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Nondifferentiable Optimization by Demyanov V F (21 results)
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Nondifferentiable Optimization (Translation Series in Mathematics and Engineering)
Published by Springer-Verlag New York, Incorporated, New York, NY, U.S.A., 1985
ISBN 10: 0387909516 ISBN 13: 9780387909516
Language: English
Seller: Alphaville Books, Inc., Hyattsville, MD, U.S.A.
Seller rating 4 out of 5 stars
Hard Cover. Condition: Very Good. No Jacket. Play in front hinge. very clean.
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Nondifferentiable Optimization (Translations series in mathematics and engineering)
Published by Optimization Software, 1985
ISBN 10: 091157509X ISBN 13: 9780911575095
Language: English
Hardcover. Condition: Interior is excellent. Minimal wear to cover.
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Nondifferentiable Optimization (Translation Series in Mathematics and Engineering)
Published by Springer-Verlag New York, Incorporated, New York, NY, U.S.A., 1985
ISBN 10: 0387909516 ISBN 13: 9780387909516
Language: English
Seller: Alphaville Books, Inc., Hyattsville, MD, U.S.A.
Seller rating 4 out of 5 stars
Hard Cover. Condition: Near Fine. No Jacket. Very clean.
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Nondifferentiable Optimization
Published by Optimization Software Inc
Seller: Hard to Find Books NZ (Internet) Ltd., Dunedin, OTAGO, New Zealand
Association Member: IOBA
Seller rating 5 out of 5 stars
£ 10.12
Convert currency£ 18.99 shipping from New Zealand to U.S.A.Quantity: 1 available
Add to baskethardcover octavo (NF); all our specials have minimal description to keep listing them viable. They are at least reading copies, complete and in reasonable condition, but usually secondhand; frequently they are superior examples.Ordering more than one book will reduce your overall postage cost.
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Nondifferentiable Optimization (Translation Series in Mathematics and Engineering)
Published by Springer-Verlag New York, Incorporated, New York, NY, U.S.A., 1985
ISBN 10: 0387909516 ISBN 13: 9780387909516
Language: English
Hardcover. Condition: As New. 454 Pages. Unread and Unmarked. Because of the size of this book we can only ship to USA or CANADA. n.
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Condition: New. SUPER FAST SHIPPING.
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Condition: New.
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Nondifferentiable Optimization (Translations Series in Mathematics and Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 49.13
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 480.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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£ 69.28
Convert currency£ 25 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. reprint edition. 469 pages. 9.50x6.75x1.25 inches. In Stock.
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Condition: New. pp. xvii + 452.
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£ 53.62
Convert currency£ 55.65 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Of recent coinage, the term 'nondifferentiable optimization' (NDO) covers a spectrum of problems related to finding extremal values of nondifferentiable functions. Problems of minimizing nonsmooth functions arise in engineering applications as well as in mathematics proper. The Chebyshev approximation problem is an ample illustration of this. Without loss of generality, we shall consider only minimization problems. Among nonsmooth minimization problems, minimax problems and convex problems have been studied extensively ([31], [36], [57], [110], [120]). Interest in NDO has been constantly growing in recent years (monographs: [30], [81], [127] and articles and papers: [14], [20], [87]-[89], [98], [130], [135], [140]-[142], [152], [153], [160], all dealing with various aspects of non smooth optimization). For solving an arbitrary minimization problem, it is neces sary to: 1. Study properties of the objective function, in particular, its differentiability and directional differentiability. 2. Establish necessary (and, if possible, sufficient) condi tions for a global or local minimum. 3. Find the direction of descent (steepest or, simply, feasible--in appropriate sense). 4. Construct methods of successive approximation. In this book, the minimization problems for nonsmooth func tions of a finite number of variables are considered. Of fun damental importance are necessary conditions for an extremum (for example, [24], [45], [57], [73], [74], [103], [159], [163], [167], [168].
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£ 107.74
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Add to basketCondition: New. pp. xvii + 452.
