Archimedes Principal

Made a PCA block (principal component analysis) within Simulink. Block calculates the principle components on any sized input matrix.Equivalent of the MATLAB PRINCOMP command (currently only outputs PC).

Archimedes Geo3D allows the user to execute geometric constructions in three dimensions. It generalizes the well-known ruler and compass constructions to spatial geometry. The most important elements are * Points * Lines * Circles * Planes * Spheres * Vectors * Loci Archimedes allows...

Principal AntiVirus is powerful antivirus software which protects your Windows computer against a large range of threats including viruses, worms, trojans, backdoors, adware, spyware and other malware. It is designed to offer you principal protection against currently known as well as future...


Platforms: Windows

Archimedes will be a Computer Aided Design (CAD) program developed side by side with architecture offices in order to fulfill all their needs. This way, we hope to develop software better suited for architects than the currently widely used AutoCAD.


Platforms: Windows, Mac, Linux

GNU Archimedes is the GNU package for the design and simulation of submicron semiconductor devices. It is a 2D Fast Monte Carlo simulator which can take into account all the relevant quantum effects, thank to the implementation of the Bohm effective potential method. The physics and geometry of a...


Platforms: *nix, C/C++, BSD

This is a generalized version of Principal Component Pursuit (PCP) where the sparsity is assumed in a transform domain and not in measurement domain. Moreover the samples obtained are lower dimensional projections. Inputs y - observation (lower dimensional projections)F - projection from signal...


Platforms: Matlab

A script containing the methods used to develop a principal components analysis in MATLAB is presented. The results are analyzed and plotted in different ways in order to interpret the information. The script is presented in Spanish and English. Some datasets are attached and ready to...


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

Matlab source codes for Multilinear Principal Component Analysis (MPCA)%[Algorithms]%The matlab codes provided here implement two algorithms presented in the paper "MPCA_TNN08Jan.pdf" included in this package:Haiping Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "MPCA: Multilinear Principal...


Platforms: Matlab

Do principal components analysis (PCA) on real-valued data.Two methods are available: 'eig' and 'svd' which solve the problem by eigenvalue decomposition and singula value decomposition, respectively. Please note that 'svd' is running in 'economy' mode.


Platforms: Matlab

PickStock (copyright 2003, Bell Software and Services, Inc.) uses principal components analysis to search out potentially underpriced stocks by analyzing a user-supplied database of historical stock prices. The program is believed to be an implementation of what is known in the financial market...


Platforms: Windows

MPCA is a comprehensive suite of tools for doing discrete principal components analysis on data sets of size 100Mb or more. Scaling is done using sparse vectors, multi-threading, memory mapping, and other POSIX tricks. Reports, file dumping utilities and other utilities are included. The...


Platforms: *nix

This toolbox includes routines for using principal component analysis (PCA) and independent component analysis (ICA) to extract cellular signals from imaging data sets. A full description and validation of the method is provided in the paper, "Automated Analysis of Cellular Signals from...


Platforms: Matlab

This book is organized into three principal areas: analog control systems, digital control systems, and nonlinear analog control systems.


Platforms: Matlab

This book is organized into three principal areas: analog control systems, digital control systems, and nonlinear analog control systems.For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1625.jsp.


Platforms: Matlab

This m-file deals with the iterated principal factor method (principal axis factoring) thru the complete data matrix, the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation. It works with an iterative solution for communalities and factor loadings. At...


Platforms: Matlab

Before there was floating point, or a way to write zero, or algebraic notation, Archimedes bounded the value of pi by estimating the perimeter of regular polygons inside and outside the circle. His computation is repeated and explained here using MATLAB.


Platforms: Matlab

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data...


Platforms: Windows, Windows 8, Windows 7, Windows Server

A 'Four-Star Editors' Pick' from ZDNet! Feature-rich mortgage amortization program. Enter any three figures and compute the fourth. Supports fixed, variable, biweekly, Canadian, and more. Animated 3D graphs, 'rich text' notes, customized printouts, discount points breakeven, annual subtotals,...


Platforms: Windows

Mortgage loan income and amortization management ... track monthly, biweekly, weekly or random mortgage payments ... provisions for penalty or late fees, additional principal, apply escrow taxes and or insurance payments received and disbursed ... unlimited accounts ... includes loan payment...


Platforms: Windows, Windows 7