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Mathematical Analysis
  • Language: en
  • Pages: 584

Mathematical Analysis

A self-contained introduction to the fundamentals of mathematical analysis Mathematical Analysis: A Concise Introduction presents the foundations of analysis and illustrates its role in mathematics. By focusing on the essentials, reinforcing learning through exercises, and featuring a unique "learn by doing" approach, the book develops the reader's proof writing skills and establishes fundamental comprehension of analysis that is essential for further exploration of pure and applied mathematics. This book is directly applicable to areas such as differential equations, probability theory, numerical analysis, differential geometry, and functional analysis. Mathematical Analysis is composed of ...

An Introduction to Dynamical Systems and Chaos
  • Language: en
  • Pages: 701

An Introduction to Dynamical Systems and Chaos

None

Handbook of Integral Equations
  • Language: en
  • Pages: 1143

Handbook of Integral Equations

  • Type: Book
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  • Published: 2008-02-12
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  • Publisher: CRC Press

Unparalleled in scope compared to the literature currently available, the Handbook of Integral Equations, Second Edition contains over 2,500 integral equations with solutions as well as analytical and numerical methods for solving linear and nonlinear equations. It explores Volterra, Fredholm, WienerHopf, Hammerstein, Uryson, and other equa

Calculus for Cognitive Scientists
  • Language: en
  • Pages: 519

Calculus for Cognitive Scientists

  • Type: Book
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  • Published: 2016-02-04
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  • Publisher: Springer

This book provides a self-study program on how mathematics, computer science and science can be usefully and seamlessly intertwined. Learning to use ideas from mathematics and computation is essential for understanding approaches to cognitive and biological science. As such the book covers calculus on one variable and two variables and works through a number of interesting first-order ODE models. It clearly uses MatLab in computational exercises where the models cannot be solved by hand, and also helps readers to understand that approximations cause errors – a fact that must always be kept in mind.

Mathematical Analysis
  • Language: en
  • Pages: 304

Mathematical Analysis

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MATHEMATICS
  • Language: en
  • Pages: 688

MATHEMATICS

MATHEMATICS, GANIT, RAM PRASAD, RPP UNIFIED, RP GANIT, THAKUR KISHAN

Quasidifferentiability and Nonsmooth Modelling in Mechanics, Engineering and Economics
  • Language: en
  • Pages: 362

Quasidifferentiability and Nonsmooth Modelling in Mechanics, Engineering and Economics

Nonsmooth energy functions govern phenomena which occur frequently in nature and in all areas of life. They constitute a fascinating subject in mathematics and permit the rational understanding of yet unsolved or partially solved questions in mechanics, engineering and economics. This is the first book to provide a complete and rigorous presentation of the quasidifferentiability approach to nonconvex, possibly nonsmooth, energy functions, of the derivation and study of the corresponding variational expressions in mechanics, engineering and economics, and of their numerical treatment. The new variational formulations derived are illustrated by many interesting numerical problems. The techniqu...

The Foundations of Real Analysis
  • Language: en
  • Pages: 505

The Foundations of Real Analysis

This textbook covers the subject of real analysis from the fundamentals up through beginning graduate level. It is appropriate as an introductory course text or a review text for graduate qualifying examinations. Some special features of the text include a thorough discussion of transcendental functions such as trigonometric, logarithmic, and exponential from power series expansions, deducing all important functional properties from the series definitions. The text is written in a user-friendly manner, and includes full solutions to all assigned exercises throughout the text.

Mathematical Modeling for the Scientific Method
  • Language: en
  • Pages: 520

Mathematical Modeling for the Scientific Method

Part of the International Series in Mathematics Mathematical Modeling for the Scientific Method is intended for the sophomore/junior-level student seeking to be well-grounded in mathematical modeling for their studies in biology, the physical sciences, engineering, and/or medicine. It clarifies the connection between deductive and inductive reasoning as used in Mathematics and Science and urges students to think critically about concepts and applications. The authors’ goal is to be introductory in level while covering a broad range of techniques. They unite topics in statistics, linear algebra, calculus, and differential equations, while discussing how these subjects are interrelated and utilized. Mathematical Modeling for the Scientific Method leaves students with a clearer perspective of the role of mathematics within the sciences and the understanding of how to rationally work through even rigorous applications with ease.