Darmowa dostawa dla zamówień powyżej 299,00 zł.

Sprawdzić stan zamówienia

Zostań członkiem wspólnoty miłośników książek z całego świata i zyskaj mnóstwo korzyści. Załóż konto bezpłatnie

Darmowa dostawa z usługą Inpost oraz Orlen od 299.00 zł

DPD Kurier 12.99 zł Poczta Polska 18.99 zł Paczkomat 13.99 zł InPost Kurier 12.99 zł Punkt DPD 11.99 zł

Kontakt

Jak kupować

Pomoc

Moje konto

▸ Pusty :-(

Darmowa dostawa dla zamówień powyżej 299,00 zł.

Numerical Methods and Optimization

Name: Numerical Methods and Optimization
Brand: Springer, Berlin
SKU: 42644969
Price: 186.92 PLN
Availability: InStock
Author: Jean-Pierre Corriou
ISBN: 9783030893682

Theory and Practice for Engineers

Jean-Pierre Corriou

Język

Angielski

Książka Miękka

Kod Libristo: 42644969

Wydawnictwo Springer, Berlin, listopad 2022

This text, covering a very large span of numerical methods and optimization, is primarily aimed at a... Cały opis

Kod Libristo: 42644969

104 b

186.92 zł

Dostępna u dostawcy Wysyłamy za 10-18 dni

Nawet do 30 dni na zwrot

Klienci kupili także

Python Machine Learning Vahid Mirjalili

Miękka

231.68 zł

Python for Data Analysis 3e Wes Mckinney

Miękka

259.60 zł

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Aurelien Geron

Miękka

291.32 zł

Data Science with Java Michael R. Brzustowicz

Miękka

264.32 zł

Cracking the Coding Interview Gayle Laakmann McDowell

Miękka

212.89 zł

Practical Statistics for Data Scientists Andrew Bruce

Miękka

291.11 zł

Core Java Vol. I: Fundamentals Cay Horstmann

Miękka

356.91 zł

Core Java, Volume II: Advanced Features Cay Horstmann

Miękka

356.91 zł

This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab(TM) is available on the author's personal website and presents both numerical and optimization methods.