عنوان

Optimizatio

شابک

9781461458371 (alk. paper)

کد کشور

IR

شماره

EN-50012

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

کشور محل نشر

IR

عنوان اصلي

Optimizatio

نام عام مواد

[Book]

نام نخستين پديدآور

/ Kenneth Lange

وضعيت ويراست

2nd ed.

محل نشرو پخش و غیره

New York

نام ناشر، پخش کننده و غيره

: Springer,

تاریخ نشرو بخش و غیره

, c2013.

نام خاص و کميت اثر

xvii, 529 p. , ill. , 24 cm

عنوان فروست

(Springer texts in statistics,1431-875X

مشخصه جلد

; 95)

متن يادداشت

Print

متن يادداشت

Includes bibliographical references (p. 499-518) and index.

متن يادداشت

Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students' skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on statistical applications will be especially appealing to graduate students of statistics and biostatistics. The intended audience also includes students in applied mathematics, computational biology, computer science, economics, and physics who want to see rigorous mathematics combined with real applications. In this second edition, the emphasis remains on finite-dimensional optimization. New material has been added on the MM algorithm, block descent and ascent, and the calculus of variations. Convex calculus is now treated in much greater depth. Advanced topics such as the Fenchel conjugate, subdifferentials, duality, feasibility, alternating projections, projected gradient methods, exact penalty methods, and Bregman iteration will equip students with the essentials for understanding modern data mining techniques in high dimensions --Source other than Library of Congress.

متن يادداشت

1. Elementary optimization -- 2. The seven c's of analysis -- 3. The gauge integral -- 4. Differentiation -- 5. Karush-Kuhn-Tucker theory -- 6. Convexity -- 7. Block relaxation -- 8. The MM algorithm -- 9. The EM algorithm -- 10. Newton's method and scoring -- 11. Conjugate gradient and quasi-Newton -- 12. Analysis of convergence -- 13. Penalty and barrier methods -- 14. Convex calculus -- 15. Feasibility and duality -- 16. Convex minimization algorithms -- 17. The calculus of variations -- Appendix.

عنوان

Springer texts in statistics

شماره جلد

95

موضوع مستند نشده

Mathematical optimization

موضوع مستند نشده

Electronic books

شماره رده

مستند نام اشخاص تاييد نشده

Lange, Kenneth.

کشور

ایران

نام ميزبان

9781461458371.pdf

شماره دسترسي

عادی

اطلاعات مختصر

عادی

تاريخ و ساعت مذاکره و دسترسي

9781461458371.pdf

نوع فرمت الکترونيکي

متن

وضعیت فهرست نویسی

old catalog

فرمت انتشار

p

نوع ماده

BL

پیشوند ISBD اعمال شده است

1

سطح دسترسي

a

تكميل شده

Y