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Discovering Information Systems
Mike G. Eccles,
Jane M. Nash,
Jean-Paul Van Belle

Table of Contents 

Section I: What is “Information Systems”?

1. The Role of IS in Business

2. Transforming Data into Information

3. How Systems Function

Section II: IS Technologies
   
4. Hardware

5. Software

6. Networks & Telecommunications

7. Databases

Section III: IS Applications

8. Business Support Systems

9. E-Commerce

10. Security and Social Issues

Section IV: IS Management

11. IS Planning & Acquisition

12. System Development

13. Using Information Systems

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Lecture Notes on Optimization
Pravin Varaiya

Table of Contents 

1 Introduction

2 Optimization Over An Open Set

3 Optimization with equality constraints

4 Linear Programming

5 Nonlinear Programming

6 Discrete-time optimal control

7 Continuous-time linear optimal control

8 Coninuous-time optimal control

9 Dynamic programing

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MatheMatical Objects in c++
computational Tools in a Unified
Object-Oriented Approach
Yair Shapira

Table of Contents 

Part I Numbers

1 Natural Numbers

2 Integer Numbers

3 Rational Numbers

4 Real Numbers

5 Complex Numbers

Part II Geometrical Objects

6 Euclidean Geometry

7 Analytic Geometry

Part III Composite Mathematical Objects

8 Sets

9 Vectors and Matrices

10 Multilevel Objects

11 Graphs

12 Polynomials

Part IV Introduction to C

13 Basics of Programming

14 Recursion

Part V Introduction to C++

15 Objects

16 Vectors and Matrices

17 Dynamic Vectors and Lists

Part VI Implementation of Computational Objects

18 Trees

19 Graphs

20 Sparse Matrices

21 Meshes

22 Triangulation

Part VII Three-Dimensional Applications

23 Mesh of Tetrahedra

24 Polynomials

25 Sparse Polynomials

26 Stiffness and Mass Matrices

27 Splines

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Mathematical Methods of Engineering Analysis
Erhan Cinlar,
Robert J. Vanderbei

Table of Contents 

1. Sets and Functions

2. Metric Spaces

3. Functions on Metric Spaces

4. Differential and Integral Equations

5. Convex Analysis

6. Measure and Integration

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Computer Simulation Techniques
The Definitive Introduction
by Harry Perros

Table of Contents 

Chapter 1. Introduction

Chapter 2. The generation of pseudo-random numbers

Chapter 3. The generation of stochastic variates

Chapter 4. Simulation designs

Chapter 5. Estimation techniques for analyzing endogenously created data

Chapter 6. Validation of a simulation model

Chapter 7. Variance reduction techniques

Chapter 8. Simulation projects

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An Introduction To Probability
And Random Processes
Kenneth Baclawski,
Gian-carlo Rota

Table of Contents 

1. Sets, Events And Probability

2. Finite Processes

3. Random Variables

4. Statistics And The Normal Distibution

5. Conditional Probability

6. The Poisson Process

7. Entropy And Information

8. Markov Chains

9. Markov Process And Queuing Theory

10. Brownian Motion

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