Solving Optimization Problems with MATLAB®
Seiten
This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.
Dingyü Xue, Northeastern University, Shenyang, China
| Erscheinungsdatum | 07.04.2020 |
|---|---|
| Reihe/Serie | De Gruyter STEM |
| Co-Autor | Tsinghua University Press |
| Zusatzinfo | 100 b/w ill., 43 b/w tbl. |
| Verlagsort | Berlin/Boston |
| Sprache | englisch |
| Maße | 170 x 240 mm |
| Gewicht | 580 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Mathematik / Informatik ► Mathematik | |
| Schlagworte | Anwendungs-Software • Applied • Applied mathematics • Computers • Computer Science • COMPUTERS / Computer Science • COMPUTERS / Computer Simulation • computer simulation • COMPUTERS / Mathematical & Statistical Software • COMPUTERS / Programming • Mathematical & statistical software • Mathematics • MATHEMATICS / Applied • Mathematik • programming • Programming and Languages |
| ISBN-10 | 3-11-066364-3 / 3110663643 |
| ISBN-13 | 978-3-11-066364-8 / 9783110663648 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Grundlagen – Anwendungen – Perspektiven
Buch | Softcover (2022)
Springer Vieweg (Verlag)
34,99 €
Eine Einführung in die Systemtheorie
Buch | Softcover (2022)
UTB (Verlag)
25,00 €
was jeder über Informatik wissen sollte
Buch | Softcover (2024)
Springer Vieweg (Verlag)
37,99 €
