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Computer Based Numerical & Statistical Techniques

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Title: Computer Based Numerical & Statistical Techniques
Description: The underlying object of this book is to provide the reader with the thorough understanding of topics included in the syllabus of Computer Based Numerical & Statistical Techniques for engineering and MCA students. The salient features of the book are as follows: It exactly covers the prescribed syllabus. Nothing undesirable has been included and nothing essential has been left. Its approach is explanatory and language is lucid and communicable. The exposition of the subject matter is systematic and the students are better prepared to prove the problems. All fundamentals of the included topics are explained with a micro-analysis. Sufficient number of solved examples have been given to let the students understand the various skills necessary to solve the problems. These examples are well graded. Unsolved exercises of multi-varieties have been given in a well graded style. Attempting these on their own, will enable a student to create confidence and independence in him/her regarding the understanding of the subject. Daily life problems and practical applications have been incorporated in the body of the text. A large number of attractive and accurate figures have been drawn which enable a student to grasp the subject in an easier way. All the answer have been checked and verified.
Authors: Dr Manish Goyal
Resource Type: eBook.
Subjects: Engineering mathematics--Data processing
Categories: COMPUTERS / Mathematical & Statistical Software, EDUCATION / Schools / Levels / Higher, MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1223916
RelevancyScore: 1077
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1077.00524902344
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  Data: The underlying object of this book is to provide the reader with the thorough understanding of topics included in the syllabus of Computer Based Numerical & Statistical Techniques for engineering and MCA students. The salient features of the book are as follows: It exactly covers the prescribed syllabus. Nothing undesirable has been included and nothing essential has been left. Its approach is explanatory and language is lucid and communicable. The exposition of the subject matter is systematic and the students are better prepared to prove the problems. All fundamentals of the included topics are explained with a micro-analysis. Sufficient number of solved examples have been given to let the students understand the various skills necessary to solve the problems. These examples are well graded. Unsolved exercises of multi-varieties have been given in a well graded style. Attempting these on their own, will enable a student to create confidence and independence in him/her regarding the understanding of the subject. Daily life problems and practical applications have been incorporated in the body of the text. A large number of attractive and accurate figures have been drawn which enable a student to grasp the subject in an easier way. All the answer have been checked and verified.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 620.00151
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Engineering mathematics--Data processing
        Type: general
    Titles:
      – TitleFull: Computer Based Numerical & Statistical Techniques
        Type: main
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          Name:
            NameFull: Dr Manish Goyal
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            NameFull: Dr Manish Goyal
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 31
              M: 08
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9789381159279
            – Type: isbn-electronic
              Value: 9781944131388
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            – TitleFull: Computer Based Numerical & Statistical Techniques
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