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Islamic Microeconomics An Introduction

Elementary Vector Calculus and Its Applications with MATLAB Programming

Elementary Vector Calculus and Its Applications with MATLAB Programming

Sir Isaac Newton one of the greatest scientists and mathematicians of all time introduced the notion of a vector to define the existence of gravitational forces the motion of the planets around the sun and the motion of the moon around the earth. Vector calculus is a fundamental scientific tool that allows us to investigate the origins and evolution of space and time as well as the origins of gravity electromagnetism and nuclear forces. Vector calculus is an essential language of mathematical physics and plays a vital role in differential geometry and studies related to partial differential equations widely used in physics engineering fluid flow electromagnetic fields and other disciplines. Vector calculus represents physical quantities in two or three-dimensional space as well as the variations in these quantities. The machinery of differential geometry of which vector calculus is a subset is used to understand most of the analytic results in a more general form. Many topics in the physical sciences can be mathematically studied using vector calculus techniques. This book is designed under the assumption that the readers have no prior knowledge of vector calculus. It begins with an introduction to vectors and scalars and also covers scalar and vector products vector differentiation and integrals Gauss's theorem Stokes's theorem and Green's theorem. The MATLAB programming is given in the last chapter. This book includes many illustrations solved examples practice examples and multiple-choice questions. | Elementary Vector Calculus and Its Applications with MATLAB Programming

GBP 99.99
1

Handbook of Fractional Calculus for Engineering and Science

Misteaks. . . and how to find them before the teacher does. . . A Calculus Supplement 3rd Edition

Pocket Book of Integrals and Mathematical Formulas

Practical MATLAB Basics for Engineers

Engineering Dynamics Fundamentals and Applications

Engineering Dynamics Fundamentals and Applications

This textbook is intended for the first course of engineering dynamics for undergraduate students. Engineering dynamics is a rigorous topic that typically involves the intensive use of vector mathematics and calculus. This book however uses plain language with less vector mathematics and calculus to introduce these topics of mathematics to students with a high school physics background. Numerous practical examples are provided with their step-by-step worked out solutions as well as case studies to reflect the interests of new engineering and applied engineering students. The topics covered in the Fundamentals of Engineering (FE) examination are presented throughout the text. It also includes roadway dynamics to incorporate engineering dynamics and transportation engineering for civil engineering. Features: Discusses theory using easy-to-understand language with less vector mathematics and calculus Includes practical case studies and numerous realistic step-by-step solved examples Includes exercise problems for students’ practice Provides numerous sample examples related to the Fundamentals of Engineering (FE) exam Includes a solutions manual and PowerPoint slides for adopting instructors Engineering Dynamics: Fundamentals and Applications serves as a useful resource for students across several engineering degree programs such as civil mechanical aerospace automotive chemical and electrical engineering. It is also appropriate for engineering technology and applied science students as well. | Engineering Dynamics Fundamentals and Applications

GBP 99.99
1

Probability and Statistics for Engineering and the Sciences with Modeling using R

Probability and Statistics for Engineering and the Sciences with Modeling using R

Probability and statistics courses are more popular than ever. Regardless of your major or your profession you will most likely use concepts from probability and statistics often in your career. The primary goal behind this book is offering the flexibility for instructors to build most undergraduate courses upon it. This book is designed for either a one-semester course in either introductory probability and statistics (not calculus-based) and/or a one-semester course in a calculus-based probability and statistics course. The book focuses on engineering examples and applications while also including social sciences and more examples. Depending on the chapter flows a course can be tailored for students at all levels and background. Over many years of teaching this course the authors created problems based on real data student projects and labs. Students have suggested these enhance their experience and learning. The authors hope to share projects and labs with other instructors and students to make the course more interesting for both. R is an excellent platform to use. This book uses R with real data sets. The labs can be used for group work in class or for self-directed study. These project labs have been class-tested for many years with good results and encourage students to apply the key concepts and use of technology to analyze and present results. | Probability and Statistics for Engineering and the Sciences with Modeling using R

