



    Mathematica by Example
Mathematica bv Example is intended to bridge the gap which has existed between the very
elementary handbooks available on Mathematica and those reference books written for the more
advanced Mathematica users. This book is an extension of a manuscript which was developed to
quickly introduce enough Mathematica commands to a group of... 


Quantum Mechanics: A Simplified Approach
Quantum mechanics is one of the most challenging subjects to learn. It is challenging because quantum phenomenon is counterintuitive, and the mathematics used to explain such a phenomenon is very abstract, and difficult to grasp. This textbook is an attempt to overcome these challenges. Every chapter presents quantum ideas step by...   Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)
This book discusses a variety of topics related to industrial and applied mathematics, focusing on wavelet theory, sampling theorems, inverse problems and their applications, partial differential equations as a model of realworld problems, computational linguistics, mathematical models and methods for meteorology, earth systems,...   Ordinary Differential EquationsSkillfully organized introductory text examines origin of differential equations, then defines basic terms and outlines general solution of a differential equation. Subsequent sections deal with integrating factors; dilution and accretion problems; linearization of first order systems; Laplace Transforms; Newton’s Interpolation Formulas,... 

Curves and SingularitiesThe object of this book is to introduce to a new generation of students an area of mathematics that has received a tremendous impetus during the last twenty years or so from developments in singularity theory.
The differential geometry of curves, families of curves and surfaces in Euclidean space has fascinated mathematicians and users...     ComputerBased Numerical & Statistical Techniques (with CDROM)(Mathematics)T he limitations of analytical methods in practical applications have led mathematicians to evolve numerical methods. We know that exact methods often fail in drawing plausible inferences from a given set of tabulated data or in finding roots of transcendental equations or in solving nonlinear differential equations.
Even if analytical... 


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