math 175: numerical analysis ii

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Math 175: Numerical Analysis II Lecturer: Jomar F. Rabajante AY 2012-2013 IMSP, UPLB

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Math 175: Numerical Analysis II. Lecturer: Jomar F. Rabajante AY 2012-2013 IMSP, UPLB. Simple Romeo and Juliet Conflict Model. Two Famous Classes of Conflict Models. Lanchester models (combat or attrition models) Richardson models (arms race models). LANCHESTER MODELS. - PowerPoint PPT Presentation

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Page 1: Math 175: Numerical Analysis II

Math 175: Numerical Analysis II

Lecturer: Jomar F. RabajanteAY 2012-2013

IMSP, UPLB

Page 2: Math 175: Numerical Analysis II

Simple Romeo and Juliet Conflict Model

0,

ba

bRdtdJ

aJdtdR

Page 3: Math 175: Numerical Analysis II

Two Famous Classes of Conflict Models

• Lanchester models (combat or attrition models)

• Richardson models (arms race models)

Page 4: Math 175: Numerical Analysis II

LANCHESTER MODELS

• Here, x force and y force are engaged in battle.

• The nonnegative variables x(t) and y(t) denote the strength of the forces at time t, where t is measured in days since the start of the conflict.

• For ease, let the strength be the number of soldiers. (This is an approximation since the number of soldiers is a discrete integer)

Page 5: Math 175: Numerical Analysis II

A TYPICAL LANCHESTER MODEL

The rate at which soldiers are added or lost:

OLR – operational loss rate (loss due to diseases, desertions and other noncombat mishaps)

CLR – combat loss rateRR – reinforcement rate

RRCLROLRdtdx

)(

Page 6: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

1. Conventional Combat (CONCOM)

)(

)(

tQdycxdtdy

tPbyaxdtdx

OLR

For example,a & d can bethe average per soldierdeath or desertion rate due tononcombat mishaps

Page 7: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

1. Conventional Combat (CONCOM)

)(

)(

tQdycxdtdy

tPbyaxdtdx

CLR; b & c are the combat effectiveness coefficient

Page 8: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

The combat efficiency coefficient is difficult to measure. One approach is to set (let’s just discuss b)

ry is the firing rate (shots/combatant/day) of the y force

py is the probability that a single shot kills an opponent

yy prb

Page 9: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

2. Guerilla Combat (GUERCOM)

)(

)(

tQdycyxdtdy

tPgxyaxdtdx

CLR

Page 10: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

Examples of Guerilla tactics: ambushes, sabotage, raids, the element of surprise, and extraordinary mobility to harass a larger and less-mobile traditional army, or strike a vulnerable target, and withdraw almost immediately. Usually, Guerilla tactics are used by smaller-numbered force to attack larger-numbered force.

Unlike CONCOM (which is one-on-one), the guerilla model is used in area-fire situations (concentrated firepower).

Page 11: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

Imagine that a force occupies some region R. The enemy fires into R. Under this circumstances, the loss rate for the force is proportional to their number in region R.

So do not be concentrated in one area!

Page 12: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

The combat efficiency coefficient is difficult to measure. One approach is to set (let’s just discuss g)

Ary is the area of effectiveness of a single y shotAx is the area occupied by the guerillas

x

ry

yy

AA

p

prg

where

Page 13: Math 175: Numerical Analysis II

THREE VERY TRADITIONAL LANCHESTER MODELS

3. Mixed Guerilla-Conventional Combat (VIETNAM)

)(

)(

tQdycxdtdy

tPgxyaxdtdx

Page 14: Math 175: Numerical Analysis II

What do you think is the applicable Lanchester model for the simple Romeo and Juliet Conflict Model?

0,

ba

bRdtdJ

aJdtdR

Page 15: Math 175: Numerical Analysis II

It is a CONCOM model without OLR and no replacements. Actually, this model is called the SQUARE LAW!!!

0,

ba

bRdtdJ

aJdtdR

The attrition rate of each belligerent is proportional to the size of the adversary.

Page 16: Math 175: Numerical Analysis II

Richardson’s Model

• Read the pdf file arms race model uploaded in our yahoogroup. This might help you in your project.

Page 17: Math 175: Numerical Analysis II

INTERACTING POPULATION MODELS

You can model:• Neutralism• Amensalism• Commensalism• Competition• Mutualism• Predation • Parasitism, etc…

Page 18: Math 175: Numerical Analysis II

Lotka-Volterra Predator-Prey Model• This is the grandpa of all predator-prey models.• This is a “bad” model but is very historical.• Let N(t) be the number (or density) of prey• Let P(t) be the number (or density) of predators

mPbNPdtdP

cNPrNdtdN

Prey will grow exponentially in the absence of predator.The loss of prey and the growth of predators are proportional to N and P.In the absence of prey, predators die out.

Page 19: Math 175: Numerical Analysis II
Page 20: Math 175: Numerical Analysis II

Epidemics and Rumor models

• Will be discussed in the laboratory.

Page 21: Math 175: Numerical Analysis II

Simple Models of Electrical Circuit

• Read the pdf file RLC circuit uploaded in our yahoogroup. I will use these models in one of your laboratory classes. So study how the DEs are derived.