-
Mon-Fri: 10AM to 8PM 01722665665
-
My Account
-
-
0
Total :
₹ 0.00
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.
Dive into the intricate and essential world of numerical computations with *Precize Computer Oriented Numerical Methods*, a seminal publication that serves confidently as a textbook for BCA 2nd year students at Punjab University, Chandigarh. Authored by the experienced team of G.S. Sandhu, Sukhpal Singh, Daljit Kaur, and Gulshan Kumar, this book is meticulously designed to meet the educational needs of students navigating the complexities of computer-oriented numerical methods in their third semester.
As the demand for computational skills continues to grow in today's tech-driven world, understanding numerical methods has become increasingly vital for students pursuing careers in computer science and related fields. This textbook offers a comprehensive approach to the subject, helping readers develop both theoretical knowledge and practical expertise. Each chapter is thoughtfully structured, introducing concepts that build upon one another, allowing students to progress seamlessly through the material.
Beginning with foundational principles, *Precize Computer Oriented Numerical Methods* lays the groundwork for understanding how data is represented and manipulated within computer systems. The initial sections guide students through the nuances of computer arithmetic, enabling them to grasp essential calculations that serve as the backbone for more complex methodologies. By establishing a solid understanding of these preliminary concepts, students are prepared to tackle later topics with confidence.
The book skillfully covers a variety of pivotal topics, including the solution of non-linear equations and simultaneous linear equations, which are essential for solving real-world problems using numerical methods. These chapters employ clear explanations and practical examples, allowing students to develop a robust skill set that is directly applicable in various academic and professional contexts.
Interpolation and numerical integration are explored in-depth, equipping students with critical techniques for estimating values and calculating areas under curves. Such methods are invaluable not only in scientific research but also in engineering applications, making this knowledge integral to any programmer's toolkit. Moreover, the approach to function approximation addresses the necessity of simplifying complex problems, fostering essential analytical thinking skills.
As the course progresses, readers will encounter ordinary differential equations, a topic that is crucial for understanding dynamic systems and modeling real-world phenomena. This holistic coverage ensures that BCA students are well-prepared to meet the expectations of their coursework and future professional challenges.
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.
