Wilke Daniel N (53 results)

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New. In English.

Condition: New. In English.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Original-Pappband. Condition: Sehr gut. gr8 Original-Pappband 2nd Ed. en (Springer Optimization and Its Applications, Vol. 133) XXVI, 372 pp.

Condition: New. pp. 400.

Softcover/Taschenbuch. Condition: Neu. This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills. Sprache: Englisch Gewicht in Gramm: 604.…

Gebundene Ausgabe. Condition: Neu. This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills. Sprache: Englisch Gewicht in Gramm: 712.…

Softcover. Condition: gut. 2018. Practical Mathematical Optimization. Basic Optimization Theory an Gradient-Based Algorithms In deutscher Sprache. pages.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Softcover/Taschenbuch. Condition: Neu. Das operationelle Risiko ist weithin untersucht worden, und es gibt internationale Leitlinien, die Verfahren f?r das korrekte Management des operationellen Risikos vorsehen; dies wurde jedoch noch nicht unter dem Gesichtspunkt der Nachhaltigkeit von Unternehmen untersucht. Daher wird in dieser Arbeit versucht, einen Weg zu finden, um die Auswirkungen von operationellen Risiken auf die Nachhaltigkeit von Unternehmen zu modellieren und zu optimieren. Die angewandte Methodik basiert auf der Zuordnung zweier Verteilungsfunktionen zur Erstellung eines probabilistischen Modells, das die Quantifizierung der Eintrittswahrscheinlichkeit (H?ufigkeit) und der erwarteten monet?ren Auswirkung (Schweregrad) auf die Nachhaltigkeitsvariablen (?kologisch, sozial und wirtschaftlich) erm?glicht. Das Ergebnis ist eine statistische Faltung durch Monte-Carlo-Simulation, die es erm?glicht, die Gesamtverluste zu quantifizieren, um schlie?lich einen Optimierungsprozess der Variablen durchzuf?hren und die finanziellen Auswirkungen zu sch?tzen. Daher erweitert diese Studie die Literatur zur Risikoquantifizierung, indem sie ein stochastisches Modell vorschl?gt, das die operationellen Risiken, die mit der unternehmerischen Nachhaltigkeit zusammenh?ngen, quantifiziert und optimiert. Das vorgeschlagene Modell bietet eine praktische M?glichkeit zur Quantifizierung von operationellen Risiken im Zusammenhang mit unternehmerischer Nachhaltigkeit. De Gewicht in Gramm: 96.…