Table of Contents
Microsoft Dynamics 80639 Training
Retail in eCommerce Stores: Installation
and Configuration for Microsoft
Dynamics AX 2012 R3
1
Microsoft Retail in eCommerce Stores: Installation and Configuration for
Microsoft Dynamics AX 2012 R3
Modul
Retail Store Connect Technical Reference
Microsoft Dynamics AX for Retail
January 2011
Microsoft Dynamics is a line of integrated, adaptable business management solutions that enables you
and your people to make business decisions with greater confidence.
MODULE 1: INTRODUCTION TO RETAIL POINT OF
SALE (POS) AND OVERVIEW
Module Overview
Microsoft Dynamics AX 2012 R3 for Retail supports multiple retail channels. Retail
channels include online stores, online marketplaces, and brick-and-mortar stores.
In Retai
Microsoft Dynamics for Retail
Solution Overview
Delivering the future of retail TODAY
Empowering Dynamic Retailers to deliver
the complete shopping experience
Contents
EXECUTIVE SUMMARY . 2
THE DYNAMIC RETAILER . 3
FROM VISION TO REALITY . 4
MICROSOFT DYN
Lecture 20 Notes: Local Stable Equilibrium
This lecture presents results describing the relation between existence of
Lyapunov or storage functions and stability of dynamical systems.
6.1
Stability of an equilibria
In this section we consider ODE models
x
Lecture 6 Notes: Storage Functions
This lecture presents results describing the relation between existence of
Lyapunov or storage functions and stability of dynamical systems.
6.1
Stability of an equilibria
In this section we consider ODE models
x (t) = a
Lecture 1 Notes: Input/Output and State-Space Models
1
This lecture presents some basic denitions and simple examples on nonlinear
dynam-ical systems modeling.
1.1
Behavioral Models.
The most general (though rarely the most convenient) way to dene a syste
Lecture 4 Notes: Analysis Based On Continuity
This lecture presents several techniques of qualitative systems analysis based on what is
frequently called topological arguments, i.e. on the arguments relying on continuity of
functions involved.
4.1
Analysi
Lecture 3 Notes: Continuous Dependence
Arguments based on continuity of functions are common in dynamical system analysis.
They rarely apply to quantitative statements, instead being used mostly for proofs of
existence of certain objects (equilibria, open
Lecture 5 Notes: Lyapunov Functions
This lecture gives an introduction into system analysis using Lyapunov
functions and their generalizations.
5.1
Recognizing Lyapunov functions
There exists a number of slightly dierent ways of dening what constitutes a
Lecture 2 Notes: Dierential Equations
Ordinary dierential requations (ODE) are the most frequently used tool for
modeling continuous-time nonlinear dynamical systems. This section presens
results on existence of solutions for ODE models, which, in a syste
Lecture 7 Notes: Finding Lyapunov Functions
This lecture gives an introduction into basic methods for nding Lyapunov functions and
storage functions for given dynamical systems.
7.1
Convex search for storage functions
The set of all real-valued functions
Lecture 9 Notes: Local Behavior Near Trajectories
This lecture presents results which describe local behavior of ODE models in a
neigbor-hood of a given trajectory, with main attention paid to local stability of
periodic solutions.
9.1
Smooth Dependence o
Lecture 10 Notes: Singular Perturbations
This lecture presents results which describe local behavior of parameter-dependent
ODE models in cases when dependence on a parameter is not continuous in the
usual sense.
10.1
Singularly perturbed ODE
In this sect
Lecture 8 Notes: Local Behavior
This lecture presents results which describe local behavior of autonomous systems
in terms of Taylor series expansions of system equations in a neigborhood of an
equilibrium.
8.1
First order conditions
This section describe
UNIVERSIDADE ESTADUAL PAULISTA "JLIO DE MESQUITA FILHO" Campus de Presidente Prudente
ESTATSTICA BSICA
Relatrio das atividades desenvolvidas no perodo da Bolsa de Apoio Acadmico e Extenso I (PAE) de 26/04/2007 28/02/2008.
Bolsista: Fabiano Jos dos Santos
18.05 Spring 2005 Lecture Notes 18.05 Lecture 1 February 2, 2005
Required Textbook - DeGroot & Schervish, "Probability and Statistics," Third Edition Recommended Introduction to Probability Text - Feller, Vol. 1
1.2-1.4. Probability, Set Operations. What
18.05 Lecture 2 February 4, 2005
1.5 Properties of Probability. 1. P(A) [0, 1] 2. P(S) = 1 3. P(Ai ) = P (Ai ) if disjoint Ai Aj = , i = j The probability of a union of disjoint events is the sum of their probabilities. 4. P(), P(S) = P(S ) = P(S) + P() =
18.05 Lecture 3 February 7, 2005
n! Pn,k = (n-k)! - choose k out of n, order counts, without replacement. nk - choose k out of n, order counts, with replacement. n! Cn,k = k!(n-k)! - choose k out of n, order doesn't count, without replacement.
1.9 Multino
18.05 Lecture 4 February 11, 2005
Union of Events P(A1 . An ) = P(Ai ) - P(Ai Aj ) +
i<j i<j<k
P(Ai Aj Ak ) + .
i
It is often easier to calculate P(intersections) than P(unions) Matching Problem: You have n letters and n envelopes, randomly stuff the lett
18.05 Lecture 5 February 14, 2005
2.2 Independence of events. P(A|B) = P(AB) ; P(B) Definition - A and B are independent if P(A|B) = P(A) P(A|B) = P(AB) = P(A) ; P(AB) = P(A)P(B) P(B)
Experiments can be physically independent (roll 1 die, then roll anothe
18.05 Lecture 6 February 16, 2005
Solutions to Problem Set #1 1-1 pg. 12 #9 Bn = i=n Ai , Cn = i=n Ai a) Bn Bn+1 . Bn = An ( i=n+1 Ai ) = An Bn+1 s Bn+1 s Bn+1 An = Bn Cn Cn+1 . Cn = An Cn+1 s Cn = An Cn+1 s Cn+1 b) s n=1 Bn s Bn for all n s i=1 Ai for al
18.05 Lecture 7 February 18, 2005
Bayes' Formula.
Partition B1 , ., Bk k i=1 Bi = S, Bi Bj = for i = j P(A) = k P(ABi ) = k P(A|Bi )P(Bi ) - total probability. i=1 i=1 Example: In box 1, there are 60 short bolts and 40 long bolts. In box 2, there are 10 s
18.05 Lecture 8 February 22, 2005
3.1 - Random Variables and Distributions Transforms the outcome of an experiment into a number. Definitions: Probability Space: (S, A, P) S - sample space, A - events, P - probability Random variable is a function on S wi
S. Widnall, J. Peraire 16.07 Dynamics Fall 2009 Version 2.0
Lecture L4 - Curvilinear Motion. Cartesian Coordinates
We will start by studying the motion of a particle. We think of a particle as a body which has mass, but has negligible dimensions. Treating
S. Widnall, J. Peraire 16.07 Dynamics Fall 2008 Version 2.0
Lecture L5 - Other Coordinate Systems
In this lecture, we will look at some other common systems of coordinates. We will present polar coordinates in two dimensions and cylindrical and spherical
S. Widnall, J. Peraire 16.07 Dynamics Fall 2009 Version 2.0
Lecture L6 - Intrinsic Coordinates
In lecture L4, we introduced the position, velocity and acceleration vectors and referred them to a fixed cartesian coordinate system . Then we showed how they