Brian denton (34 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Zustand: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Soft cover. Zustand: Good. No Jacket. stapled paperback, pictorial gloss card covers, small mark on the title page else a very good tightly bound copy, illustrated, 48pp.

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Soft cover. Zustand: Very Good. paperback, square 4to, 48pp, illustrated, clean and tight, no inscriptions, corners slightly scuffed, Very Good condition. ISBN: 0907036058.

Zustand: New.

Hardcover. Zustand: Good. Zustand des Schutzumschlags: Good. 1st Edition. A good clean copy with a hint of foxing to the prelims only. The book describes most types of fire appliance that have served in New Zealand, from the early steam vehicles to the modern turbo-driven ones. Each machine is illustrated by a photograph. There is discussion of private industrial brigades as well as those of municipal and state authorities. The material is arranged chronologically, and there is an index.…

Paperback. Zustand: Brand New. 240 pages. 9.00x6.00x0.55 inches. In Stock.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Tired ex-library, quarto 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. Zustand: Near Fine. Zustand des Schutzumschlags: Near Fine. First Edition. With b&w and colour illstns. Very tidy, a touch of foxing in the endpapers. Dust jacket is intact and bright. A heavy book. Size: 4to - over 9¾" - 12" tall.

Hardcover. Zustand: Good. Zustand des Schutzumschlags: Good. 1st Edition. Chariots for fire: A pictorial history of the New Zealand fire engine by Brian Denton. Publisher: Reed Books, 1995, first edition. Good hardback with jacket, some rubbing and fading to edges, foxing to first and last few pages, no inscriptions. Jacket has shelf/edge-wear, chipping, foxing to reverse side. 200 pages, illustrated. In this comprehensive pictorial history, Brian Denton describes and illustrates virtually every type of fire appliance that has seen service in New Zealand, from early steam-powered vehicles to the latest turbo-driven appliances. Arranged chronologically, this unique book includes over 360 photographs, accompanied by historical and technical information on every appliance shown. It is an essential reference for all those interested in fire fighting machinery and automotive history. Size 294 mm by 220 mm. ALL PHOTOS ARE OF THE ACTUAL BOOK. All books are sent with free courier postage within New Zealand.…

Quarto, maroon cloth boards with gilt lettering to spine, illus title page, 200pp, illus, VG+ (light rubbing to board edges) in d/w, VG+ (foxing to inside).

Card Covers. Zustand: Near Fine. First Edition. 7 items in folding box, as issued. Catalogue of an exhibition organized by The Robert McLaughlin Gallery with The Tom Thomson Art Gallery and The Kitchener-Waterloo Art Gallery. Limited to 750 copies.

Card Covers. Zustand: Near Fine. First Edition. 7 items in folding box, as issued. Catalogue of an exhibition organized by The Robert McLaughlin Gallery with The Tom Thomson Art Gallery and The Kitchener-Waterloo Art Gallery. Limited to 750 copies.

Zustand: New.

paperback. Zustand: Very Good.

Hardcover. Zustand: Very Good. 2013. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: Very Good. Very Good+; Hardcover; Covers are still glossy; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); 2.0 lbs; Dark red and orange covers with title in white lettering; 2013, Springer-Verlag Publishing; 536 pages; "Handbook of Healthcare Operations Management: Methods and Applications (International Series in Operations Research & Management Science)," by Brian T. Denton. …

Zustand: New. 2026. 1st Edition. hardcover. . . . . .

