Objective

Computational science is a blend of applications, computations and mathematics. It is a mode of scientific investigation that supplements the traditional laboratory and theoretical methods of acquiring knowledge. This is done by formulating mathematical models whose solutions are approximated by computer simulations. By making a sequence of adjustments to the model and subsequent computations one can gain some insights into the application area under consideration. The main objective of the training workshop is to provide a comprehensive overview of Mathematical Modeling with MATLAB  The workshop will provide an excellent opportunity for participants to meet and exchange ideas of common interests and to discuss new challenges faced by our academic community working in this area from different institutions and universities around the world. The training will motivate and educate the participants to develop computing skills among themselves. The procedure we intend to use in achieving this is by having resource persons who are knowledgeable in this field with on hands examples and applications. Our desire is to leave an impact on the participants to help them in the field of Computing Numerical Methods with applications.

About the workshop

The training workshop will be in Virtual Mode. There will be one session of two hours per day dealing with hands-on practicals. All the content presented in the training workshop will be shared with all the registered participants. Only the registered participants can attend this workshop and a certificate of participation will be awarded after attending the training workshop successfully.

1. There will be a two-hour practical session per day through Zoom inbuilt into MathTechEdu, if in any case you missed the session, we will provide you the same recorded session for all to use in the future.
2. Presented contents (PPT) and script files of each programming in Python will be provided to all on the same day for more understanding and use.
3. Face to Face Interaction with all the participants.
4. Open environment to discuss and clear doubts.
5. In the end, we organize one special session on problem-based.

Why is 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

Who can participate?

The targeted audience includes research scholars, National and International faculty members from Universities/ Institutes, Engineers, people from academia, and  Under Graduate & Post Graduate Students

Contents for training

Discrete Time-Space Models: Newton Cooling Models; Heat Diffusion in a Wire; Diffusion in a Wire with Little Insulation; Flow and Decay of a Pollutant in a Stream; Heat and Mass Transfer in Two Directions; Convergence Analysis

Steady State Discrete Models: Steady State and Triangular Solves; Heat Diffusion and Gauss Elimination; Cooling Fin and Tridiagonal Matrices; Schur Complement; Convergence to Steady State; Convergence to Continuous Model

Poisson Equation Models: Steady State and Iterative Methods; Heat Transfer in 2D Fin and SOR; Fluid Flow in a 2D Porous Medium; Ideal Fluid Flow; Deformed Membrane and Steepest Descent; Conjugate Gradient Method

Nonlinear and 3D Models: Nonlinear Problems in One Variable;  Nonlinear Heat Transfer in a Wire; Nonlinear Heat Transfer in 2D; Steady State 3D Heat Diffusion; Time-Dependent 3D Diffusion; High-Performance Computations in 3D

Epidemics, Images, and Money: Epidemics and Dispersion; Epidemic Dispersion in 2D; Image Restoration; Restoration in 2D; Option Contract Models; Black-Scholes Model for Two Assets

Speakers

Prof. Mehar Chand, Department of Mathematics, Faculty of Computational and Mathematical Sciences, Baba Farid College, Bathinda, Punjabi University, Patiala, India

Dr. Amarnath Chatterjee, Department of Mathematics, K.L.S. College, Nawada, Magadh University, Bodh Gaya (Bihar), India

Mr. Santosh Kumar, Department of Mathematics, K.L.S. College, Nawada, Magadh University, Bodh Gaya (Bihar), India

Important Dates

Registration Starts: February 20, 2023

last Date of registration: April 15, 2023

Extended date for registration: April 30, 2023

Revised Date for registration: 12 May 2023

Event Date: May 01-07, 2023

Revised date of the event: 15-21 May 2023

Timing: 19:00 to 21:00 (IST)

Registration Fee

Registration Fee for Faculty, Scholar, and Students: 500 INR

Registration Fee for MTTF Members: 300 INR

Registration Click here

Organized by

MTTF-Society of Mathematical Modelling

under the aegis of

MathTech Thinking Foundation (INDIA)