lu sheng chong (26 risultati)

Hardcover. Condizione: NF. Hardback in Near Fine condition, without dust jacket. 8vo 8" - 9" tall. 670 pages. Species Descriptions and Key from Volume III, Iconographia Cormophytorum Sinicorum. With the original illustrations. Translated from the Chinese by Judy Young and Dr. Lu-sheng Chong. * Quick Shipping * All Books Mailed in Boxes * Free Tracking Provided *.

Hardcover. Condizione: Near Fine. Condizione sovraccoperta: Near Fine. First Edition. A nice, solid copy. ; B & W illustrations; 6.5 X 2 X 9.5 inches; 670 pages.

Hardcover. Condizione: Good+. Condizione sovraccoperta: Good. No stated issue date, but pre-1970. Binding is solid. Thin pages are unmarked and only a little aged. Flexible boards. Green ribbon bookmark is faded at end. Dustjacket, now in plastic, has a little wear to edges, and spine is sun-faded.

Hardcover. Condizione: Very Good. Dust Jacket Included. 670 pp., index, Chinese and English glossary, identification key, maps on end-papers, maps on end-papers, ill. with 283 b&w line drawings from the original Chinese work. A joint publication of the American Rhododendron Society and the Rhododendron Species Foundation, bringing an important 1974 Chinese monograph to American readers. very good copy in slightly chipped d.j.

Hardcover. Condizione: NF. 1st Printing. Hardback in Near Fine condition with Near Fine dust jacket. . 8vo 8" - 9" tall. 670 pages. Species Descriptions and Key from Volume III, Iconographia Cormophytorum Sinicorum. With the original illustrations. Translated from the Chinese by Judy Young and Dr. Lu-sheng Chong. Dust jacket price clipped. . * Quick Shipping * All Books Mailed in Boxes * Free Tracking Provided *.

670 p. Hardcover with dustjacket (In good condition.).

Cloth. Condizione sovraccoperta: With Jacket. First Edition. Fine with an inscription to fep in a near fine jacket. PP 670, english - chinese glossary, some geographic terms, index to geographic names, guide to pinyin pronunciation of chinese, bibliography, index to latin names. endpaper maps, 283 illustrates species descriptions and a detailed key to the species. Size: 8vo - over 7¾" - 9¾" tall.

Super octavo hardcover (VG+) in d/w (VG-); 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 may reduce your overall postage costs.

Hardcover. Condizione: Good. 670 pages. white jacket several light grubby marks.

hardcover. Condizione: Good. 5th Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

hardcover. Condizione: New. 5th Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Hardcover. Condizione: New. 5th or later Edition. Brand New US Edition textbook. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location.

Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Hardcover. Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: NEW.

Condizione: New.

Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Hardback. Condizione: New. 5th. An Introduction to Optimization Accessible introductory textbook on optimization theory and methods, with an emphasis on engineering design, featuring MATLAB® exercises and worked examples Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and methods, featuring innovative coverage and a straightforward approach. The book begins with a review of basic definitions and notations while also providing the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization, and applications of optimization in machine learning. Numerous diagrams and figures found throughout the book complement the written presentation of key concepts, and each chapter is followed by MATLAB® exercises and practice problems that reinforce the discussed theory and algorithms. The Fifth Edition features a new chapter on Lagrangian (nonlinear) duality, expanded coverage on matrix games, projected gradient algorithms, machine learning, and numerous new exercises at the end of each chapter. An Introduction to Optimization includes information on: The mathematical definitions, notations, and relations from linear algebra, geometry, and calculus used in optimizationOptimization algorithms, covering one-dimensional search, randomized search, and gradient, Newton, conjugate direction, and quasi-Newton methodsLinear programming methods, covering the simplex algorithm, interior point methods, and duality Nonlinear constrained optimization, covering theory and algorithms, convex optimization, and Lagrangian dualityApplications of optimization in machine learning, including neural network training, classification, stochastic gradient descent, linear regression, logistic regression, support vector machines, and clustering. An Introduction to Optimization is an ideal textbook for a one- or two-semester senior undergraduate or beginning graduate course in optimization theory and methods. The text is also of value for researchers and professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.

Hardback. Condizione: New. 5th. An Introduction to Optimization Accessible introductory textbook on optimization theory and methods, with an emphasis on engineering design, featuring MATLAB® exercises and worked examples Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and methods, featuring innovative coverage and a straightforward approach. The book begins with a review of basic definitions and notations while also providing the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization, and applications of optimization in machine learning. Numerous diagrams and figures found throughout the book complement the written presentation of key concepts, and each chapter is followed by MATLAB® exercises and practice problems that reinforce the discussed theory and algorithms. The Fifth Edition features a new chapter on Lagrangian (nonlinear) duality, expanded coverage on matrix games, projected gradient algorithms, machine learning, and numerous new exercises at the end of each chapter. An Introduction to Optimization includes information on: The mathematical definitions, notations, and relations from linear algebra, geometry, and calculus used in optimizationOptimization algorithms, covering one-dimensional search, randomized search, and gradient, Newton, conjugate direction, and quasi-Newton methodsLinear programming methods, covering the simplex algorithm, interior point methods, and duality Nonlinear constrained optimization, covering theory and algorithms, convex optimization, and Lagrangian dualityApplications of optimization in machine learning, including neural network training, classification, stochastic gradient descent, linear regression, logistic regression, support vector machines, and clustering. An Introduction to Optimization is an ideal textbook for a one- or two-semester senior undergraduate or beginning graduate course in optimization theory and methods. The text is also of value for researchers and professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.

Hardcover. Condizione: Good. Good condition. Ex-library.