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£ 113.73
Convert currency£ 8.64 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. xvii + 452.
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Nondifferentiable Optimization
Published by Optimization Software, Inc. (1985), New York, 1985
Seller: Expatriate Bookshop of Denmark, Svendborg, Denmark
Seller rating 5 out of 5 stars
£ 60.31
Convert currency£ 111.98 shipping from Denmark to U.S.A.Quantity: 1 available
Add to basketorig.cloth Minor rubbing, some page-edge soil, VG. 24x17cm, xvii, 454 pp Contents: Fundamentals of Convex Analysis & Related Problems; Quasidifferentiable Functions; Minimization on the Entire Space; Constrained Minimization. Minor rubbing, some page-edge soil, VG.
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Nondifferentiable Optimization
Published by Springer New York, Chapman And Hall/CRC Jan 2012, 2012
ISBN 10: 146138270X ISBN 13: 9781461382706
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 47.82
Convert currency£ 19.97 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Of recent coinage, the term 'nondifferentiable optimization' (NDO) covers a spectrum of problems related to finding extremal values of nondifferentiable functions. Problems of minimizing nonsmooth functions arise in engineering applications as well as in mathematics proper. The Chebyshev approximation problem is an ample illustration of this. Without loss of generality, we shall consider only minimization problems. Among nonsmooth minimization problems, minimax problems and convex problems have been studied extensively ([31], [36], [57], [110], [120]). Interest in NDO has been constantly growing in recent years (monographs: [30], [81], [127] and articles and papers: [14], [20], [87]-[89], [98], [130], [135], [140]-[142], [152], [153], [160], all dealing with various aspects of non smooth optimization). For solving an arbitrary minimization problem, it is neces sary to: 1. Study properties of the objective function, in particular, its differentiability and directional differentiability. 2. Establish necessary (and, if possible, sufficient) condi tions for a global or local minimum. 3. Find the direction of descent (steepest or, simply, feasible--in appropriate sense). 4. Construct methods of successive approximation. In this book, the minimization problems for nonsmooth func tions of a finite number of variables are considered. Of fun damental importance are necessary conditions for an extremum (for example, [24], [45], [57], [73], [74], [103], [159], [163], [167], [168]. 480 pp. Englisch.
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Nondifferentiable Optimization
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 146138270X ISBN 13: 9781461382706
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 57.78
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 789.
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£ 68.33
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Add to basketCondition: New. Print on Demand pp. 480 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 480.
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Nondifferentiable Optimization
Published by Springer New York, Springer New York Jan 2012, 2012
ISBN 10: 146138270X ISBN 13: 9781461382706
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 47.82
Convert currency£ 52.09 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Of recent coinage, the term 'nondifferentiable optimization' (NDO) covers a spectrum of problems related to finding extremal values of nondifferentiable functions. Problems of minimizing nonsmooth functions arise in engineering applications as well as in mathematics proper. The Chebyshev approximation problem is an ample illustration of this. Without loss of generality, we shall consider only minimization problems. Among nonsmooth minimization problems, minimax problems and convex problems have been studied extensively ([31], [36], [57], [110], [120]). Interest in NDO has been constantly growing in recent years (monographs: [30], [81], [127] and articles and papers: [14], [20], [87]-[89], [98], [130], [135], [140]-[142], [152], [153], [160], all dealing with various aspects of non smooth optimization). For solving an arbitrary minimization problem, it is neces sary to: 1. Study properties of the objective function, in particular, its differentiability and directional differentiability. 2. Establish necessary (and, if possible, sufficient) condi tions for a global or local minimum. 3. Find the direction of descent (steepest or, simply, feasible--in appropriate sense). 4. Construct methods of successive approximation. In this book, the minimization problems for nonsmooth func tions of a finite number of variables are considered. Of fun damental importance are necessary conditions for an extremum (for example, [24], [45], [57], [73], [74], [103], [159], [163], [167], [168].Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch.
