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Precize Computer Oriented Numerical Methods is an essential textbook for BCA 2nd year students at Punjab University, Chandigarh. Authored by G.S. Sandhu, Sukhpal Singh, Daljit Kaur, and Gulshan Kumar, this comprehensive guide covers critical topics in numerical methods, including data representation, solving non-linear and linear equations, interpolation, numerical integration, and more. With clear explanations and practical examples, it equips students with valuable skills essential for their academic and professional journeys.
This book is a comprehensive textbook designed for BCA 2nd year (Semester 3) students at Punjab University, Chandigarh. It covers various numerical computation methods used in computer science.
The textbook is authored by G.S. Sandhu, Sukhpal Singh, Daljit Kaur, and Gulshan Kumar, who have substantial expertise in the field of numerical methods and computer science.
The book includes topics such as data representation and computer arithmetic, solution methods for non-linear and simultaneous linear equations, interpolation, numerical integration, function approximation, and solutions for ordinary differential equations.
The content is structured into four units, each focusing on key aspects of numerical methods. The chapters build on one another, enabling a progressive learning approach.
The question paper will consist of four units with a total of nine questions: two questions from each unit and one compulsory short answer question that covers the entire syllabus.
Yes, students can use basic type calculators, and log tables may also be provided for computation purposes.
The book discusses several types of errors, including data errors, truncation errors, round-off errors, and computational errors, along with measures of accuracy and error propagation techniques.
The book covers several iterative methods, such as the bisection method, false-position method, secant method, and Newton-Raphson method, as well as methods for finding polynomial zeros using the Birge-Vieta approach.
The book provides in-depth discussions on interpolation techniques like Lagrange interpolation, and methods for numerical integration including the trapezoidal rule and Simpson's rules.
Function approximation is essential for simplifying complex problems. The book discusses Taylor series representation and Chebyshev polynomials, which are critical for more advanced numerical computations.
Yes, the textbook includes clear explanations and practical examples throughout each chapter to help illustrate the concepts in a practical context.
