Name: Raj Indian Government and Politics BA 3rd Semester PU (English Medium)
Brand: Amit Book Depot
Price: 448 INR
Availability: InStock

Raj Indian Government and Politics BA 3rd Semester PU (English Medium)

₹225.00

23 Customer Review

Dive into the world of Computer Oriented Numerical Methods with the highly acclaimed textbook, Fortune Computer Oriented Numerical Methods," authored by R.C. Joshi and published by New Academic Publishing. Specifically tailored for BCA 2nd-year students in Semester 3 at Panjab University, Chandigarh, this comprehensive guide offers a deep dive into essential topics such as numerical methods, computer arithmetic, algebraic equations, interpolation, numerical integration, and more. With a strong emphasis on practical application and theoretical foundations, this textbook equips students with the critical skills needed to excel in the field of computer science.

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Unleash the power of computational precision with the comprehensive guide, "Fortune Computer Oriented Numerical Methods." Authored by the esteemed R.C. Joshi and published by New Academic Publishing, this indispensable resource is designed for BCA 2nd-year students in Semester 3 at Panjab University, Chandigarh.

Embark on a journey through the intricate world of Computer Oriented Numerical Methods, meticulously crafted to cater to the academic needs of aspiring BCA scholars. Delving into the realms of computer arithmetic, the solution of algebraic and transcendental equations, and finite differences, this textbook offers a comprehensive exploration of key numerical concepts essential for students pursuing computer science studies.

Incorporating a blend of theory and practical application, "Fortune Computer Oriented Numerical Methods" equips students with the essential knowledge and skills required to tackle complex numerical challenges. Whether you seek to enhance your understanding of interpolation techniques, numerical integration, or empirical laws and curve fitting through least square approximations, this textbook serves as a robust learning companion throughout your academic journey.

Elevate your numerical computing proficiency, sharpen your problem-solving abilities, and expand your computational toolkit with the "Fortune Computer Oriented Numerical Methods" textbook.

Have Doubts Regarding This Product ? Ask Your Question

Q1

In which language is the book written?

A1

The book you are browsing is primarily in English medium, catering to the needs of English-speaking students. However, it is also available in Hindi and Punjabi versions, ensuring accessibility for a wider audience and providing options for students who prefer different languages for their study materials.
Q2

Can this textbook be used for self-study?

A2

Yes, this book is well-suited for self-study. It presents concepts in a clear and structured manner, making it easier for individual learners to grasp the intricacies of Indian government and politics.
Q3

Does the book align with the syllabus prescribed by Panjab University Chandigarh?

A3

Yes, the content is meticulously aligned with the syllabus for the Political Science course at Panjab University Chandigarh, ensuring relevance and thorough coverage of the required material.
Q4

How is the book structured?

A4

The book is structured into units that correspond with the syllabus, outlining key concepts followed by detailed discussions. This is complemented by chapters focused on specific political institutions and principles.
Q5

Are there any supplementary materials included in the book?

A5

Yes, the book includes Short Answer Type Questions to enhance learning and aid in exam preparation, as well as the University Question Paper from November 2023 to provide insights into exam patterns and focus areas.
Q6

How can this textbook assist in exam preparation?

A6

The inclusion of Short Answer Type Questions and a sample question paper helps reinforce learning and familiarize students with the exam format, making it an effective tool for preparation.
Q7

Can this textbook be used for self-study?

A7

Yes, this textbook is well-suited for self-study. It presents concepts in a clear and structured manner, making it easier for individual learners to grasp the intricacies of Indian government and politics.
Q8

Is there a glossary or index included in the textbook?

A8

While specific content may vary, many academic textbooks include a glossary of key terms and an index for easy reference. It's advisable to check the physical copy to confirm the presence of these features, which can be helpful for quick reviews.
Q9

How can instructors use this textbook in their teaching?

A9

Instructors can use this textbook as a primary reference for their lectures, incorporating its structured units for lesson planning. The Short Answer Type Questions can also be included in assessments, encouraging students to engage with the material more deeply.
Q10

Is it essential to have prior knowledge of Indian politics for this textbook?

A10

While prior knowledge may be beneficial, the textbook is designed to provide a foundational understanding of Indian politics, making it accessible for students at various levels of familiarity.

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1.Numerical methods & errors in computation

2.Computer arithmetic

3.Solution of algebraic and transcendental equations

4.Solution of system of equations

5.Finite differences

6.Interpolation-1(with equal intervals)

7.Interpolation-2(with unequal intervals)

8.Numerical integration

9.Empirical laws and curve fitting(least square approximations)

10.Numerical differential equation

*Appendices

Note :

i. The Questions paper will consist of four Units.

ii. Examiner will set total of NINE questions comprising TWO questions from each Unit and ONE compulsory question of short answer type covering whole syllabi.

iii. The students are required to attempt ONE question from each unit and compulsory question.

iv. All questions carry equal marks unless specified.

v.The students can use only basic type of calculator.

vi.Log tables are allowed. The same may be provided to the students for computation.

Unit - 1

Introduction to differentiation, intergration and matrix algebra.

Data representation and computer arithmetic : Introduction, Concept of Exact and approximate numbers, concept of significant digits, Representation of numbers in Memory, storage of integer numbers: signed representation, 1's Complement Representation, 2's complement representation,floating point numbers and their storage, floating point arithmetic normalization and their consequences, errors, measures of accuracy: Absolute error, relatives error and percentage error, error types: Data errors, Truncation errors, Round-off errors, Computational error, Rules, Computational error propagation: Error Propagation in Addition Operation, Subtraction operation, Multiplication operation and Division Operation.

Unit - 2

Solution of non-linear equations : introduction, types of non-linear equations: polynomial equations, Transcendental equations, methods of finding solutions of non-iterative methods: Direct method, Iterative method.

Iterative methods : Bisection method, false-position method, Secant method, newton - rasphson methods, Zeros of a polynomial using birge - vieta method. Convergence of iterative methods, Comparison between iterative methods.

Simultaneous Linear equations : Solution of Simultaneaus linear equations using direct and iterative methods: Direct methods : Gauss - Elimination method, gauss-Jordan method, Concept of Pivoting, Iterative method : Gauss - Seidal method.

Unit - 3

Interpolation : Introduction, lagrange interpolation, inverse interpolation, Finite differences: Forward differences, Backward difference table, divided difference table, observations regarding difference tables, Newton's method of interpolation : newton's forward difference interpolation formula, Newton's backward difference interpolation formula, newton's divided difference interpolation formula.

Numerical integration : introduction, newton-cotes integration formulae: trapezoidal rule, simpson's 1/3rd rule, Simpson's 3/8th rule.

Unit - 4

Approximation : Approximation of Functions: Taylor series representation, Chebyshev polynomials.

Solution of Ordinary differential equations : Introduction, Euler's method, Runga-kutta methods: 2nd order & 4th order, Predictor corrector methods: Euler's method.