Und dann auf "Zum Home-Bildschirm [+]".
Stöbern
genialokal zum Startbildschirm hinzufügen
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Ihr gewünschter Artikel ist in 0 Buchhandlungen vorrätig - wählen Sie hier eine Buchhandlung in Ihrer Nähe aus:
Assuming no prior background in linear algebra or real analysis, An Introduction to MATLAB® Programming and Numerical Methods for Engineers enables you to develop good computational problem solving techniques through the use of numerical methods and the MATLAB® programming environment. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level allowing you to quickly apply results in practical settings.
Associate Professor, Systems Engineering Department of Electrical Engineering and Computer Sciences Department of Civil and Environmental Engineering University of California Berkeley Ph.D. Aeronautics and Astronautics, Stanford University, 2003 Research interests: Mobile internet applications (location based services), participatory sensing, inverse modeling and data assimilation, control, estimation and optimization of distributed parameter systems. Awards Presidential Early Career Award for Scientists and Engineers (PECASE), The White House, 2010 NASA Top 10 Innovators on Water Sustainability (Launch 2010), 2010 CAREER Award, National Science Foundation, 2009 TRANNY Award, California Transportation Foundation, 2009 Best of ITS Award, citation for "Best Innovating Practice", ITS World Congress, New York, 2008 Clean Technology Innovation Prize, Berkeley Center for Entrepreneurship & Technology, 2008 William F. Ballhaus Prize for Outstanding Doctoral Dissertation in Aeronautics, Stanford University, 2004
- MATLAB® Basics - Variables and Basic Data Structures - Functions - Branching Statement - Iteration - Recursion - Complexity - Representation of Numbers - Errors, Good Practices, and Debugging - Visualization and Plotting - Linear Algebra and Systems of Linear Equations - Least Squares Regression - Interpolation - Series - Root Finding - Finite Differences and Numerical Differentiation - Numerical Integration - Ordinary Differential Equations
