Scientific Computing with MATLAB, Second Edition

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9781498757775: Scientific Computing with MATLAB, Second Edition
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Enhance Your Students’ Mathematical Problem-Solving Ability

Scientific Computing with MATLAB®, Second Edition improves students’ ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor Solving Applied Mathematical Problems with MATLAB® while expanding and updating the content of each chapter.

Based on the authors’ extensive teaching, research, and industrial experiences, the text adheres to the following course sequence:

  • An overview of the computer languages suitable for mathematics
  • Fundamentals of MATLAB programming
  • Calculus problems
  • Linear algebra problems
  • Integral transforms and complex variable functions
  • Nonlinear equations and optimization problems
  • Differential equations problems
  • Data interpolation and functional approximation problems
  • Probability and statistics problems
  • Nontraditional methods, such as fuzzy logic, rough sets, neural networks, evolution algorithms, wavelets, and fractional calculus

The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material.

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From the Author:

Boo service web has 1000+ ppts. mechatronics.ucmerced.edu/Scientific-Computing-with-MATLAB-2ndEd

About the Author:

Dingyü Xue is a professor of control engineering in the College of Information Science and Engineering at Northeastern University in China. Dr. Xue is the author or coauthor of many books on MATLAB®-based control, simulation, and mathematical problem solutions, including Computer Aided Control Systems Design with MATLAB, Solving Advanced Applied Mathematical Problems Using MATLAB, and System Simulation Techniques with MATLAB and Simulink. His current research interests include CAD of control systems, system simulation, and fractional order control. He earned his D.Phil. from Sussex University.

YangQuan Chen is the director and founder of the Mechatronics, Embedded Systems and Automation (MESA) Lab in the School of Engineering at the University of California, Merced. He is the topic editor-in-chief of field robotics for the International Journal of Advanced Robotic Systems, a founding editorial board member of Unmanned Systems, and an editorial board member of several other leading journals. Dr. Chen is also the author or coauthor of many books, including Distributed-Order Dynamic Systems: Stability, Simulation, Applications and Perspectives, Fractional Order Motion Controls, Remote Sensing and Actuation Using Unmanned Vehicles, System Simulation Techniques with MATLAB and Simulink, and Modeling, Analysis and Design of Control Systems in MATLAB and Simulink. His research interests include unmanned aerial systems and UAV-based personal remote sensing, cyber-physical systems, the modeling and control of renewable energy systems, mechatronics, and applied fractional calculus. He earned his Ph.D. from Nanyang Technological University.

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Book Description Taylor Francis Inc, United States, 2016. Hardback. Condition: New. 2nd Revised edition. Language: English . Brand New Book. Enhance Your Students Mathematical Problem-Solving Ability Scientific Computing with MATLAB(R), Second Edition improves students ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor Solving Applied Mathematical Problems with MATLAB(R) while expanding and updating the content of each chapter. Based on the authors extensive teaching, research, and industrial experiences, the text adheres to the following course sequence: * An overview of the computer languages suitable for mathematics * Fundamentals of MATLAB programming * Calculus problems * Linear algebra problems * Integral transforms and complex variable functions * Nonlinear equations and optimization problems * Differential equations problems * Data interpolation and functional approximation problems * Probability and statistics problems * Nontraditional methods, such as fuzzy logic, rough sets, neural networks, evolution algorithms, wavelets, and fractional calculus The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material. Seller Inventory # AAZ9781498757775

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Book Description Taylor Francis Inc, United States, 2016. Hardback. Condition: New. 2nd Revised edition. Language: English . Brand New Book. Enhance Your Students Mathematical Problem-Solving Ability Scientific Computing with MATLAB(R), Second Edition improves students ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor Solving Applied Mathematical Problems with MATLAB(R) while expanding and updating the content of each chapter. Based on the authors extensive teaching, research, and industrial experiences, the text adheres to the following course sequence: * An overview of the computer languages suitable for mathematics * Fundamentals of MATLAB programming * Calculus problems * Linear algebra problems * Integral transforms and complex variable functions * Nonlinear equations and optimization problems * Differential equations problems * Data interpolation and functional approximation problems * Probability and statistics problems * Nontraditional methods, such as fuzzy logic, rough sets, neural networks, evolution algorithms, wavelets, and fractional calculus The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material. Seller Inventory # AAZ9781498757775

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