COSC 4323 Project 1
IrfanView is a small, lightweight but powerful image viewer. It is one of the most popular free
image viewers. It is ranked #1 in the product ranking in photo editors at CNet.com.
See http:/en.wikipedia.org/wiki/IrfanView
It can displa
COSC 4323 Project 3
In this project, you are going to learn one point perspective, two point perspective, three point
perspective, some rules of taking good photographs, and perspective transformation and
rectification.
Part 1. Nowadays taking digital pho
COSC 4323 Homework Assignment 1
1.
2.
3.
4.
5.
6.
What is aliasing?
What is the Nyquist rate?
What is Moire pattern?
Explain the concept of bits per pixel and how it is related to a digital image quality.
Explain the concept of contrast.
Tanimoto
Chap. 3
COSC 4323 Project 2
In this project, you will perform each of the following transformations:
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
cropping
resize
convert to negative
convert to gray scale
brightness adjustment
contrast adjustment
nonline
COSC 4323 Homework Assignment 2
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
What is additive color mixing?
What is subtractive color mixing?
What is the hue of a color? What is the saturation of a color?
What is the definition of color temperature?
Explain what geomet
Preface xvii
Chapter] Introduction 1
1.1 Problem Solving and Decision Making 3
1.2 Quantitative Analysis and Decision Making 5
1.3 Quantitative Analysis 7
Model Development 7
Data Preparation to
Model Solution ll
Report Generation 13
A Note Regarding Impl
Transshipment Problem
And Assignment Problem later in this
section
In the transshipment problem we show here a company has two
plants where it makes stuff and these are called origin nodes.
There are two warehouses, called transshipment nodes, and there
a
The Shortest Route
Problem
In the shortest route problem, consider a network where there are several locations in
the network, but 1 location might be called the home base and 1 the final destination.
Between the home base there are some other locations o
Question 1 of 35
You have a nice place in a rural setting with a little kitchen and a
few cows out in the back. You figure you can make $3 profit per cake
(C) that you can bake or $3 profit per dozen cookies (D) you make.
The main constraints for you are
The Maximum Flow
Problem
A maximum flow technique is used to determine the amount that can flow through a
system. Each part of the system may not have the same capacity. So, in some sense,
what can flow through the system is determined by the smaller capa
A Production and
Inventory Application
The authors of the text want to show how some of the same logic for a transshipment
problem can be used in a production setting where the production cost in each period
may not be the same and therefore the company m
The distribution system for the Herman Company consists of three plants, two warehouses, and four customers. Plant
capacities and shipping costs per unit (in $) from each plant to each warehouse are shown below along with customer
demand and shipping cost
problem 13
Excel file using Excel Solver
1) the final value for each decision variable
A=1
B=5
2) the value of the objective function
1A+2B =11
3) give an indication in each problem what the specific range of optimality, range of feasibility and
dual valu
Transportation Model
1
A transportation problem is a situation where a company has
some places where is has some items, but it would like the
items to be transported somewhere else.
We start at the sources and end up at destinations.
On the next slide I h
HOMEWORK
Sec. 3.2
The following graphs show regions of feasible solutions. Use these regions to find maximum and
minimum values of the given objective functions.
1. = 2 Feasible region is inside the polygon shown below.
2. = + Feasible region is inside th
HOMEWORK
Sec. 4.1
1. Add slack variables to each of the inequalities to translate them into equations.
1 + 22 + 53 16
31 + 22 + 43 32
2. Find the initial simplex tableau for the following linear programming problem.
Maximize = 1 + 22 + 43
Subject to: 1 +
HOMEWORK
Sec. 3.1
Graph each linear inequality.
1. 2 > 1
2. 3 + 2 6
Graph the feasible region for each system in inequalities. State whether the feasible region is
bounded or unbounded.
3. + 3 6
2 + 3 7
4. 3 + 4 > 12
2 3 < 6
02
0
In each problem below, do
HOMEWORK
Sec. 3.3
In each of the following linear programming problems, do the following:
a.
b.
c.
d.
e.
f.
g.
Define variables.
Determine constraints.
Determine objective function.
Graph the feasible region.
Find the corner points.
Evaluate the objective
Chapter 6 Inverse Functions
6.2 Exponential Functions and Their Derivatives
M148 Section 6.2 Exponential Functions and Their Derivatives
Introduction
What is an exponential function?
What does an exponential function look like?
How to dierentiate an expon
Chapter 7 Techniques of Integration
7.2 Trigonometric Integrals
M148 Section 7.2 Trigonometric Integrals
Introduction
Integrals of the following forms:
sinm x cosn x dx
secm x tann x dx
sin mx cos nx dx,
sin mx sin nx dx,
cos mx cos nx dx
M148 Section 7.2
Chapter 6 Inverse Functions
6.8 Indeterminate Forms and LHospitals Rule
M148 Section 6.8 Indeterminate Forms and LHospitals Rule
Introduction
How to nd limits of these forms
0
0
0
0 , , 0 , , 0 , , 1 ?
M148 Section 6.8 Indeterminate Forms and LHospitals
Chapter 6 Inverse Functions
6.4 Derivatives of Logarithmic Functions
M148 Section 6.4 Derivatives of Logarithmic Functions
Introduction
How to dierentiate ln x?
How to dierentiate loga x?
How to dierentiate ax ?
1
How to integrate x ?
What is logarithmic
Chapter 6 Inverse Functions
6.1 Inverse Functions
M148 Section 6.1 Inverse Functions
Introduction
What is an inverse function?
When does a function have an inverse?
How is the inverse function related to the original function?
How to nd an inverse functio
Chapter 7 Techniques of Integration
7.4 Integration of Rational Functions
by Partial Fractions
M148 7.4 Integration of Rational Functions by Partial Fractions
Introduction
Integrals of the following form:
P(x)
dx
Q(x)
where P(x) and Q(x) are polynomials.
Chapter 7 Techniques of Integration
7.7 Approximate Integration
M148 Section 7.7 Approximate Integration
Introduction
When its dicult or impossible to nd the formula for the
2
2
cos x 2 dx,
antiderivative, such as
1
3
e x dx.
1
M148 Section 7.7 Approximat
Chapter 6 Inverse Functions
6.3 Logarithmic Functions
M148 Section 6.3 Logarithmic Functions
Introduction
What is a logarithmic function?
What does a logarithmic function look like?
How does a logarithmic function operate?
M148 Section 6.3 Logarithmic Fun