IGNOU MST 22 SOLVED ASSIGNMENT
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MST 22: Linear Algebra and Multivariate Calculus
| Title Name | IGNOU MST 22 SOLVED ASSIGNMENT |
|---|---|
| Type | Soft Copy (E-Assignment) .pdf |
| University | IGNOU |
| Degree | MASTER DEGREE PROGRAMMES |
| Course Code | MSCAST |
| Course Name | M.Sc. (Applied Statistics) |
| Subject Code | MST 22 |
| Subject Name | Linear Algebra and Multivariate Calculus |
| Year | 2025 |
| Session | - |
| Language | English Medium |
| Assignment Code | MST 22/Assignment-1/2025 |
| Product Description | Assignment of MSCAST (M.Sc. (Applied Statistics)) 2025. Latest MST 022 2026 Solved Assignment Solutions |
| Last Date of IGNOU Assignment Submission | Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam). Semester Wise January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam). July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam). |
| Format | Ready-to-Print PDF (.soft copy) |
📅 Important Submission Dates
- January 2025 Session: 31st October, 2025
- July 2025 Session: 30th April, 2025
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MST 022 (January 2025 - July 2025) - ENGLISH
TUTOR MARKED ASSIGNMENT
MST-022: Linear Algebra and Multivariate Calculus
Course Code: MST-022
Assignment Code: MST-022/TMA/2025
Maximum Marks: 100
Note: All questions are compulsory. Answer in your own words.
1. (a) Using Gram Schmidt orthogonalisation process find orthogonal basis for the subspace of IR
(b) Gradient of the functionat the point P(1, 2) is:
(c) Using Taylor’s formula forr the quadratic approximation of f(x, y) near origin is:
2. Obtain SVD of the matrix
3. Find the greatest and smallest values that the function takes on the ellipse
using the Method of Lagrange Multipliers,
4.be an inner product space over the field
.We are expecting that variables x and y are related by a relation of the form
Values of theordered pair (x, y) were observed and are shown in Fig. 1 by points A, B and C. Obtain the least square solution of the problem. Also, visualise your solution.
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