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The Pearson Guide to Objective Mathematics for Engineering Entrance Examinations 7.0%OFF

The Pearson Guide to Objective Mathematics for Engineering Entrance Examinations

by J. K. Sharma, Dinesh Khattar and Anita Khattar

  • ISBN

    :  

    9788131723630

  • Publisher

    :  

    Pearson Education

  • Subject

    :  

    Entrance Exams

  • Binding

    :  

    Paperback

  • Pages

    :  

    1248

  • Year

    :  

    2010

650.0

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  • Description

    This edition of The Pearson Guide to Objective Mathematics for Engineering Entrance Examinations has been completely revised as per the requirements of the latest syllabi. Each chapter contains concise definitions and explanations of fundamental principles, and illustrative examples further augment the understanding of concepts. Retaining the basic structure that made the text a success, this edition also includes new questions from recent examination papers of various engineering entrance tests. Features Basic concepts are explained in a very lucid and simple way so that even beginners have no difficulty in grasping the fundamental concepts. Fully worked-out solutions to a large number of problems, and working rules for problem solving are provided. Practice exercises covering all the topics are provided at the end of each chapter. Ten model test papers based on different competitive examinations are provided to familiarize students with the various patterns of the examinations. Table Of Contents Functions Limits Continuity and Differentiability Differentiation Applications of Derivatives Indefinite Integration Definite Integral and Area Differential Equations Coordinates and Straight Lines Pair of Straight Lines Circles Conic Sections Complex Numbers Sequences and Series Quadratic Equations and In equations Permutations and Combinations Binomial Theorem Exponential and Logarithmic Series Matrices Determinants Trigonometric Ratios and Identities Trigonometric Equations Inverse Trigonometric Functions Properties and Solutions Triangles Heights and Distances Probability Statistics Vectors Three Dimensional Geometry Static’s Dynamics Set Theory Numerical Methods Linear Programming Hyperbolic Functions

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