Programming With Matlab for Scientists A Beginners Introduction

Informationen zum Autor Eugeniy E. Mikhailov earned his PhD from the Physics Department of Texas A&M University and performed postdoctoral study at MIT. He is now a faculty member in the Department of Physics, College of William and Mary. He has been teaching “Computing for Scientists” to undergraduates in physics, math, and computer science for several years. Zusammenfassung This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. Inhaltsverzeichnis COMPUTING ESSENTIALS. Computers and programming languages introduction. Introduction to MATLAB. Boolean algebra, conditional statements, loops. Functions and scripts. SOLVING EVERYDAY PROBLEMS WITH MATLAB. System of linear algebraic equations. Data reduction and fitting. Root finding. Sorting. Numerical integration. Data interpolation. EXPANDING THE SCIENTIST TOOLBOX. Monte Carlo simulations. Optimization problem. Ordinary Differential equations. Discrete Fourier Transform. Digital filters

Produktdetails

• Autoren: Eugeniy E. Mikhailov, Eugeniy E. (College of William and Mary Mikhailov
• Verlag: Taylor & Francis Ltd.
• Inhalt: Buch
• Produktform: Fester Einband
• Erscheinungsdatum: 02.02.2018
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika
• EAN: 9781138570047
• ISBN: 978-1-138-57004-7
• Anzahl Seiten: 252
• Themen: Science: general issues, MATHEMATICS / General, SCIENCE / Physics / General, MATHEMATICS / Applied, Ode, Engineering: general, Functional programming, scientific computing, Fourier series, Merit function, Optimization Methods, Monte Carlo integration, E. Mikhailov Eugeniy, data visualization techniques, Bode plot, algorithm development, False Position, Execution Time, signal processing basics, beginner MATLAB programming for scientists, Nyquist Frequency, Band Stop Filter, Initial Bracket, LCG, Polynomial Interpolation Method, Nth Order Ode, Central Difference Methods, inverse matrix method, RNG Method, MATLAB Solver, Method Integral Estimate, Algorithm Error, Rectangle Method, Bet Fraction