About:
Paco (pacKAGE oRGANIZER) is a simple, yet powerful tool to aid package management when installing programs from source code. It uses the LD_PRELOAD method to track package installations, and provides various options to keep the installed software organized. It s mainly a command line application but it has also an optional GTKMM interface.
Release focus: Minor bugfixes
Changes:
Libpaco-log has been rewritten in C. This prevents a glibc installation failure when building LFS in chapter 6. The option -x|--expand has been removed. Several bugs have been fixed in paco, gpaco, and rpm2paco.
Author:
David Rosal
SmallSQL is a 100％ pure Java DBMS, a relational database for Java desktop applications. It has a JDBC 3.0 interface and offering many ANSI SQL 92 and ANSI SQL 99 features. It is very small and fast Java library. It does not have a network interface.
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
ARMask.The ARM has six operating modes:
• User (unprivileged mode under which most tasks run)
• FIQ (entered when a high priority (fast) interrupt is raised)
• IRQ (entered when a low priority (normal) interrupt is raised)
• Supervisor (entered on reset and when a Software Interrupt instruction is
executed)
• Abort (used to handle memory access violations)
• Undef (used to handle undefined instructions)
* ARM Architecture Version 4 adds a seventh mode:
• System (privileged mode using the same registers as user mode)
This a collection of MATLAB functions for extended Kalman filtering, unscented Kalman filtering, particle filtering, and miscellaneous other things. These utilities are designed for reuse and I have found them very useful in many projects. The code has been vectorised for speed and is stable and fast.
Solving Engineering Problems Using MATLAB C++ Math Library Introduction
In the previous article, we studied how can use MATLAB C API to solve engineering problems. In this article I will show you how can use MATLAB C++ math library. The MATLAB® C++ Math Library serves two separate constituencies: MATLAB programmers seeking more speed or complete independence from interpreted MATLAB, and C++ programmers who need a fast, easy-to-use matrix math library. To each, it offers distinct advantages.
As all of you know, MATLAB is a powerful engineering language. Because of some limitation, some tasks take very long time to proceed. Also MATLAB is an interpreter not a compiler. For this reason, executing a MATLAB program (m file) is time consuming. For solving this problem, Mathworks provides us C Math Library or in common language, MATLAB API. A developer can employ these APIs to solve engineering problems very fast and easy. This article is about how can use these APIs.
AutoBoot is a generic boot loader that automatically locates, loads, and
executes object files from multiple types of media. AutoBoot provides a simple,
fast, and functional means of loading an OS image while maintaining a small
Flash memory footprint. This binary release contains a stand-alone version of
AutoBoot for the DbAu1200 development board, designed to replace the YAMON boot
loader.
When working with mathematical simulations or engineering problems, it is not unusual to handle curves that contains thousands of points. Usually, displaying all the points is not useful, a number of them will be rendered on the same pixel since the screen precision is finite. Hence, you use a lot of resource for nothing!
This article presents a fast 2D-line approximation algorithm based on the Douglas-Peucker algorithm (see [1]), well-known in the cartography community. It computes a hull, scaled by a tolerance factor, around the curve by choosing a minimum of key points. This algorithm has several advantages:
這是一個基于Douglas-Peucker算法的二維估值算法。
