Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Zistiť stav objednávky

Staňte sa súčasťou komunity milovníkov kníh z celého sveta a získajte hromadu výhod. Založiť účet zdarma

Doprava zadarmo s Packetou nad 59.99 €

Kuriér DPD 2.99 € Kuriér GLS 3.99 € Zberné miesto GLS 2.49 € SPS 3.99 € SPS Parcel Shop 2.99 € Packeta kurýr 3.99 € Slovenská pošta 3.99 € Zberné miesto DPD 2.99 € Packeta 2.99 €

Kontakt

Ako nakupovať

Pomoc

Môj účet

▸ Prázdny :-(

Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Numerical Methods and Optimization

Name: Numerical Methods and Optimization
Brand: Springer, Berlin
SKU: 42644969
Price: 45.42 EUR
Availability: InStock
Author: Jean-Pierre Corriou
ISBN: 9783030893682

Theory and Practice for Engineers

Jean-Pierre Corriou

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 42644969

Nakladateľstvo Springer, Berlin, november 2022

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

Libristo kód: 42644969

110 b

45.42 €

Skladom u dodávateľa Odosielame za 10-18 dní

Až 30 dní na vrátenie tovaru

Zákazníci tiež kúpili

Python Machine Learning Vahid Mirjalili

Brožovaná

51.49 €

Python for Data Analysis 3e Wes Mckinney

Brožovaná

56.14 €

Core Java Vol. I: Fundamentals Cay Horstmann

Brožovaná

78.20 €

Core Java, Volume II: Advanced Features Cay Horstmann

Brožovaná

78.20 €

Data Science with Java Michael R. Brzustowicz

Brožovaná

58.17 €

Cracking the Coding Interview Gayle Laakmann McDowell

Brožovaná

46.23 €

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

Brožovaná

63.63 €

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.