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Zustand: New. pp. xv + 426 Illus.

Zustand: New.

Contents Preface 1 Limit continuity and differentiation 2 Differential calculus Part A 3 Application of differential calculus 4 Differential calculus Part B 5 Multiple integrals 6 Vector spaces 7 Statistics From the Preface New vistas of mental activities are opened by the scientific knowledge of mathematics A sound knowledge of engineering mathematics is very much essential for modern engineers to attain new heights in all aspects of engineering practice This book is a self contained compressive covering the entire gumut of the course of engineering mathematics for 4 years B Tech Program of IITs NITs and all other universities in India This book is written in a lucid easy to understand language Each topic has been thoroughly covered in scope content and also from the examination point of view For each topic several worked out examples carefully selected to cover all aspects of the topic are presented The book starts with limit continuity and differentiation and covers almost every significant topic The portion of differential calculus has been grouped into two parts Important applications of differential calculus too have been taken under consideration while writing of the book Vector spaces and statistics too have been given due importance in this text The text book is designed based on the syllabus of All India Council for Technical Education AICTE The author is hopeful that this new exhaustive book will be useful to both students as well as teachers 336 pp.

Contents Preface 1 Introduction 2 Mathematical background 3 Theory of the simplex method 4 Tableaux and pivoting 5 Application of simplex method 6 Duality in linear programming 7 The revised simplex method 8 Integer programming 9 Sensitivity analysis 10 Parametric programming 11 Matrix games From the Preface An attempt has been mode to introduce new ideas slowly and carefully and to give the reader a good intuitive feeling for the subject The abstract axiomatic development while it has many things to recommend it did not seem appropriate here and was not used Many numerical examples are given and insofar as possible each important idea is illustrated by an example so that the reader who does not follow the theoretical development may assimilate the material by studying the example The book covers almost all the essential topics of linear programming introduction of some important topics have has been given in the beginning of book Theory and applications of simplex method has been given due importance The book widely covers inter programming and parametric programming The revised simplex method has been discussed broadly 334 pp.

Contents Preface 1 Financial management meaning and structure 2 personal financial management 3 Credit card 4 Corporate finance management 5 Capital budgeting 6 Cost of capital 7 Leverage 8 Capital structure 9 Dividend theory 10 Working capital management 11 Cash management 12 Financial market 13 Bank and banking Bibliography Index This book has been especially written according to the requirements of the syllabus The text of this book has been written uniquely and comprehensively that has been discussed in such a simple way that the students will find not difficulty to understand and learnt about it This book contains complete theory description and all the aspects of financial management The term Financial Management has a number of meanings including the administration and maintenance of financial assets The objective of this book is to provide the whole knowledge about what is financial management and how it is important for everyone by which user can understand al the aspects of this book The author shall be thankful to the readers who point out errors and omissions which Inspite of all care might have been there jacket 416 pp.

Contents Vol I Preface 1 Introduction 2 Data structure 3 Data structure and C 4 Searching 5 Complexity Vol II Sorting 7 Dynamic algorithms 8 NP vs P 9 Graph 10 Allocation of memory Bibliography Index In todays world in the field of Computer Science description of problems in the real world has many a superfluous detail An essential step in problem solving is to identify the underlying abstract problems devoid of all unnecessary details Similarly a particular method and model of computer has many details that are irrelevant to the problem eg the processor architecture and the word length One of the arts of computer programming is to suppress unnecessary details of the problem and the computer used An invaluable aid is the use of high level programming language such as C Java Turing Algol ML etc It becomes apparent that seemingly different problems are essentially similar or even equivalent in a deep sense once problems are abstracted For example the problems of maintaining a list of students taking a lecture course and of organizing a dictionary structure in a compiler have much in common both require the storage and manipulation of named things while the things have certain attributes or properties Abstraction allows common solutions to seemingly different problems Data structures and algorithms can be specified in any adequately precise language English and other natural languages are satisfactory if used with care to avoid ambiguity but more precise mathematical languages and programming languages are generally preferred This is a topic covering the representation of data and ways in which those representations can be manipulated This book motivated by the demands of todays advancements in Computer Science is an asset for teachers and students 656 pp.

Contents Preface 1 Introduction 2 Computer algebra 3 Scientific programming in C 4 C extensions to C 5 Chaotic pendulum 6 Matrix algebra 7 Ordinary differential equations 8 Integration of ODEs 9 Partial differential equations 10 Wave equation 11Particle in cell codes 12 Short time critical dynamics 13 Monte Carlo methods and simulation 14 Temperature of Ising Spin models Bibliography Index Computational Physics is the study and implementation of numerical algorithms to solve problems in  physics for which a quantitative theory already exists It is often regarded as a sub discipline of theoretical physics but some consider it an intermediate branch between theoretical and experimental physics Physicists often have a very precise mathematical theory describing how a system would behave It is often the case that solving the theory equations ab initio in order to produce a useful prediction is not practical This is especially true with quantum mechanics where only a handful of simple models have complete analytic solutions In cases where the systems only have numerical solutions computational methods are used Computation now represents an essential component of modern research in accelerator physics astrophysics fluid mechanics lattice field theory and lattice gauge theory especially lattice quantum chromo dynamics plasma physics and solid state physics Computational solid state physics uses density functional theory to calculate properties of solids a method similar to that used by chemists to study moleculesPresent book covers all dimensions of the subject particularly aimed at the students who intend to master in this particular field This book is an asset for all scholars researchers and students jacket 396 pp.