Discrete Browser 1.0
Discrete Browser is a web browser (like Internet Explorer) with special features which allow much greater privacy for your online surfing experience. Discrete Browser`s Insta-Hide allows you to instantly hide the browser if, for example, someone unexpectantly walks in on you. Discrete Browser`s visibility level can be ajusted from normal (opaque) to varying levels of transparency. Windows 2000 or Windows XP |

WebCab Probability and Stat (J2SE Ed.) 3.6

discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation. Discrete Probability Module The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and

testing, basic, standard, discrete, regression, linear, statistics, probability, java, hypothesis, distributions, class libraries, correlation

WebCab Probability and Stat (J2EE Ed.) 3.6

discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation. Discrete Probability Module The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and

testing, basic, standard, discrete, websphere, regression, linear, statistics, probability, java, hypothesis, distributions, weblogic

WebCab Probability and Stat for .NET 3.6

Discrete Probability Module Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable. Correlation and Regression Module Allows the user to investigate relationships

testing, web service, standard, discrete, regression, linear, statistics, probability, hypothesis, distributions, class libraries, correlation, vb net

WebCab Probability and Stat for Delphi 3.6

Discrete Probability Module Encapsulates the probabilistic study of finite set of events (i.e. discrete probability) and experiments with a finite number of outcomes (i.e. discrete random variables). Including: probability measures, union/intersection law, conditionals/complementary probability; cumulative distribution functions, mean/variance/expected return of Random Variable. Correlation and Regression Module Allows the user to investigate relationships

testing, basic, standard, discrete, regression, linear, statistics, probability, hypothesis, distributions, correlation, vb net, delphi

SimApp 2.50

discrete systems in the time and frequency domain. Best suited for the study of automatic control systems. Graphical, block oriented user interface with more than 80 basic blocks divided into various categories. (Sources, linear, nonlinear, plots, actuators, controllers, time discrete, converters, logic, miscellaneous, special and drawing.). Illustration and documentation of the diagrams with shapes (lines, rectangles, circles, etc.) and text. Creation

control system, nyquist diagram, simulator, time domain, controller, eigenvalues, automation, black s plot, control, dynamics, bode diagram, frequency domain, closed loop

OpenDDPT 0.3.2

OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)

digital filter, optimization, taylor envelope, centi riccardo, model, curriculum vitae, libraries, derivatives, taylor series, linear system solver, gram schmidt, fast hessian product, hessian