Bandwidth Reduction Tester Registration Code PC/Windows Latest Bandwidth Reduction Tester features 3 bandwidth reduction algorithms: Cuthill-McKee, Reverse Cuthill-Mckee and Genetic Algorithm. The first algorithm is simple and naive and the second one is a fast and cheap method that has a quite high ratio of errors to the number of its iterations. The third algorithm is a genetic algorithm that uses a binary mutation operator and the elitism selection operator to find an optimal banded matrix. Bandwidth Reduction Tester Features: - Select the bandwidth reduction algorithm from 3 algorithms (Cuthill-McKee, Reverse Cuthill-Mckee and Genetic Algorithm) - Generate sparse matrices of various sizes and densities - Generate dense matrices and check that the selected bandwidth reduction algorithm finds a sparse solution for them. - Run the program multiple times and graph the errors to the number of iterations in each case. The tests are run on various densities (i.e. % of non-zero elements) and sizes (i.e. number of rows and columns) and the results will be saved and used later to generate graphs for you. A: Actually, it is commonly believed that the Cuthill-McKee algorithm is the best. In addition, it usually requires no tuning parameters. In your post you write: The second algorithm is fast and cheap but its error rate is high, typically around 60% while the first algorithm only requires 2 to 3% of error. This is incorrect. The Cuthill-McKee algorithm has an error rate of at most 20% and even that may be optimistic. However, there are other algorithms that produce better error rates than Cuthill-McKee. And, of course, the Cuthill-McKee algorithm is very fast. A: If you're interested in reading about this topic, I would recommend Matti Huemalainen's thesis, which discusses and compares multiple banded matrix solvers in detail. He also provides software implementations of his findings in his SolveBandedMatrices library. The first, Cuthill-McKee algorithm is the best known method of sparse banded matrix solving, although it is rarely used in practice. The reverse Cuthill-McKee algorithm is much faster than Cuthill-McKee, but its performance is not quite as good. The genetic Bandwidth Reduction Tester Incl Product Key Bandwidth Reduction Tester Crack Keygen is a small Delphi application that can generate sparse matrices of various sizes and densities (the density of a sparse matrix is the percent of non-zero elements is contains) and that features 3 bandwidth reduction algorithms. The first algorithm is the original Cuthill-McKee algorithm, the second one is the Reverse Cuthill-Mckee algorithm (both of which have been covered in detail) and the third algorithm is a genetic algorithm. Developer: Bandwidth Reduction Tester was developed by Victor Chernozhukov in the spring of 2001. Change Log: Version 1.1: - 28/05/01 Added the Reverse Cuthill-Mckee algorithm - 16/06/01 Added the Bandwidth reduction algorithm and the genetic algorithm - 01/08/01 Added the Cuthill-McKee algorithm and the eigensystem option - 15/08/01 Added more options for the bandwidth reduction algorithm and the genetic algorithm - 19/10/01 Added the option for the bandwidth reduction algorithm that uses the Friedman algorithm to eliminate the diagonal of the matrix - 25/11/01 Added more options to the bandwidth reduction algorithm and the genetic algorithm - 07/12/01 Added the option to also generate an eigensystem for use with the original Cuthill-McKee algorithm - 22/01/02 Updated the tool for support for non-square matrices - 03/02/02 Fixed a bug in the eigenvalue algorithm (which could make the bandwidth reduction algorithm erroneously fail) - 25/02/02 Updated the tool for support for different types of matrices - 13/03/02 Added the option for the bandwidth reduction algorithm that uses the Stoneley-Moses algorithm - 19/04/02 Added the option for the bandwidth reduction algorithm that uses the reverse-Cuthill-McKee algorithm - 02/06/02 Added the options for the bandwidth reduction algorithm that use the Friedman and the Stoneley-Moses algorithms - 25/08/02 Added the option for the bandwidth reduction algorithm that uses the reverse-Cuthill-McKee algorithm - 01/10/02 Added a test for the maximum number of iterations for each algorithm - 14/11/02 Added the option for the bandwidth reduction algorithm that uses the Friedman algorithm to eliminate the diagonal of the matrix - 17/11/02 Updated the tool for support for non-square matrices 1a423ce670 Bandwidth Reduction Tester For PC • The application has an easy to use, graphical user interface (GUI) • It features high speed execution, thus the GUI can show you the execution results as it goes • The execution results are reported as graphs, thus it is easier to understand the results • The GUI allows you to select the bandwidth reduction method, the sparsity level and the number of elements to be reduced, and which of the 2 results to show • The application features very easy to use syntax, making it very easy to use v4.06 ===== GUI Improvements - Hidden action buttons are now supported. - Fixed issue in the GUI when reduced graphs are not ready. - Fixed issue when loading an old saved graph. v4.05 ===== Fixed issue where bandwidth reduction tests failed because the column index was out of bounds. v4.04 ===== Automatic reconfiguration of memory. v4.03 ===== Fixed issue where the menu for window size was not responding when the GUI was maximized. v4.02 ===== Fixed issue where graph showing time for a random number of elements was not working as expected. v4.01 ===== Fixed issue where graphs that were not generated had grey entries in them. Fixed issue where the NumericUpDown control could not handle empty textboxes. Fixed issue where the Restore button did not work in some circumstances. Fixed issue where graphs were not showing the correct number of iterations when the pre-allocated memory was not large enough. Fixed issue where the entry fields in the dialog boxes did not respond to the menu correctly. Fixed issue where the menu for window size was not responding when the GUI was maximized. Fixed issue where the NumericUpDown control could not handle empty textboxes. Fixed issue where the Restore button did not work in some circumstances. Fixed issue where graphs were not showing the correct number of iterations when the pre-allocated memory was not large enough. Fixed issue where the Graphs "Collect" window was missing the "OK" button. Fixed issue where graphs were not showing the correct number of elements processed in the graphs (but the execution was correct). Fixed issue where the left graph was showing values that should not have been processed. Fixed issue where the GUI was not accepting the settings for the graphs from What's New In Bandwidth Reduction Tester? System Requirements: - Mac OS X 10.7.5 or higher - 2GB of RAM - OpenGL 2.0 compatible video card (i.e. Nvidia 8800, ATI Radeon 2600 or better) - A 2GB hard drive - 500MB of disk space - 10-20 minutes of time - 1024x768 screensaver - system response time is approximately 5 seconds - system able to run 6 games simultaneously without freezing - DirectX compatible system, not required, but
Related links: