a comparative evaluation of matlab, octave, freemat - here

... Scilab. The basic studies include basic operations solving systems of linear equations, computing the eigenvalues and eigenvectors of a matrix, and two-dimensional plotting. The complex studies include direct and iterative solutions of a large sparse system of linear equations resulting from finite ...

... Scilab. The basic studies include basic operations solving systems of linear equations, computing the eigenvalues and eigenvectors of a matrix, and two-dimensional plotting. The complex studies include direct and iterative solutions of a large sparse system of linear equations resulting from finite ...

Preconditioning of Markov Chain Monte Carlo Simulations Using

... pre-computed multiscale basis functions and solve the saturation on the fine grid. This provides an accurate approximation for the production data [13, 14, 1]. Since one can re-use the basis functions from the first stage, the resulting method is very efficient. We would like to note that upscaled m ...

... pre-computed multiscale basis functions and solve the saturation on the fine grid. This provides an accurate approximation for the production data [13, 14, 1]. Since one can re-use the basis functions from the first stage, the resulting method is very efficient. We would like to note that upscaled m ...

Chapter 4 Methods

... CAUTION A return statement is required for a value-returning method. The method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else ...

... CAUTION A return statement is required for a value-returning method. The method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else ...

mixture densities, maximum likelihood, EM algorithm

... Regarding p in (1.1) as modeling a mixture population, we say that a sample observation on the mixture is labeled if its component population of origin is known with certainty; otherwise, we say that it is unlabeled. The example above illustrates the central problem with which we are concerned here, ...

... Regarding p in (1.1) as modeling a mixture population, we say that a sample observation on the mixture is labeled if its component population of origin is known with certainty; otherwise, we say that it is unlabeled. The example above illustrates the central problem with which we are concerned here, ...

Section 5 slides - Emory Math/CS Department

... CAUTION A return statement is required for a value-returning method. The method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else ...

... CAUTION A return statement is required for a value-returning method. The method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else ...

Line search methods, Wolfe`s conditions

... if the line search algorithm chooses the step length by backtracking, the curvature condition can be dispensed. This means that we first try a large step and the gradually decrease the step length until the sufficient decrease condition is satisfied. 1.3. Convergence of line search methods. To obtai ...

... if the line search algorithm chooses the step length by backtracking, the curvature condition can be dispensed. This means that we first try a large step and the gradually decrease the step length until the sufficient decrease condition is satisfied. 1.3. Convergence of line search methods. To obtai ...