Mastering Mathematical Finance
1345 Kč
Odesíláme do 5 až 7 dní
Sleva až 70% u třetiny knih
This book focuses on solving and implementing the increasingly complex numerical problems that arise in finance. Readers will learn the numerical techniques and programming skills necessary for any aspiring quant developer. No programming background is required, making the book thoroughly suitable for beginners.
| Autor: | Capinski, Maciej J.; Kopp, Ekkehard |
| Nakladatel: | Cambridge University Press |
| ISBN: | 9780521177160 |
| Rok vydání: | 2012 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 175 |
Mohlo by se vám také líbit..
-
Quantum Computing for Computer Scien...
Yanofsky, Noson S.
-
Mining of Massive Datasets
Leskovec, Jure (Stanford University, California); Rajaraman, Anand; Ullman, Jeffrey David (Stanford University, Californ
-
Mathematics for Machine Learning
Deisenroth, Marc Peter (University College London); Faisal, A. Aldo (Imperial College London); Ong, Cheng Soon
-
Cambridge International AS & A L...
Piper, Tony
-
Introduction to Applied Linear Algebra
Boyd, Stephen P.
-
Natural Language Processing
Zhang-Yue, Zhou
-
Purely Functional Data Structures
Okasaki, Chris (Columbia University, New York)
-
Learning Scientific Programming with ...
Hill, Christian
-
Industry Unbound
Waldman, Ari Ezra (Northeastern University, Boston)
-
A Hands-On Introduction to Data Science
Shah, Chirag (University of Washington)
-
Machine Learning with Neural Networks
Mehlig, Bernhard (Goeteborgs Universitet, Sweden)
-
Machine Learning for Asset Managers
De Prado, Lopez
-
The Discrete Mathematical Charms of P...
Applegate, David L.; Bixby, Robert E.; Chvatal, Vasek; Cook, William J.
-
Integer Linear Programming in Comput...
Gusfield, Dan (University of California, Davis)
-
How to Write Good Programs
Stevens, Perdita
-
Game Theory Basics
Von Stengel, Rudiger