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Hiriart-Urruty, Jean-Baptiste; Lemarechal, Claude - Convex Analysis and Minimization Algorithms - 9783540568520 - V9783540568520
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Convex Analysis and Minimization Algorithms

€ 180.92
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Description for Convex Analysis and Minimization Algorithms Hardback. Aimed at analysts and numerical practitioners alike, this book contains everything from rigorous proofs to tables of numerical calculations. It is designed for those who wish to learn the subject matter starting from little or no background. Series: Die Grundlehren der Mathematischen Wissenschaften. Num Pages: 366 pages, biography. BIC Classification: PBKQ; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 22. Weight in Grams: 1540.
From the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books...that they are designed not for the expert, but for those who whish to learn the subject matter starting from little or no background...there are numerous examples, and counter-examples, to back up the theory...To my knowledge, no other authors have given such a clear geometric account of convex analysis." "This innovative text is well written, copiously illustrated, and accessible to ... Read more

Product Details

Format
Hardback
Publication date
1993
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
366
Condition
New
Series
Die Grundlehren der Mathematischen Wissenschaften
Number of Pages
348
Place of Publication
Berlin, Germany
ISBN
9783540568520
SKU
V9783540568520
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Convex Analysis and Minimization Algorithms
From the reviews: "The account is quite detailed and is written in a manner that will appeal to analysts and numerical practitioners alike...they contain everything from rigorous proofs to tables of numerical calculations.... one of the strong features of these books. . . [is] that they are designed not for the expert, but for those who wish to learn the ... Read more

Goodreads reviews for Convex Analysis and Minimization Algorithms


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