000			a
999			_c34059 _d34059
008			250609b xxu||||| |||| 00| 0 eng d
020			_a9783030893682
082			_a519.6 _bCOR
100			_aCorriou, Jean-Pierre
245			_aNumerical methods and optimization : theory and practice for engineers
260			_bSpringer, _c2021. _aCham :
300			_axx, 715 p. ; _bill., (some col.), _c24 cm.
365			_b69.99 _c€ _d100.40
490			_aSpringer optimization and its applications ; _vv.187
504			_aIncludes bibliographical references and index.
520			_aThis 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.
650			_aCivil engineering
650			_aEngineering mathematics
650			_aSciences
650			_aTechnology
650			_aMathematics
942			_2ddc _cBK