Imbedding is a powerful and versatile tool for problem solving. Rather than treat a question in isolation, we view it as a member of a family of related problems. Each member then becomes a stepping stone in a path to a simultaneous solution of the entire set of problems. As might be expected, there are many ways of accomplishing this imbedding. Time and space variables have been widely employed in the past, while modern approaches combine these structural features with others less immediate. Why should one search for alternate imbeddings when elegant classical formalisms already exist? There are many reasons. To begin with, different imbeddings are useful for different purposes. Some are well suited to the derivation of existence and uniqueness theorems, some to the derivation of conservation relations, some to perturbation techniques and sensitivity analysis, some to computa tional studies. The digital computer is designed for initial value problems; the analog computer for boundary-value problems. It is essential then to be flexible and possess the ability to use one device or the other, or both. In economics, engineering, biology and physics, some pro cesses lend themselves more easily to one type of imbedding rather than another. Thus, for example, stochastic decision processes are well adapted to dynamic programming. In any case, to go hunting in the wilds of the scientific world armed with only one arrow in one's quiver is quite foolhardy.
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Seller: Munster & Company LLC, ABAA/ILAB, Corvallis, OR, U.S.A.
Condition: Good. Springer-Verlag, 1971. This Book is in Good Condition. Small round red sticker on front flap otherwise light wear to covers and edges, previous owner's label blacked out on ffep, text is clean with no marks, binding tight. Not Ex-Library or Remaindered. 100% Guaranteed. paperback. Good. Seller Inventory # 622978
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Condition: Good. *Price HAS BEEN REDUCED by 10% until Monday, June 8 (weekend SALE item)* 150 pp., Paperback, covers faded, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1348147
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Soft cover. Condition: Very Good. Softcover in VG condition: slight to mild exterior wear, spine slightly faded, slight pencil erasure inside the front cover, a few light penciled notations in the text, left because they appear to be corrections or learned annotations, otherwise unmarked. 150 pages. [10oz]. Book. Seller Inventory # 069208
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Condition: Gut. 160 Seiten Sprache: Englisch Gewicht in Gramm: 311 25,4 x 17,8 x 0,9 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 1971. Seller Inventory # 344981
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Broschur. Condition: Gut. 148 Computer Science Informatik Mathematics Naturwissenschaften Natural Sciences Physik Physics Manuscript. Guter Zustand/ Good Ex-Library. Leichte Gebrauchsspuren. ha1057580 Sprache: Englisch Gewicht in Gramm: 300. Seller Inventory # 285738
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Imbedding is a powerful and versatile tool for problem solving. Rather than treat a question in isolation, we view it as a member of a family of related problems. Each member then becomes a stepping stone in a path to a simultaneous solution of the entire set of problems. As might be expected, there are many ways of accomplishing this imbedding. Time and space variables have been widely employed in the past, while modern approaches combine these structural features with others less immediate. Why should one search for alternate imbeddings when elegant classical formalisms already exist There are many reasons. To begin with, different imbeddings are useful for different purposes. Some are well suited to the derivation of existence and uniqueness theorems, some to the derivation of conservation relations, some to perturbation techniques and sensitivity analysis, some to computa tional studies. The digital computer is designed for initial value problems; the analog computer for boundary-value problems. It is essential then to be flexible and possess the ability to use one device or the other, or both. In economics, engineering, biology and physics, some pro cesses lend themselves more easily to one type of imbedding rather than another. Thus, for example, stochastic decision processes are well adapted to dynamic programming. In any case, to go hunting in the wilds of the scientific world armed with only one arrow in one's quiver is quite foolhardy. 160 pp. Englisch. Seller Inventory # 9783540055495
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