Matrices in Action: Applications in Engineering, Science, Artificial Intelligence, and Decision Making, A 3-in-1

Author(s)
Peter Olszewski
Edition
1
Pages
414
Book Type
Academic
Retail

CHOOSE YOUR FORMAT

Help Me Choose

Paperback Book

$205.00

ISBN: 9798319706416
Details: 
Print Product

eBook

$145.00

ISBN: 9798319706423
Details: 
Electronic Delivery EBOOK - 365 days

CHOOSE YOUR FORMAT

Help Me Choose

Paperback Book

$205.00

ISBN: 9798319706416
Details: 
Print Product

eBook

$145.00

ISBN: 9798319706423
Details: 
Electronic Delivery EBOOK - 365 days

Matrices are a growing field in mathematics. More and more people are discovering the beauty and usefulness of matrices throughout academia and in industry. With the current movement of Artificial Intelligence, matrices can be used to model various different applications in engineering, cryptography, long-term forecasting, and with decision making with probabilities. Regardless of how big or small a given matrix is associated with a problem; they can offer insights with clear results to large-scale global problems down to smaller applications as in local planning departments. This book offers the student the chance to see these applications and encourages students to think beyond the scope of this book while looking at rigorous calculations. The problem sets build with various levels of techniques in each section by offering problems that work out nicely with integers to decimal answers. It is highly recommended to have a graphing calculator to perform these more in-depth calculations. Another major part of the book is it offers complete solutions for examples and exercises for all problems. This way, students can learn the solutions, which can guide them to further study. Lastly, the book offers effective study skills that can be used in a mathematics course and beyond. I truly believe that having study skills waved into class discussions and in texts offers students a new perspective on how to study and retain information instead of cramming information the night before an exam.

CHAPTER 1: Matrices and Systems of Linear Equations
1.1: Study Skill 1: Weekly Study Plan
1.2: A Brief Review of Vectors
1.3: Computations with Matrices
1.4: Systems of Linear Equations
1.5: Applications of Systems of Linear Equations
1.6: The Inverse of a Square Matrix
1.7: An Application of the Inverse Matrix
1.8: Study Skill 2: Time Management

CHAPTER 2: Vector Topics in Rn
2.1: Study Skill 3: How to Effectively Complete your Homework
2.2: Vector Spaces & Subspaces
2.3: Linear Combinations
2.4: Span
2.5: Linear Independence
2.6: Basis & Dimension
2.7: The Rank of a Matrix
2.8: Study Skill 4: How to take Effective Notes

CHAPTER 3: Determinants
3.1: Study Skill 5: How to Improve your Math Exam Scores
3.2: Determinants of a Square Matrix & Properties
3.3: Study Skill 6: How to Read a Mathematics Textbook

CHAPTER 4: Eigenvalues & Eigenvectors
4.1: Study Skill 7: Study-Time Goals: Boosting Math Success Through Goal-Oriented Studying
4.2: Eigenvalues & Characteristic Polynomials
4.3: Eigenvectors
4.4: Diagonalization
4.5: Applications of Eigenvalues & Eigenvectors
4.6: Complex Eigenvalues & Eigenvectors
4.7: Study Skill 8: First Mathematics is Important: Why Ace That First Math Exam Matters

Peter Olszewski

Peter Olszewski is an Assistant Professor of Mathematics at Embry-Riddle Aeronautical University. His academic interests include matrices, artificial intelligence, mathematics education, Cayley color graphs, Markov chains, and the development of innovative mathematical textbooks. His work reflects a strong commitment to clarity, rigor, and helping students build deep conceptual understanding.

In addition to his research and teaching, Prof. Olszewski is dedicated to making mathematics accessible and engaging for learners at all levels. This textbook reflects his passion for effective instruction and practical application of mathematical ideas.

Outside the classroom, he enjoys playing golf, performing on guitar and bass, reading, traveling, and painting landscapes. He especially values time spent with his two-year-old son, Samuel, whose curiosity and energy continually inspire him.

Matrices are a growing field in mathematics. More and more people are discovering the beauty and usefulness of matrices throughout academia and in industry. With the current movement of Artificial Intelligence, matrices can be used to model various different applications in engineering, cryptography, long-term forecasting, and with decision making with probabilities. Regardless of how big or small a given matrix is associated with a problem; they can offer insights with clear results to large-scale global problems down to smaller applications as in local planning departments. This book offers the student the chance to see these applications and encourages students to think beyond the scope of this book while looking at rigorous calculations. The problem sets build with various levels of techniques in each section by offering problems that work out nicely with integers to decimal answers. It is highly recommended to have a graphing calculator to perform these more in-depth calculations. Another major part of the book is it offers complete solutions for examples and exercises for all problems. This way, students can learn the solutions, which can guide them to further study. Lastly, the book offers effective study skills that can be used in a mathematics course and beyond. I truly believe that having study skills waved into class discussions and in texts offers students a new perspective on how to study and retain information instead of cramming information the night before an exam.

CHAPTER 1: Matrices and Systems of Linear Equations
1.1: Study Skill 1: Weekly Study Plan
1.2: A Brief Review of Vectors
1.3: Computations with Matrices
1.4: Systems of Linear Equations
1.5: Applications of Systems of Linear Equations
1.6: The Inverse of a Square Matrix
1.7: An Application of the Inverse Matrix
1.8: Study Skill 2: Time Management

CHAPTER 2: Vector Topics in Rn
2.1: Study Skill 3: How to Effectively Complete your Homework
2.2: Vector Spaces & Subspaces
2.3: Linear Combinations
2.4: Span
2.5: Linear Independence
2.6: Basis & Dimension
2.7: The Rank of a Matrix
2.8: Study Skill 4: How to take Effective Notes

CHAPTER 3: Determinants
3.1: Study Skill 5: How to Improve your Math Exam Scores
3.2: Determinants of a Square Matrix & Properties
3.3: Study Skill 6: How to Read a Mathematics Textbook

CHAPTER 4: Eigenvalues & Eigenvectors
4.1: Study Skill 7: Study-Time Goals: Boosting Math Success Through Goal-Oriented Studying
4.2: Eigenvalues & Characteristic Polynomials
4.3: Eigenvectors
4.4: Diagonalization
4.5: Applications of Eigenvalues & Eigenvectors
4.6: Complex Eigenvalues & Eigenvectors
4.7: Study Skill 8: First Mathematics is Important: Why Ace That First Math Exam Matters

Peter Olszewski

Peter Olszewski is an Assistant Professor of Mathematics at Embry-Riddle Aeronautical University. His academic interests include matrices, artificial intelligence, mathematics education, Cayley color graphs, Markov chains, and the development of innovative mathematical textbooks. His work reflects a strong commitment to clarity, rigor, and helping students build deep conceptual understanding.

In addition to his research and teaching, Prof. Olszewski is dedicated to making mathematics accessible and engaging for learners at all levels. This textbook reflects his passion for effective instruction and practical application of mathematical ideas.

Outside the classroom, he enjoys playing golf, performing on guitar and bass, reading, traveling, and painting landscapes. He especially values time spent with his two-year-old son, Samuel, whose curiosity and energy continually inspire him.

Other Titles from this Author(s)

No other titles found of this author