Training Workshop on Computing with MATLAB: An Indispensable Tool for Researchers, Engineers and Scientists
Event Date:
December 24, 2022
Event Time:
6:00 pm
Event Location:
Note: This event will be held only online mode
Registration Fee
Indian Participants: 200 INR
International Participants: 8 USD
Important Date(s)
last date of registration: December 15, 2022
Date of Event: December 24-30, 2022
The objective of the workshop
This workshop aims to provide a comprehensive theoretical and hands-on practical experience on MATLAB to the UG & PG students, engineers, working professionals, and research scholars so that they can use it efficiently and easily for Computational Mathematics. This workshop will provide a walking tutorial, with lots of hands-on activities, for those who are novices to MATLAB and have little or no experience in this field.
Why MATLAB?
MATLAB is used in every facet of computational mathematics. Following are some commonly used mathematical calculations where it is used most commonly −Dealing with Matrices and Arrays, 2-D and 3-D Plotting and graphics, Linear Algebra, Algebraic Equations, Non-linear Functions, Statistics, Data Analysis, Calculus and Differential Equations, Numerical Calculations, Integration, Transforms, Curve Fitting, Various other special functions
About the workshop
The workshop will be held through www.mathtechedu.com All the sessions will be hands-on practical and implementation based. Recording and presented content will be provided to each registered participant. The timing of each session will be 6:00 PM to 8:00 PM each day. Limited seats are available. A certificate to each registered participant will be given after attending successfully.
Contents
Module-I: Introduction: What is Matlab?, Why Matlab?, Matlab Components, Environment, Window, script files, programs, global and local variables, some special variables, Managing Matlab environment, Mathematical in built functions, Complex numbers, strings, string conversions, character array, string comparison, managing variables, managing workspace, the format commands.
Module-II: Basic Operations: Scalars, vectors, matrices, fetching elements, access matrix elements, indexing matrixes, submatrices, matrix manipulation, colon operators, Randomization, N-D Arrays, Array Indexing order (2-D), Linear indexing, Matrix concatenation, line space function, logspace function, special matrices, scalar arithmetic operations, array operations, vector and matrix operations, array operations for mxn matrices. Matrix transpose, relational operations, logical operators
Module-III: 2D and 3D Graphs: 2D graphs: Plotting, multigraphs, Loglog plot, semilogy, stemplot, stairs plot, plotty, comet3 command, area graph, comparing data sets with area graphs, bar plot, ezplot, ezpolar, parametric and implicit, scatter, convhull, vorono, tessellation, Delaunay. 3D graphs: 3D curve plotting Meshgrid, visualizing data, surface plotting, combining graphs, comparing graphs, contour, Mesh and contour, function of complex variable.
Module-IV: Matrices, Determinants and Solutions of System of Equations: Creating Matrices, Adding and Subtracting Matrices, Vector Products and Transpose, Multiplying Matrices, The Identity Matrix, The Kronecker Tensor Product, Vector and Matrix Norms. Inverses and Determinants, Matrix Powers and Exponential, Eigen Values and Eigen Vectors. Computational Considerations, General Solution, Square Systems, Overdetermined Systems, Underdetermined Systems
Module-V: Programming: Function, optional argument, script files, conditional statements, pseudocode and flowcharts, loops, switch, case and otherwise
Module-VI: Polynomials and Interpolations: Polynomial Function Summary, Representing Polynomials, Polynomial Roots, Characteristic Polynomials, Polynomial Evaluation, Convolution and Deconvolution, Polynomial Derivatives, Polynomial Curve Fitting,
Partial Fraction Expansion. Interpolation Function Summary, One-Dimensional Interpolation, Two-Dimensional Interpolation, Comparing Interpolation Methods, Interpolation and Multidimensional Arrays, Triangulation and Interpolation of Scattered Data, Tessellation and Interpolation of Scattered, Data in Higher Dimensions
Module-VII: Symbolic Mathematics: Differentiation, Integration, differential equations, Laplace transform
Resource Person(s):
Dr. Krunal Kachhia, Department of Mathematical Sciences, P. D. Patel Institute of Applied Sciences, Charotar University of Science & Technology, Changa, Gujarat, India
Dr. Shalu, Department of Computer Science, Baba Farid College, Bathinda, India
Dr. Amit Sharma, Department of Mathematics, Amity University, Haryana, India
Dr. Mehar Chand, Department of Mathematics, Baba Farid College, (Bathinda), India
Dr. B. S. Ratanpal, Department of Applied Mathematics, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara Gujarat, India
How to register for this event?
For registration click here, then participants need to click on buy a ticket, then signup and complete the process. All the details about the event will be updated in your account. No extra link will be sent to join the sessions. You need to log in and sign in to join the session. For more details Click here
organized by
MathTech Thinking Foundation, INDIA
(An International Association for Science, Technology, Engineering and Mathematics professionals)