Matlab Primer Eighth Edition

Highlighting the new aspects of MATLAB® 7.10 and expanding on many existing features, MATLAB® Primer, Eighth Edition shows you how to solve problems in science, engineering, and mathematics. Now in its eighth edition, this popular primer continues to offer a hands-on, step-by-step introduction to using the powerful tools of MATLAB. New to the Eighth Edition A new chapter on object-oriented programming Discussion of the MATLAB File Exchange window, which provides direct access to over 10,000 submissions by MATLAB users Major changes to the MATLAB Editor, such as code folding and the integration of the Code Analyzer (M-Lint) into the Editor Explanation of more powerful Help tools, such as quick help popups for functions via the Function Browser The new bsxfun function A synopsis of each of the MATLAB Top 500 most frequently used functions, operators, and special characters The addition of several useful features, including sets, logical indexing, isequal, repmat, reshape, varargin, and varargout The book takes you through a series of simple examples that become progressively more complex. Starting with the core components of the MATLAB desktop, it demonstrates how to handle basic matrix operations and expressions in MATLAB. The text then introduces commonly used functions and explains how to write your own functions, before covering advanced features, such as object-oriented programming, calling other languages from MATLAB, and MATLAB graphics. It also presents an in-depth look at the Symbolic Toolbox, which solves problems analytically rather than numerically.

Highlighting the new aspects of MATLAB® 7.10 and expanding on many existing features, MATLAB® Primer, Eighth Edition shows you how to solve problems in science, engineering, and mathematics. Now in its eighth edition, this popular primer continues to offer a hands-on, step-by-step introduction to using the powerful tools of MATLAB. New to the Eighth Edition A new chapter on object-oriented programming Discussion of the MATLAB File Exchange window, which provides direct access to over 10,000 submissions by MATLAB users Major changes to the MATLAB Editor, such as code folding and the integration of the Code Analyzer (M-Lint) into the Editor Explanation of more powerful Help tools, such as quick help popups for functions via the Function Browser The new bsxfun function A synopsis of each of the MATLAB Top 500 most frequently used functions, operators, and special characters The addition of several useful features, including sets, logical indexing, isequal, repmat, reshape, varargin, and varargout The book takes you through a series of simple examples that become progressively more complex. Starting with the core components of the MATLAB desktop, it demonstrates how to handle basic matrix operations and expressions in MATLAB. The text then introduces commonly used functions and explains how to write your own functions, before covering advanced features, such as object-oriented programming, calling other languages from MATLAB, and MATLAB graphics. It also presents an in-depth look at the Symbolic Toolbox, which solves problems analytically rather than numerically.

With the spread of the powerhouse MATLAB software into nearly every area of math, science, and engineering, it is important to have a strong introduction to using the software. Updated for version 7.0, MATLAB Primer, Seventh Edition offers such an introduction as well as a "pocketbook" reference for everyday users of the software. It offers an intu

The new edition of this bestselling primer features the latest release of the powerhouse mathematics software package MATLAB, version 6.1. MATLAB recently incorporated an extensive graphical user interface (GUI), and now, more than ever, it offers an intuitive language for expressing problems and solutions both mathematically and graphically. This edition of the Primer offers a complete overview of the new GUI along with a host of other refinements. More emphasis on matrix operations and a new section on the find function that helps you avoid using cumbersome DO loops and makes your code faster and easier to read Full descriptions of all examples, which are now linked to lead you through each chapter, showing how to input and use each example in actual problems A new chapter on programming that clearly shows how to call a C routine from MATLAB New discussions on sparse matrix ordering and visualizations that show how to take advantage of sparsity and solve problems that may otherwise be intractable Why spend endless hours struggling through thick manuals when the MATLAB Primer, Sixth Edition can get you going in a fraction of the time? It provides streamlined but thorough coverage, convenient size, and an economical price that make it not only an outstanding introduction for new users, but a handy reference for those already using MATLAB to solve real problems.

The challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk managemen

This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.

The new edition of this bestselling primer features the latest release of the powerhouse mathematics software package MATLAB, version 6.1. MATLAB recently incorporated an extensive graphical user interface (GUI), and now, more than ever, it offers an intuitive language for expressing problems and solutions both mathematically and graphically. This edition of the Primer offers a complete overview of the new GUI along with a host of other refinements. More emphasis on matrix operations and a new section on the find function that helps you avoid using cumbersome DO loops and makes your code faster and easier to read Full descriptions of all examples, which are now linked to lead you through each chapter, showing how to input and use each example in actual problems A new chapter on programming that clearly shows how to call a C routine from MATLAB New discussions on sparse matrix ordering and visualizations that show how to take advantage of sparsity and solve problems that may otherwise be intractable Why spend endless hours struggling through thick manuals when the MATLAB Primer, Sixth Edition can get you going in a fraction of the time? It provides streamlined but thorough coverage, convenient size, and an economical price that make it not only an outstanding introduction for new users, but a handy reference for those already using MATLAB to solve real problems.

The location of an object can often be determined from indirect measurements using a process called estimation. This book explains the mathematical formulation of location-estimation problems and the statistical properties of these mathematical models. It also presents algorithms that are used to resolve these models to obtain location estimates, including the simplest linear models, nonlinear models (location estimation using satellite navigation systems and estimation of the signal arrival time from those satellites), dynamical systems (estimation of an entire path taken by a vehicle), and models with integer ambiguities (GPS location estimation that is centimeter-level accurate). Location Estimation from the Ground Up clearly presents analytic and algorithmic topics not covered in other books, including simple algorithms for Kalman filtering and smoothing, the solution of separable nonlinear optimization problems, estimation with integer ambiguities, and the implicit-function approach to estimating covariance matrices when the estimator is a minimizer or maximizer. It takes a unified approach to estimation while highlighting the differences between classes of estimation problems. The only book on estimation written for math and computer science students and graduates, it includes problems at the end of each chapter, many with solutions, to help readers deepen their understanding of the material and guide them through small programming projects that apply theory and algorithms to the solution of real-world location-estimation problems. The book’s core audience consists of engineers, including software engineers and algorithm developers, and graduate students who work on location-estimation projects and who need help translating the theory into algorithms, code, and deep understanding of the problem in front of them. Instructors in mathematics, computer science, and engineering may also find the book of interest as a primary or supplementary text for courses in location estimation and navigation.