Vor allem angehenden Ingenieuren und Informatikern bietet der Band einen durch und durch anwendungsbezogenen Zugang zur höheren Mathematik. Die sieben für sich stehende Kapitel können in beliebiger Reihenfolge gelesen werden und geben so Studierenden und Dozenten größtmögliche Flexibilität. Zu den Themen des Lehrwerks gehören gewöhnliche und partielle Differenzialgleichungen, Lineare Algebra, Vektorrechnung, Fourieranalyse, komplexe Analysis, numerische Verfahren, Optimierung, Wahrscheinlichkeitsrechnung und Statistik. Neue ingenieurtechnische Anwendungen und Technologien helfen bei der Aufnahme des Stoffes und bilden gleichzeitig die berufsorientierte Essenz des Buches. Darüber hinaus bietet es mit den ausgefeilten Übungsteilen wichtige Werkzeuge zur Wissenskontrolle. Begleitend zum Lehrbuch ist der "Advanced Engineering Mathematics Student Solutions Manual and Study Guide" erschienen, der weitere Übungen, Musterlösungen und zahlreiche Tipps enthält.
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Erwin Kreyszig's Advanced Engineering Mathematics, 9th Edition introduces engineers and computer scientists to advanced math topics as they relate to practical problems.
In today's world of increasingly complex engineering problems, powerful new mathematical and computational methods, and enormous computer capacities, you can get overwhelmed by little things you will only occasionally use. Instead, you need to learn how to think mathematically and gain a firm grasp of the interrelationship among theory, computing, and experiment. That's why Kreyszig's text helps you develop a solid understanding of the basic principles and methods of advanced engineering mathematics in all three phases of problem solving: Modeling, Solving, and Interpreting. This best-selling text is known for its comprehensive coverage, careful and correct mathematics, outstanding exercises, and self-contained chapters.
Key Features
* New problem sets.
* New Computer Experiments, using the computer as an instrument of "experimental mathematics" for exploration and research.
* More on modeling and selection methods.
* Accurate and solid theoretical foundation.
* Clear examples and exposition of material.
* Modern and standard notations.
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