A Textbook of B.Sc. Mathematics Solid Geometry PDF Download
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S Anjaneya Sastry, S Ranganatham & Dr. R Bharavi Sharma. Download full books in PDF and EPUB format.
Author: V Venkateswara Rao, N Krishnamurthy, B V S S Sarma
S Anjaneya Sastry, S Ranganatham & Dr. R Bharavi Sharma Publisher: S. Chand Publishing ISBN: 9352835301 Category : Science Languages : en Pages : 200
Book Description
This Textbook of B.Sc Mathematics is for the students studying Third year First semester in all universities of Telangana State. The revised syllabus is being adopted by all the universities in Telangana State, following Common Core model curriculum from the academic year 2016 - 2017 based on CBCS (Choice Based Credit System). This book strictly covers the new curriculum for Semester V (3rd year, 1st semester-Elective). Solutions are provided for the questions of Practical Question Bank. Key for the exercise problems appended at the end.
Author: V Venkateswara Rao, N Krishnamurthy, B V S S Sarma
S Anjaneya Sastry, S Ranganatham & Dr. R Bharavi Sharma Publisher: S. Chand Publishing ISBN: 9352835301 Category : Science Languages : en Pages : 200
Book Description
This Textbook of B.Sc Mathematics is for the students studying Third year First semester in all universities of Telangana State. The revised syllabus is being adopted by all the universities in Telangana State, following Common Core model curriculum from the academic year 2016 - 2017 based on CBCS (Choice Based Credit System). This book strictly covers the new curriculum for Semester V (3rd year, 1st semester-Elective). Solutions are provided for the questions of Practical Question Bank. Key for the exercise problems appended at the end.
Author: V Venkateswara Rao, N Krishnamurthy, B V S S Sarma
S Anjaneya Sastry & S Ranganatham Publisher: S. Chand Publishing ISBN: 9352836278 Category : Science Languages : en Pages : 384
Book Description
This book has been thoroughly revised according to the syllabus of 1st year's 2nd semester students of all universities in Andhra Pradesh. The revised syllabus is being adopted by all the universities in Andhra Pradesh, following Common Core Syllabus 2015-16 (revised in 2016) based on CBCS. This book strictly covers the new curriculum for 1st year, 2nd semester of the theory as well as practical.
Author: Abraham Adrian Albert Publisher: Courier Dover Publications ISBN: 0486814688 Category : Mathematics Languages : en Pages : 178
Book Description
Concise text covers basics of solid analytic geometry and provides ample material for a one-semester course. Additional chapters on spherical coordinates and projective geometry suitable for longer courses or supplementary study. 1949 edition.
Author: John Stillwell Publisher: Springer Science & Business Media ISBN: 0387255303 Category : Mathematics Languages : en Pages : 240
Book Description
This book is unique in that it looks at geometry from 4 different viewpoints - Euclid-style axioms, linear algebra, projective geometry, and groups and their invariants Approach makes the subject accessible to readers of all mathematical tastes, from the visual to the algebraic Abundantly supplemented with figures and exercises
Author: William H. McCrea Publisher: Courier Corporation ISBN: 0486154882 Category : Mathematics Languages : en Pages : 156
Book Description
Geared toward advanced undergraduates and graduate students, this text covers the coordinate system, planes and lines, spheres, homogeneous coordinates, general equations, quadric in Cartesian coordinates, and intersection of quadrics. 1947 edition.
Author: Marc Peter Deisenroth Publisher: Cambridge University Press ISBN: 1108569323 Category : Computers Languages : en Pages : 392
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: V Venkateswara Rao, N Krishnamurthy, B V S S Sarma
S Anjaneya Sastry, S Ranganatham & Dr. R Bharavi Sharma
Author: V Venkateswara Rao, N Krishnamurthy, B V S S Sarma
S Anjaneya Sastry, S Ranganatham & Dr. R Bharavi Sharma
Author: V Venkateswara Rao, N Krishnamurthy, B V S S Sarma
S Anjaneya Sastry & S Ranganatham
Author: Shanti Narayan
Author: Abraham Adrian Albert
Author: S. Pirzada And T.A. Chishti
Author: John Stillwell
Author: Clara Avis Hart
Author: William H. McCrea
Author: Shanti Narayan | PK Mittal
Author: Marc Peter Deisenroth