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Lab/Experiment Hosting Request for Numerical Methods - Optimization #1192

@jaimathur

Description

@jaimathur

Lab/Experiment(s) Hosting Request

Use this issue to get your lab and experiment repositories hosted on Virtual Labs. This issue also is used to host labs and their experiments that have been migrated to Phase 3 lab/exp format from Phase 2.

Please provide item 1 for all the experiments of the lab

  1. Hosting Unit:
No. Experiment Name Experiment Repository URL Branch/Tag
1. Numerical Methods in Chemical Engineering-Optimization-Jacobians and Hessians https://github.com/virtual-labs/exp-optimization-jacobians-hessians-iitb v1.0.0
2. Numerical Methods in Chemical Engineering-Optimization-Charactertizing extrema https://github.com/virtual-labs/exp-charactertizing-extrema-iitb v1.0.0
3. Numerical Methods in Chemical Engineering-Optimization-Interval methods: Bisection https://github.com/virtual-labs/exp-interval-bisection-iitb v1.0.0
4. Numerical Methods in Chemical Engineering-Optimization-Interval methods: Golden Search https://github.com/virtual-labs/exp-interval-golden-search-iitb v1.0.0
5. Numerical Methods in Chemical Engineering-Optimization-Newton's method https://github.com/virtual-labs/exp-optimization-newtons-method-iitb v1.0.0
6. Numerical Methods in Chemical Engineering-Optimization-Steepest Descent https://github.com/virtual-labs/exp-optimization-steepest-descent-iitb v1.0.0
  1. GitHub Handle: @jaimathur @pushpdeep

  2. Virtual Lab Phase: Ext 3

  3. Existing Hosted URL: NA

  4. Approved Proposal & Hosting Approval Mail:
    LDC_Review_Optimization.pdf
    DXP1_Review_Optimization.pdf
    DXP2_Review_Optimization.pdf
    Approval_Mail_Optimization.pdf

  5. Introduction:
    Numerical Methods is the branch of mathematics to find numerical solutions to complex Mathematical problems. Most Mathematical problems from science and engineering are very complex and sometimes challenging to solve directly. Due to the great advances in computational technology, numerical methods have become very popular and is a modern tool for scientists and engineers. As a result, many software programs are being developed such as Matlab, Mathematica, Maple etc. the most difficult problems in an effective and simple way. These software's contain functions that use standard numeric methods, in which the user can bypass the required parameters and obtain the results in a single command without knowing the numerical details. Its procedural oriented approach makes easy to write computer algorithm.

  6. Objective:

  • To provide support to the classroom teaching to understand the Numerical Methods in a better way.
  • To provide application based approaches in chemical engineering which will help to solve problems at better accuracy rather than trial and error approach.
  • To provide a virtual environment for the students to learn and practice on its own.
  • To provide students to learn on their own pace concept.
  • Students will be able to analyze and select suitable methods to find the solution in chemical engineering.
  • Students will be able to write programs to solve the application based problems in chemical engineering.
  • Pre-test and post-test will provide the students to gauge their performance.
  • Theory will provide deep inside of the numerical methods in chemical engineering.
  1. Course Alignment:
  • PCC-CS107: Numerical Methods in Chemical Engineering
  • Mumbai University
  • SPPU, Pune
  • The Maharaja Sayajirao University of Baroda
  1. Target Audience: UG, PG
  2. Discipline: Chemical Engineering
  3. Name of the Lab: Optimization

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