Description 
1 online resource (viii, 229 pages) : illustrations. 

text txt rdacontent 

computer c rdamedia 

online resource cr rdacarrier 

text file PDF rda 
Series 
MATLAB Solutions Series 

MATLAB solutions series.

Note 
Online resource; title from PDF title page (SpringerLink, viewed September 29, 2014). 
Summary 
MATLAB is a highlevel language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and builtin math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. Programming MATLAB for Numerical Analysis introduces you to the MATLAB language with practical handson instructions and results, allowing you to quickly achieve your goals. You will first become familiar with the MATLAB environment, and then you will begin to harness the power of MATLAB. You will learn the MATLAB language, starting with an introduction to variables, and how to manipulate numbers, vectors, matrices, arrays and character strings. You will learn about MATLAB?s highprecision capabilities, and how you can use MATLAB to solve problems, making use of arithmetic, relational and logical operators in combination with the common functions and operations of real and complex analysis and linear algebra. You will learn to implement various numerical methods for optimization, interpolation and solving nonlinear equations. You will discover how MATLAB can solve problems in differential and integral calculus, both numerically and symbolically, including techniques for solving ordinary and partial differential equations, and how to graph the solutions in brilliant high resolution. You will then expand your knowledge of the MATLAB language by learning how to use commands which enable you to investigate the convergence of sequences and series, and explore continuity and other analytical features of functions in one and several variables. 
Contents 
Machine generated contents note: ch. 1 MATLAB Environment  Starting MATLAB on Windows. The MATLAB working environment  MATLAB Command Window  Escape and exit to DOS environment commands  Preferences for the Command Window  Command History window  Launch Pad window  Current Directory window  help browser  Workspace window  Editor and Debugger for Mfiles  Help in MATLAB  ch. 2 MATLAB Language: Variables, Numbers, Operators and Functions  Variables  Vector variables  Matrix variables  Character variables  Numbers  Integers  Functions of integers and divisibility  Alternative bases  Real numbers  Functions with real arguments  Complex numbers  Functions with complex arguments  Elementary functions that support complex vector arguments  Elementary functions that support complex matrix arguments  Random numbers  Operators  Arithmetic operators  Relational operators  Logical operators  Logical functions  ch. 3 MATLAB Language: Development Environment Features  General Purpose Commands  Commands that Handle Variables in the Workspace  Commands that Work with Files in the Operational Environment  Commands that Handle Functions  Commands that Control the Command Window  Start and Exit Commands  File Input/Output Commands  Opening and Closing Files  Reading and Writing Binary Files  Reading and Writing Formatted ASCII Text Files  Control Over the File Position  Exporting and Importing Data to Lotus 123 and Delimited ASCII String and Graphic Formats  Sound Processing Functions  ch. 4 MATLAB Language: MFiles, Scripts, Flow Control and Numerical Analysis Functions  MATLAB and Programming  Text Editor  Scripts  Functions and Mfiles. Eval and Feval  Local and Global Variables  Data Types  Ordinary Differential Equations with Boundary Conditions  ch. 5 Numerical Algorithms: Equations, Derivatives and Integrals  Solving NonLinear Equations  Fixed Point Method for Solving X = G (x)  Newton's Method for Solving the Equation F (x) =0  Schroder's Method for Solving the Equation F (x) =0  Systems of NonLinear Equations  Seidel Method  Newton  Raphson Method  Interpolation Methods  Lagrange Polynomial Interpolation  Newton Polynomial Interpolation  Numerical Derivation Methods  Numerical Derivation via Limits  Richardson's Extrapolation Method  Derivation Using Interpolation (n + 1 nodes)  Numerical Integration Methods  Trapezium Method  Simpson's Method  Ordinary Differential Equations  Euler's Method  Heun's Method  Taylor Series Method. 
Subject 
MATLAB.


MATLAB. (OCoLC)fst01365096


Numerical analysis  Data processing.


MATHEMATICS  Essays.


MATHEMATICS  PreCalculus.


MATHEMATICS  Reference.


Numerical analysis  Data processing.
(OCoLC)fst01041279

Genre/Form 
Electronic books.

Other Form: 
Print version: 9781484202968 
ISBN 
9781484202951 (electronic bk.) 

1484202953 (electronic bk.) 

1484202961 

9781484202968 
Standard No. 
10.1007/9781484202951 doi 

AU@ 000056020529 

CHNEW 000890546 

CHVBK 374492638 

DEBBG BV042991211 

DEBBG BV043617746 
