# 'Initial condition' presentation slideshows

## Modeling Linguistic Theory on a Computer: From GB to Minimalism

Modeling Linguistic Theory on a Computer: From GB to Minimalism. Sandiway Fong Dept. of Linguistics Dept. of Computer Science. Mature system: PAPPI parser in the principles-and-parameters framework principles are formalized and declaratively stated in Prolog (logic)

By Mia_John
(420 views)

## Principles of Patient Assessment in EMS

Principles of Patient Assessment in EMS . By: Bob Elling, MPA, EMT-P & Kirsten Elling, BS, EMT-P. Chapter 22 – Putting it All Together . © 2003 Delmar Learning, a Division of Thomson Learning, Inc. . Objectives. Provide examples of an EMS provider’s role in patient advocacy.

(220 views)

## Lecture ( 25 ): Ordinary Differential Equations ( 1 of 2 )

Lecture ( 25 ): Ordinary Differential Equations ( 1 of 2 ). A differential equation is an algebraic equation that contains some derivatives :. Recall that a derivative indicates a change in a dependent variable with respect to an independent variable .

By kamana
(429 views)

## Existence and Uniqueness Theorem (Local Theorem)

Existence and Uniqueness Theorem (Local Theorem). Existence and Uniqueness Theorem Local Theorem. Proof :. Existence and Uniqueness Theorem (proof). Existence and Uniqueness Theorem (proof). Existence and Uniqueness Theorem (proof). Existence and Uniqueness Theorem (Global Theorem).

By lorna
(1005 views)

## TOXIC RELEASE & DISPERSION MODELS

TOXIC RELEASE & DISPERSION MODELS. Prepared by Associate Prof. Dr. Mohamad Wijayanuddin Ali Chemical Engineering Department Universiti Teknologi Malaysia. The applicable conditions are - - Constant mass release rate, Q m = constant, - No wind, < u j > = 0,

By flavio
(362 views)

## First Order Partial Differential Equations

First Order Partial Differential Equations. Method of characteristics. Web Lecture WI2607-2008. H.M. Schuttelaars . Delft Institute of Applied Mathematics. Contents . Linear First Order Partial Differential Equations Derivation of the Characteristic Equation Examples (solved using Maple)

By tessica
(1488 views)

## Ch 2.4: Differences Between Linear and Nonlinear Equations

Ch 2.4: Differences Between Linear and Nonlinear Equations. Recall that a first order ODE has the form y ' = f ( t , y ), and is linear if f is linear in y, and nonlinear if f is nonlinear in y. Examples: y ' = t y - e t , y ' = t y 2 .

By kristy
(234 views)

The Advection Dispersion Equation. Contaminant Transport. Modelling Contaminant Transport in Porous Media. Advection. Advection causes translation of the solute field by moving the solute with the flow velocity

By soleil
(80 views)

## Discrete-Time Models

Discrete-Time Models. Lecture 1. When To Use Discrete-Time Models. Discrete models or difference equations are used to describe biological phenomena or events for which it is natural to regard time at fixed (discrete) intervals. The size of an insect population in year i ;

By jory
(225 views)

## Lin McMullin

Accumulation & Functions Defined by Integrals. Lin McMullin. Accumulation & Functions Defined by Integrals. Or Thoughts on . My Favorite Equation!.

By avedis
(198 views)

## Simulation of Chemical Reactor Performance – A Grid-Enabled Application –

Simulation of Chemical Reactor Performance – A Grid-Enabled Application –. Kenneth A. Bishop Li Cheng Karen D. Camarda The University of Kansas kbishop@ku.edu. Presentation Organization. Application Background Chemical Reactor Performance Evaluation Grid Assets In Play Hardware Assets

By iokina
(205 views)

## Flow of Control

Flow of Control. MINS298c Fall 1998 Chapter 9. Overview. ABAP Programming Structures for: Iteration Decisions Control Flow If … Then Do & While loops In Class Exercise. Decisions. Conditions are created with logical operators Simple or Compound (with parentheses)

By fremont
(128 views)

## Connections with Partial Differential Equations

Chapter 6. Connections with Partial Differential Equations. 陳博宇. *purpose*. There are two ways to compute a derivative security price (1) Use Monte Carlo simulation and risk- neutral measure (2)Numercially solve a partial differential equation.

By sophie
(163 views)

## State Space Analysis

State Space Analysis. Hany Ferdinando Dept. of Electrical Engineering Petra Christian University. Overview. State Transition Matrix Time Response Discrete-time evaluation. State Transition Matrix. The solution of . is.

(204 views)

## ELECTROMAGNETIC CANNON

ELECTROMAGNETIC CANNON. Question. A solenoid can be used to fire a small ball. A capacitor is used to energize the solenoid coil. Build a device with a capacitor charged to a maximum 50V. Investigate the relevant parameters and maximize the speed of the ball. Outline. Experimental setup

By toki
(140 views)

## Modeling Linguistic Theory on a Computer: From GB to Minimalism

Modeling Linguistic Theory on a Computer: From GB to Minimalism. Sandiway Fong Dept. of Linguistics Dept. of Computer Science. Mature system: PAPPI parser in the principles-and-parameters framework principles are formalized and declaratively stated in Prolog (logic)

By clove
(139 views)

## Time Domain Analysis of Linear Systems Ch2

Time Domain Analysis of Linear Systems Ch2. University of Central Oklahoma Dr. Mohamed Bingabr. Outline. Zero-input Response Impulse Response h(t) Convolution Zero-State Response System Stability. Time Domain Analysis. Zero-State Response. If M = N then

By leane
(134 views)

## Ch 2.1: Linear Equations; Method of Integrating Factors

Ch 2.1: Linear Equations; Method of Integrating Factors. A linear first order ODE has the general form where f is linear in y . Examples include equations with constant coefficients, such as those in Chapter 1, or equations with variable coefficients:. Constant Coefficient Case.

(111 views)

## Approximating the derivatives

Approximating the derivatives. Numerical ODE (1D). Initial Value Problem:. Example:. Approximate . Numerical ODE (1D). Example:. Approximate . Forward Euler Method. Forward Euler Method. Example:. Numerical ODE (1D). Example:. function [xi,ti]=feuler(t0,T,n,xi_0) k=(T-t0)/n;

By keola
(80 views)

## Exponential Growth and Decay

Exponential Growth and Decay. Section 6.4a. Law of Exponential Change. Suppose we are interested in a quantity that increases or decreases at a rate proportional to the amount present…. Can you think of any examples???. If we also know the initial amount of , we can model this

By signa
(154 views)

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