is investigated when the ...
Abstract. Rotations are essential transformations in many parts of numerical linear algebra. In this...
The purpose of this paper is to introduce a new way of choosing directions for the Mesh Adaptive Dir...
Brokken has proposed a method for orthogonal rotation of one matrix such that its columns have a max...
Gradient methods are employed in orthogonal oblique analytic rotation. Constraints are imposed on th...
factor analysis, quartimax, varimax, orthomax, simultaneous rotation, simultaneous diagonalization, ...
AbstractThe existing iterative algorithms for optimal orthonormalization of the strapdown matrix are...
The problem of rotating a matrix orthogonally to a best least squares fit with another matrix of the...
In recent years there has been a growing interest in the dynamics of matrix differential systems on ...
The problem of restoring the orthonormality of a noisy rotation matrix by finding its nearest correc...
The classical matrix Procrustes problem seeks an orthogonal matrix, U , which most closely transform...
In this paper an algorithm and architecture for computing the eigenvalue decomposition (EVD) of a sy...
In the paper proposed we will make use of the gradient flow approach to consider a generalization of...
The weighted orthogonal Procrustes problem, an important class of data matching problems in multivar...
Certain applications produce initial value ODEs whose solutions, regarded as time-dependent matrices...
AbstractThe initial value problem for ordinary differential equation (ODE) is investigated when the ...
Abstract. Rotations are essential transformations in many parts of numerical linear algebra. In this...
The purpose of this paper is to introduce a new way of choosing directions for the Mesh Adaptive Dir...
Brokken has proposed a method for orthogonal rotation of one matrix such that its columns have a max...
Gradient methods are employed in orthogonal oblique analytic rotation. Constraints are imposed on th...