Mathematics-2 : Calculus, Ordinary Differential Equations and Complex Variable. / ITL Education Solution.
Material type:
TextPublisher number: : Mathematics Department LibraryPublication details: ,Delhi : Cengage Learning ,2019Description: xi,373p. :24cmISBN: 9789387994867Subject(s): Probability and distribution | Statistics and sampling | Complex Variable Variable | CalculusDDC classification: 517.43 ITL Summary: Meant for the undergraduate students of computer science engineering, this text covers the syllabus of all course papers on computer science engineering mathematics and focuses on the use of mathematics to solve engineering problems. The content is self-contained, comprehensive and written in a lucid and easy-to-understand language that will appeal to both students and teachers. Each chapter in the book has been carefully planned to make it an effective tool to arouse the interest of the students in the study and its applications. Easy-to-follow explanations, step-by-step worked-out examples and a large number of exercise problems make this book an apt choice for students and teachers alike.
The entire subject matter of computer science engineering mathematics has been organised into 2 functional volumes. Paper 2 focuses on more advanced topics such as probability and distribution, basic and applied statistics and sampling and inferences.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Mathematics Departmental Library
|
SNU LIBRARY | 517.43 ITL (Browse shelf(Opens below)) | Available | M474 |
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| 517.39 DWI Tables of integrals and other mathematical data. | 517.4 SAG Introduction to the Calculus of Variations. | 517.43 ITL Mathematics-1 : Calculus and Linear Algebra. | 517.43 ITL Mathematics-2 : Calculus, Ordinary Differential Equations and Complex Variable. | 517.5 BHA Notes on Functional Analysis | 517.5 BHA Notes on Functional Analysis | 517.5 BHA Notes on Functional Analysis |
Meant for the undergraduate students of computer science engineering, this text covers the syllabus of all course papers on computer science engineering mathematics and focuses on the use of mathematics to solve engineering problems. The content is self-contained, comprehensive and written in a lucid and easy-to-understand language that will appeal to both students and teachers. Each chapter in the book has been carefully planned to make it an effective tool to arouse the interest of the students in the study and its applications. Easy-to-follow explanations, step-by-step worked-out examples and a large number of exercise problems make this book an apt choice for students and teachers alike.
The entire subject matter of computer science engineering mathematics has been organised into 2 functional volumes. Paper 2 focuses on more advanced topics such as probability and distribution, basic and applied statistics and sampling and inferences.
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