"MATLAB: A Fundamental Tool for Scientific Computing and Engineering Applications, Volume 3" ed. by Vasilios N. Katsikis

This excellent book represents the final part of three-volumes regarding MATLAB-based applications in almost every branch of science.

The book consists of three parts,
the first one is devoted to mathematical methods in the applied sciences by using MATLAB,
the second is devoted to MATLAB applications of general interest and
the third one discusses MATLAB for educational purposes.
This collection of high quality articles, refers to a large range of professional fields and can be used for science as well as for various educational purposes.

Contents
Preface
Section 1. Mathematical Methods in the Applied Sciences
1 Simulation of Piecewise Hybrid Dynamical Systems in Matlab
2 Robust Control of Distributed Parameter Systems with Demonstration in Casting Technology and MATLAB/5imulink/DPS Blockset Software Support
3 Fouling in Heat Exchangers
4 Optimal Solution to Matrix Riccati Equation - For Kalman Filter Implementation
5 Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing
6 Fuzzv Analytical Network Process Implementation with Matlab
7 Fractal Dimension Estimation Methods for Biomedical Images
3 MATLAB Aided Option Replication
9 Convolution Kernel for Fast CPU/GPU Computation of 2D/3D Isotropic Gradients on a Square/Cubic Lattice
Section 2. MATLAB General Applications
10 MATLAB/Simulink-Based Grid Power Inverter for Renewable Energy Sources Integration
11 Model-Based Simulation of an Intelligent Microprocessor-Based Standalone Solar Tracking System
12 Micro-Robot Management
13 Micro-Robot Management
Section 3. MATLAB for Educational Purposes
14 Education of Future Advanced Matlab Users
15 Using MATLAB in the Teaching and Learning of Semiconductor Device Fundamentals
16 An Interactive Tool for Servo Systems Learning
17 Illustrating Amazing Effects of Modern Physics with Numerical Simulations Conducted in the Classroom
18 The MatLabTM Software Application for Electrical Engineering Simulations and Power System
19 Using a Low Complexity Numeric Routine for Solving Electromagnetic Transient Simulations