Hardback. Zustand: New. Mathematical models and algorithms for sequential decisions under uncertainty Sequential decisions under uncertainty arise in many fields including energy, healthcare, finance, transportation, and logistics, yet accessible treatments linking foundational theory to computational practice remain scarce. Decision Analytics: Mathematical Models and Algorithms for Sequential Decision-Making, written by Brian T. Denton, a past President of INFORMS, presents a structured progression from core concepts through advanced methods, pairing rigorous mathematics with implementable Python code. Across ten chapters, Decision Analytics covers decision trees, Monte Carlo simulation, Markov chains, Markov decision processes, partially observable Markov decision processes, and constrained optimization models, including stochastic programs. Dedicated chapters on reinforcement learning and multi-agent learning introduce model-free approaches for finding optimal or near-optimal solutions. The final chapter covers approximate dynamic programming for decision-making at scale. Real-world examples, exercises, and an instructor's solution manual support classroom adoption. Readers will also find: Coverage of artificial intelligence techniques applied to sequential decision-making problems Monte Carlo simulation methods used to analyse decision trees, Markov decision processes, and stochastic programming formulations Python code examples throughout the text enabling direct implementation and experimentation with each model and algorithm presented Practice exercises with solutions and an instructor's manual designed to support both self-study and classroom-based teaching A concept-first pedagogical approach that explains foundational principles before demonstrating how they solve applied problems Designed for undergraduate and graduate students in industrial engineering, operations research, and related STEM disciplines with introductory knowledge of mathematics, probability, and statistics, this book also serves researchers and professionals who require unified treatment of sequential decision-making methods.…

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - Mathematical models and algorithms for sequential decisions under uncertainty Sequential decisions under uncertainty arise in many fields including energy, healthcare, finance, transportation, and logistics, yet accessible treatments linking foundational theory to computational practice remain scarce. Decision Analytics: Mathematical Models and Algorithms for Sequential Decision-Making, written by Brian T. Denton, a past President of INFORMS, presents a structured progression from core concepts through advanced methods, pairing rigorous mathematics with implementable Python code. Across ten chapters, Decision Analytics covers decision trees, Monte Carlo simulation, Markov chains, Markov decision processes, partially observable Markov decision processes, and constrained optimization models, including stochastic programs. Dedicated chapters on reinforcement learning and multi-agent learning introduce model-free approaches for finding optimal or near-optimal solutions. The final chapter covers approximate dynamic programming for decision-making at scale. Real-world examples, exercises, and an instructor's solution manual support classroom adoption. Readers will also find: - Coverage of artificial intelligence techniques applied to sequential decision-making problems- Monte Carlo simulation methods used to analyse decision trees, Markov decision processes, and stochastic programming formulations- Python code examples throughout the text enabling direct implementation and experimentation with each model and algorithm presented- Practice exercises with solutions and an instructor's manual designed to support both self-study and classroom-based teaching- A concept-first pedagogical approach that explains foundational principles before demonstrating how they solve applied problems Designed for undergraduate and graduate students in industrial engineering, operations research, and related STEM disciplines with introductory knowledge of mathematics, probability, and statistics, this book also serves researchers and professionals who require unified treatment of sequential decision-making methods.…

Zustand: New.

Hardback. Zustand: New. Mathematical models and algorithms for sequential decisions under uncertainty Sequential decisions under uncertainty arise in many fields including energy, healthcare, finance, transportation, and logistics, yet accessible treatments linking foundational theory to computational practice remain scarce. Decision Analytics: Mathematical Models and Algorithms for Sequential Decision-Making, written by Brian T. Denton, a past President of INFORMS, presents a structured progression from core concepts through advanced methods, pairing rigorous mathematics with implementable Python code. Across ten chapters, Decision Analytics covers decision trees, Monte Carlo simulation, Markov chains, Markov decision processes, partially observable Markov decision processes, and constrained optimization models, including stochastic programs. Dedicated chapters on reinforcement learning and multi-agent learning introduce model-free approaches for finding optimal or near-optimal solutions. The final chapter covers approximate dynamic programming for decision-making at scale. Real-world examples, exercises, and an instructor's solution manual support classroom adoption. Readers will also find: Coverage of artificial intelligence techniques applied to sequential decision-making problems Monte Carlo simulation methods used to analyse decision trees, Markov decision processes, and stochastic programming formulations Python code examples throughout the text enabling direct implementation and experimentation with each model and algorithm presented Practice exercises with solutions and an instructor's manual designed to support both self-study and classroom-based teaching A concept-first pedagogical approach that explains foundational principles before demonstrating how they solve applied problems Designed for undergraduate and graduate students in industrial engineering, operations research, and related STEM disciplines with introductory knowledge of mathematics, probability, and statistics, this book also serves researchers and professionals who require unified treatment of sequential decision-making methods.…

Zustand: New.

Zustand: New.