Computer Algebra Systems & Related Software Notes PDF

Free Computer Algebra Systems & Related Software notes pdf are provided here for Computer Algebra Systems & Related Software students so that they can prepare and score high marks in their Computer Algebra Systems & Related Software exam.

In these free Computer Algebra Systems & Related Software notes pdf, we will study the usage of computer algebra systems (/Mathematica/MATLAB/Maxima/Maple) and the statistical software R. The basic emphasis is on plotting and working with matrices using CAS. Data entry and summary commands will be studied in R. Graphical representation of data shall also be explored.

We have provided complete Computer Algebra Systems & Related Software handwritten notes pdf for any university student of BCA, MCA, B.Sc, B.Tech, M.Tech branch to enhance more knowledge about the subject and to score better marks in their Computer Algebra Systems & Related Software exam.

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Topics in our Computer Algebra Systems & Related Software Notes PDF

The topics we will cover in these Computer Algebra Systems & Related Software Notes PDF will be taken from the following list:

Introduction to CAS and Applications: Computer Algebra System (CAS), Use of a CAS as a calculator, Computing and plotting functions in 2D, Plotting functions of two variables using Plot3D and ContourPlot, Plotting parametric curves surfaces, Customizing plots, Animating plots, Producing tables of values, working with piecewise-defined functions, Combining graphics.

Working with Matrices: Simple programming in a CAS, Working with matrices, Performing Gauss elimination, operations (transpose, determinant, inverse), Minors and cofactors, Working with large matrices, Solving system of linear equations, Rank and nullity of a matrix, Eigenvalue, eigenvector and diagonalization.

R – The Statistical Programming Language: R as a calculator, Explore data and relationships in R. Reading and getting data into R: Combine and scan commands, Types, and structure of data items with their properties, Manipulating vectors, Data frames, Matrices, and lists, Viewing objects within objects, Constructing data objects and conversions.

Data Analysis with R: Summary commands: Summary statistics for vectors, Data frames, Matrices and lists, Summary tables, Stem and leaf plot, Histograms, Plotting in R: Box-whisker plots, Scatter plots, Pairs plots, Line charts, Pie charts, Cleveland dot charts and bar charts, Copy and save graphics to other applications.

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