GBP 89.99
1

Economic Theory

STEM Problems with Mathcad and Python

Object Detection with Deep Learning Models Principles and Applications

Control of Linear Systems

Introduction to Financial Mathematics With Computer Applications

Advanced Engineering Mathematics with MATLAB

Advanced Engineering Mathematics with MATLAB

In the four previous editions the author presented a text firmly grounded in the mathematics that engineers and scientists must understand and know how to use. Tapping into decades of teaching at the US Navy Academy and the US Military Academy and serving for twenty-five years at (NASA) Goddard Space Flight he combines a teaching and practical experience that is rare among authors of advanced engineering mathematics books. This edition offers a smaller easier to read and useful version of this classic textbook. While competing textbooks continue to grow the book presents a slimmer more concise option. Instructors and students alike are rejecting the encyclopedic tome with its higher and higher price aimed at undergraduates. To assist in the choice of topics included in this new edition the author reviewed the syllabi of various engineering mathematics courses that are taught at a wide variety of schools. Due to time constraints an instructor can select perhaps three to four topics from the book the most likely being ordinary differential equations Laplace transforms Fourier series and separation of variables to solve the wave heat or Laplace's equation. Laplace transforms are occasionally replaced by linear algebra or vector calculus. Sturm-Liouville problem and special functions (Legendre and Bessel functions) are included for completeness. Topics such as z-transforms and complex variables are now offered in a companion book Advanced Engineering Mathematics: A Second Course by the same author. MATLAB is still employed to reinforce the concepts that are taught. Of course this Edition continues to offer a wealth of examples and applications from the scientific and engineering literature a highlight of previous editions. Worked solutions are given in the back of the book. | Advanced Engineering Mathematics with MATLAB

GBP 99.99
1

The Theory of Business Enterprise

Health Economics

Basics of Ramsey Theory

The Economics of Sports

Neutrices and External Numbers A Flexible Number System

Control Engineering

Family Burden Coefficient in China Exploratory Research and Application

Observability and Controllability of General Linear Systems

An Advanced Course in Probability and Stochastic Processes

Survival Analysis

Survival Analysis

Survival analysis generally deals with analysis of data arising from clinical trials. Censoring truncation and missing data create analytical challenges and the statistical methods and inference require novel and different approaches for analysis. Statistical properties essentially asymptotic ones of the estimators and tests are aptly handled in the counting process framework which is drawn from the larger arm of stochastic calculus. With explosion of data generation during the past two decades survival data has also enlarged assuming a gigantic size. Most statistical methods developed before the millennium were based on a linear approach even in the face of complex nature of survival data. Nonparametric nonlinear methods are best envisaged in the Machine Learning school. This book attempts to cover all these aspects in a concise way. Survival Analysis offers an integrated blend of statistical methods and machine learning useful in analysis of survival data. The purpose of the offering is to give an exposure to the machine learning trends for lifetime data analysis. Features: Classical survival analysis techniques for estimating statistical functional and hypotheses testing Regression methods covering the popular Cox relative risk regression model Aalen’s additive hazards model etc. Information criteria to facilitate model selection including Akaike Bayes and Focused Penalized methods Survival trees and ensemble techniques of bagging boosting and random survival forests A brief exposure of neural networks for survival data R program illustration throughout the book

GBP 99.99
1

Public Policy Analysis An Integrated Approach

Public Policy Analysis An Integrated Approach

Public Policy Analysis the most widely cited book on the subject provides students with a comprehensive methodology of policy analysis. It starts from the premise that policy analysis is an applied social science discipline designed for solving practical problems facing public and nonprofit organizations. This thoroughly revised sixth edition contains a number of important updates: Each chapter includes an all-new big ideas case study in policy analysis to stimulate student interest in timely and important problems. The dedicated chapter on evidence-based policy and the role of field experiments has been thoroughly rewritten and expanded. New sections on important developments in the field have been added including using scientific evidence in public policymaking systematic reviews meta-analyses and big data. Data sets to apply analytical techniques are included online as IBM SPSS 23. 0 files and are convertible to Excel Stata and R statistical software programs to suit a variety of course needs and teaching styles. All-new PowerPoint slides are included to make instructor preparation easier than ever before. Designed to prepare students from a variety of academic backgrounds to conduct policy analysis on their own without requiring a background in microeconomics Public Policy Analysis Sixth Edition helps students develop the practical skills needed to communicate findings through memos position papers and other forms of structured analytical writing. The text engages students by challenging them to critically analyze the arguments of policy practitioners as well as political scientists economists and political philosophers. | Public Policy Analysis An Integrated Approach

GBP 94.99
1