Virendra Singh

Matrix and its typesTranspose of matrixSimple operation on matrixSingular matrix, idempotent matrix , orthogonal matrix and involutory matrix etc.Trace of matrixDeterminant of matrixSystem of linear equationsEigen values and eigen vectorsProb

Crack CSIR NET by studying MATHEMATICS, PHYSICS, LIFE SCIENCE, CHEMISTRY, EARTH SCIENCE on one online platform. Everything you need to crack JRF.

CSIR-UGC NET

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General aptitude/ Mathematics for CSIR NET

Data Interpretation

General Aptitude

Common Subject

NET Exams

Ace the toughest competitive and government exams in India 

Test Preparation

Mathematics includes the study of such topics as quantity, structure, space, and change. Mathematicians seek and use patterns to formulate new conjectures; they resolve the truth or falsity of conjectures by mathematical proof.

Course Overview

Linear algebra is the branch of mathematics concerning linear equations such as. linear functions such as. and their representations through matrices and vector spaces. Linear algebra is central to almost all areas of mathematics.

Linear Algebra: Matrix and Transpose of Matrix

Linear Algebra: Basic Operation on Matrix

In linear algebra, the determinant is a value that can be computed from the elements of a square matrix. The determinant of a matrix A isdenoted det(A), det A, or. A. . Geometrically, it can be viewed as the volume scaling factor of the linear transformation described by the matrix.

Linear Algebra: Determinant of Matrix

Linear Algebra: System of Linear Equations

Linear Algebra: Rank of Matrix

Linear Algebra: Idempotent, Involutory, invertible and Adjoint Matrix

Geometrically, an eigenvector, corresponding to a real nonzero eigenvalue, points in a direction that is stretched by the transformation and the eigenvalue is the factor by which it is stretched. If the eigenvalue is negative, the direction is reversed

Linear Algebra :Eigenvalues and Eigenvectors

In mathematics, a series is, roughly speaking, a description of the operation of adding infinitely many quantities, one after the other, to a given starting quantity. The study of series is a major part of calculus and its generalization, mathematical analysis.

Series: Test of Divergence and Convergence, Maxima and Minima

Series : Arithmetic and Geometric Progessions

Statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied

Statistics

In mathematics, the Laplace transform is an integral transform named after its inventor Pierre-Simon Laplace (/ləˈplɑːs/). It takes a function of a real variable t (often time) to a function of a complex variable s (complex frequency). The Laplace transform is very similar to the Fourier transform.

Laplace Transforms

Probability is the measure of the likelihood that an event will occur. See glossary of probability and statistics. Probability quantifies as a number between 0 and 1, where, loosely speaking, 0 indicates impossibility and 1 indicates certainty

Probability: Cards

Probability: Dice

Limits describe how a function behaves near a point, instead of at that point. This simple yet powerful idea is the basis of all of calculus.

Limits, Differentiation and Integration

numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm.

Numerical Methods

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Surbhi Upadhyay

all questions of part-a of csir net physical science are solved with detailed description

(Hindi) CSIR-UGC NET JUNE 2019 Part-A Solutions Physical Science

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CSIR-UGC Net qualified  AIR-26| IIT JAM qualified | 6+ years of teaching experience| Guided 100+ qualified candidat

Ravi Mittal

In this course i will discuss solution of part A of csir ugc net june 2019 question booklet B

(Hindi) Solution of Part A CSIR-UGC NET June 2019

Author of Book- Mind Maps for Life Sciences, Qualified CSIR-NET,GATE XL,BT, REET, MPAT 2 times Rank 1, Guided  30k+ Students

Neha Taneja

This course deals with tips & tricks of some general aptitude topics that are usually asked in many competitive exams. Mastering in such tricks will help to gain maximum marks in minimum time duration.

(Hindi) Tricks to solve General Aptitude Questions

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YT-Deepshikha Goswami🌈

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Deepshikha Goswami

In this course, the educator will mention the most important topics of each unit of the syllabus from where you can expect questions in the upcoming exam. These are based on analysis of previous year papers.

Lessons

16 lessons • 2h 13m

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Course Overview

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Linear Algebra: Matrix and Transpose of Matrix

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Linear Algebra: Basic Operation on Matrix

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Linear Algebra: Determinant of Matrix

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Linear Algebra: System of Linear Equations

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Linear Algebra: Rank of Matrix

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Linear Algebra: Idempotent, Involutory, invertible and Adjoint Matrix

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Linear Algebra :Eigenvalues and Eigenvectors

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Series: Test of Divergence and Convergence, Maxima and Minima

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Series : Arithmetic and Geometric Progessions

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