A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Stephen Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering at Stanford University,California, with courtesy appointments in the Department of Computer Science, and the Department of Management Science and Engineering. He is the co-author of Convex Optimization (Cambridge, 2004), written with Lieven Vandenberghe.
Lieven Vandenberghe is a Professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles, with a joint appointment in the Department of Mathematics. He is the co-author, with Stephen Boyd, of Convex Optimization (Cambridge, 2004).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Hardback. Condizione: Fair. This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB, and data sets accompanying the book online. It is suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study. Codice articolo 00107934042
Quantità: 1 disponibili
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Good. Cover is worn/bent. Pages are clean. Codice articolo mon0004173682
Quantità: 1 disponibili
Da: medimops, Berlin, Germania
Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Codice articolo M01316518965-V
Quantità: 1 disponibili
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good. Cover and edges may have some wear. Codice articolo mon0004084000
Quantità: 3 disponibili
Da: GoldBooks, Denver, CO, U.S.A.
Hardcover. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo 73J99_85_1316518965
Quantità: 1 disponibili
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study. A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781316518960
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 369449557
Quantità: 1 disponibili
Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP. Codice articolo 26376628618
Quantità: 1 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18376628608
Quantità: 1 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9781316518960
Quantità: Più di 20 disponibili