TY  - GEN
AB  - 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 is available on the authors personal website and presents both numerical and optimization methods.
AU  - Corriou, Jean-Pierre,
CN  - TA335
DO  - 10.1007/978-3-030-89366-8
DO  - doi
ID  - 1441510
KW  - Numerical analysis.
KW  - Mathematical optimization.
KW  - Engineering mathematics.
KW  - Analyse numérique.
KW  - Optimisation mathématique.
KW  - Mathématiques de l'ingénieur.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89366-8
N1  - Includes index.
N2  - 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 is available on the authors personal website and presents both numerical and optimization methods.
SN  - 9783030893668
SN  - 3030893669
T1  - Numerical methods and optimization :theory and practice for engineers /
TI  - Numerical methods and optimization :theory and practice for engineers /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89366-8
VL  - volume 187
ER  -